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Parallel Processing by Tse Yun Feng
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1Reproducibility Review Of: Random Data Distribution For Efficient Parallel Point Cloud Processing
By Carlos Granell
Reproducibility review completed, adding a registration for proper archival and snapshot.
“Reproducibility Review Of: Random Data Distribution For Efficient Parallel Point Cloud Processing” Metadata:
- Title: ➤ Reproducibility Review Of: Random Data Distribution For Efficient Parallel Point Cloud Processing
- Author: Carlos Granell
Edition Identifiers:
- Internet Archive ID: osf-registrations-6rnyz-v1
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2NASA Technical Reports Server (NTRS) 19760026765: Architecture And Data Processing Alternatives For The TSE Computer. Volume 3: Execution Of A Parallel Counting Algorithm Using Array Logic (Tse) Devices
By NASA Technical Reports Server (NTRS)
A parallel algorithm for counting the number of logic-l elements in a binary array or image developed during preliminary investigation of the Tse concept is described. The counting algorithm is implemented using a basic combinational structure. Modifications which improve the efficiency of the basic structure are also presented. A programmable Tse computer structure is proposed, along with a hardware control unit, Tse instruction set, and software program for execution of the counting algorithm. Finally, a comparison is made between the different structures in terms of their more important characteristics.
“NASA Technical Reports Server (NTRS) 19760026765: Architecture And Data Processing Alternatives For The TSE Computer. Volume 3: Execution Of A Parallel Counting Algorithm Using Array Logic (Tse) Devices” Metadata:
- Title: ➤ NASA Technical Reports Server (NTRS) 19760026765: Architecture And Data Processing Alternatives For The TSE Computer. Volume 3: Execution Of A Parallel Counting Algorithm Using Array Logic (Tse) Devices
- Author: ➤ NASA Technical Reports Server (NTRS)
- Language: English
“NASA Technical Reports Server (NTRS) 19760026765: Architecture And Data Processing Alternatives For The TSE Computer. Volume 3: Execution Of A Parallel Counting Algorithm Using Array Logic (Tse) Devices” Subjects and Themes:
- Subjects: ➤ NASA Technical Reports Server (NTRS) - COMPUTER DESIGN - DATA PROCESSING EQUIPMENT - LOGIC DESIGN - OPTICAL DATA PROCESSING - ALGORITHMS - ARITHMETIC AND LOGIC UNITS - COMPUTER COMPONENTS - CONTROL UNITS (COMPUTERS) - PARALLEL PROCESSING (COMPUTERS) - Metcalfe, A. G. - Bodenheimer, R. E.
Edition Identifiers:
- Internet Archive ID: NASA_NTRS_Archive_19760026765
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3Parallel And Distributed Methods For Image Processing II : 19-20 July, 1998, San Diego, California
A parallel algorithm for counting the number of logic-l elements in a binary array or image developed during preliminary investigation of the Tse concept is described. The counting algorithm is implemented using a basic combinational structure. Modifications which improve the efficiency of the basic structure are also presented. A programmable Tse computer structure is proposed, along with a hardware control unit, Tse instruction set, and software program for execution of the counting algorithm. Finally, a comparison is made between the different structures in terms of their more important characteristics.
“Parallel And Distributed Methods For Image Processing II : 19-20 July, 1998, San Diego, California” Metadata:
- Title: ➤ Parallel And Distributed Methods For Image Processing II : 19-20 July, 1998, San Diego, California
- Language: English
“Parallel And Distributed Methods For Image Processing II : 19-20 July, 1998, San Diego, California” Subjects and Themes:
- Subjects: ➤ Image processing -- Digital techniques -- Congresses - Parallel processing (Electronic computers) -- Congresses - Electronic data processing -- Distributed processing -- Congresses - Computer architecture -- Congresses
Edition Identifiers:
- Internet Archive ID: paralleldistribu0000unse_h5k2
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4NASA Technical Reports Server (NTRS) 20150000299: An Airborne Onboard Parallel Processing Testbed
By NASA Technical Reports Server (NTRS)
This presentation provides information on the progress the Intelligent Payload Module (IPM) development effort. In addition, a vision is presented on integration of the IPM architecture with the GeoSocial Application Program Interface (API) architecture to enable efficient distribution of satellite data products.
“NASA Technical Reports Server (NTRS) 20150000299: An Airborne Onboard Parallel Processing Testbed” Metadata:
- Title: ➤ NASA Technical Reports Server (NTRS) 20150000299: An Airborne Onboard Parallel Processing Testbed
- Author: ➤ NASA Technical Reports Server (NTRS)
- Language: English
“NASA Technical Reports Server (NTRS) 20150000299: An Airborne Onboard Parallel Processing Testbed” Subjects and Themes:
- Subjects: ➤ NASA Technical Reports Server (NTRS) - PARALLEL PROCESSING (COMPUTERS) - ONBOARD DATA PROCESSING - TEST STANDS - PAYLOADS - SMART STRUCTURES - RADIATION EFFECTS - RADIATION TOLERANCE - C++ (PROGRAMMING LANGUAGE) - SYSTEMS-ON-A-CHIP - FIELD-PROGRAMMABLE GATE ARRAYS - PROTOTYPES - PUBLIC RELATIONS - SATELLITE IMAGERY - PRODUCT DEVELOPMENT - Mandl, Daniel J.
Edition Identifiers:
- Internet Archive ID: NASA_NTRS_Archive_20150000299
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5Dynamic Nested Clustering For Parallel PHY-Layer Processing In Cloud-RANs
By Congmin Fan, Ying Jun Zhang and Xiaojun Yuan
Featured by centralized processing and cloud based infrastructure, Cloud Radio Access Network (C-RAN) is a promising solution to achieve an unprecedented system capacity in future wireless cellular networks. The huge capacity gain mainly comes from the centralized and coordinated signal processing at the cloud server. However, full-scale coordination in a large-scale C-RAN requires the processing of very large channel matrices, leading to high computational complexity and channel estimation overhead. To resolve this challenge, we exploit the near-sparsity of large C-RAN channel matrices, and derive a unified theoretical framework for clustering and parallel processing. Based on the framework, we propose a dynamic nested clustering (DNC) algorithm that not only greatly improves the system scalability in terms of baseband-processing and channel-estimation complexity, but also is amenable to various parallel processing strategies for different data center architectures. With the proposed algorithm, we show that the computation time for the optimal linear detector is greatly reduced from $O(N^3)$ to no higher than $O(N^{\frac{42}{23}})$, where $N$ is the number of RRHs in C-RAN.
“Dynamic Nested Clustering For Parallel PHY-Layer Processing In Cloud-RANs” Metadata:
- Title: ➤ Dynamic Nested Clustering For Parallel PHY-Layer Processing In Cloud-RANs
- Authors: Congmin FanYing Jun ZhangXiaojun Yuan
“Dynamic Nested Clustering For Parallel PHY-Layer Processing In Cloud-RANs” Subjects and Themes:
- Subjects: ➤ Distributed, Parallel, and Cluster Computing - Mathematics - Computing Research Repository - Information Theory
Edition Identifiers:
- Internet Archive ID: arxiv-1408.0876
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6Interconnection Networks For Large-scale Parallel Processing : Theory And Case Studies
By Siegel, Howard Jay
Featured by centralized processing and cloud based infrastructure, Cloud Radio Access Network (C-RAN) is a promising solution to achieve an unprecedented system capacity in future wireless cellular networks. The huge capacity gain mainly comes from the centralized and coordinated signal processing at the cloud server. However, full-scale coordination in a large-scale C-RAN requires the processing of very large channel matrices, leading to high computational complexity and channel estimation overhead. To resolve this challenge, we exploit the near-sparsity of large C-RAN channel matrices, and derive a unified theoretical framework for clustering and parallel processing. Based on the framework, we propose a dynamic nested clustering (DNC) algorithm that not only greatly improves the system scalability in terms of baseband-processing and channel-estimation complexity, but also is amenable to various parallel processing strategies for different data center architectures. With the proposed algorithm, we show that the computation time for the optimal linear detector is greatly reduced from $O(N^3)$ to no higher than $O(N^{\frac{42}{23}})$, where $N$ is the number of RRHs in C-RAN.
“Interconnection Networks For Large-scale Parallel Processing : Theory And Case Studies” Metadata:
- Title: ➤ Interconnection Networks For Large-scale Parallel Processing : Theory And Case Studies
- Author: Siegel, Howard Jay
- Language: English
“Interconnection Networks For Large-scale Parallel Processing : Theory And Case Studies” Subjects and Themes:
- Subjects: ➤ Computer networks - Parallel processing (Electronic computers) - Electronic data processing -- Distributed processing - Computer architecture - Parallelverarbeitung - Rechnernetz - Electronic data processing Distributed processing
Edition Identifiers:
- Internet Archive ID: interconnectionn0000sieg
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7Meta-stable States In The Hierarchical Dyson Model Drive Parallel Processing In The Hierarchical Hopfield Network
By Elena Agliari, Adriano Barra, Andrea Galluzzi, Francesco Guerra, Daniele Tantari and Flavia Tavani
In this paper we introduce and investigate the statistical mechanics of hierarchical neural networks: First, we approach these systems \`a la Mattis, by thinking at the Dyson model as a single-pattern hierarchical neural network and we discuss the stability of different retrievable states as predicted by the related self-consistencies obtained from a mean-field bound and from a bound that bypasses the mean-field limitation. The latter is worked out by properly reabsorbing fluctuations of the magnetization related to higher levels of the hierarchy into effective fields for the lower levels. Remarkably, mixing Amit's ansatz technique (to select candidate retrievable states) with the interpolation procedure (to solve for the free energy of these states) we prove that (due to gauge symmetry) the Dyson model accomplishes both serial and parallel processing. One step forward, we extend this scenario toward multiple stored patterns by implementing the Hebb prescription for learning within the couplings. This results in an Hopfield-like networks constrained on a hierarchical topology, for which, restricting to the low storage regime (where the number of patterns grows at most logarithmical with the amount of neurons), we prove the existence of the thermodynamic limit for the free energy and we give an explicit expression of its mean field bound and of the related improved bound
“Meta-stable States In The Hierarchical Dyson Model Drive Parallel Processing In The Hierarchical Hopfield Network” Metadata:
- Title: ➤ Meta-stable States In The Hierarchical Dyson Model Drive Parallel Processing In The Hierarchical Hopfield Network
- Authors: ➤ Elena AgliariAdriano BarraAndrea GalluzziFrancesco GuerraDaniele TantariFlavia Tavani
“Meta-stable States In The Hierarchical Dyson Model Drive Parallel Processing In The Hierarchical Hopfield Network” Subjects and Themes:
- Subjects: ➤ Mathematics - Mathematical Physics - Disordered Systems and Neural Networks - Condensed Matter
Edition Identifiers:
- Internet Archive ID: arxiv-1407.5176
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8Introduction To Parallel Processing
By Codenotti, Bruno
In this paper we introduce and investigate the statistical mechanics of hierarchical neural networks: First, we approach these systems \`a la Mattis, by thinking at the Dyson model as a single-pattern hierarchical neural network and we discuss the stability of different retrievable states as predicted by the related self-consistencies obtained from a mean-field bound and from a bound that bypasses the mean-field limitation. The latter is worked out by properly reabsorbing fluctuations of the magnetization related to higher levels of the hierarchy into effective fields for the lower levels. Remarkably, mixing Amit's ansatz technique (to select candidate retrievable states) with the interpolation procedure (to solve for the free energy of these states) we prove that (due to gauge symmetry) the Dyson model accomplishes both serial and parallel processing. One step forward, we extend this scenario toward multiple stored patterns by implementing the Hebb prescription for learning within the couplings. This results in an Hopfield-like networks constrained on a hierarchical topology, for which, restricting to the low storage regime (where the number of patterns grows at most logarithmical with the amount of neurons), we prove the existence of the thermodynamic limit for the free energy and we give an explicit expression of its mean field bound and of the related improved bound
“Introduction To Parallel Processing” Metadata:
- Title: ➤ Introduction To Parallel Processing
- Author: Codenotti, Bruno
- Language: English
“Introduction To Parallel Processing” Subjects and Themes:
- Subjects: ➤ Parallel processing (Electronic computers) - Integrated circuits -- Very large scale integration - Parallélisme (Informatique) - Circuits intégrés à très grande échelle - Parallelverarbeitung - Einführung - Parallelle verwerking - Parallélisme (informatique) - Parallel programming
Edition Identifiers:
- Internet Archive ID: introductiontopa0000code
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9Job Scheduling Strategies For Parallel Processing : IPPS '96 Workshop, Honolulu, Hawaii, April 16, 1996 : Proceedings
By IPPS '96 Workshop (1996 : Honolulu, Hawaii)
In this paper we introduce and investigate the statistical mechanics of hierarchical neural networks: First, we approach these systems \`a la Mattis, by thinking at the Dyson model as a single-pattern hierarchical neural network and we discuss the stability of different retrievable states as predicted by the related self-consistencies obtained from a mean-field bound and from a bound that bypasses the mean-field limitation. The latter is worked out by properly reabsorbing fluctuations of the magnetization related to higher levels of the hierarchy into effective fields for the lower levels. Remarkably, mixing Amit's ansatz technique (to select candidate retrievable states) with the interpolation procedure (to solve for the free energy of these states) we prove that (due to gauge symmetry) the Dyson model accomplishes both serial and parallel processing. One step forward, we extend this scenario toward multiple stored patterns by implementing the Hebb prescription for learning within the couplings. This results in an Hopfield-like networks constrained on a hierarchical topology, for which, restricting to the low storage regime (where the number of patterns grows at most logarithmical with the amount of neurons), we prove the existence of the thermodynamic limit for the free energy and we give an explicit expression of its mean field bound and of the related improved bound
“Job Scheduling Strategies For Parallel Processing : IPPS '96 Workshop, Honolulu, Hawaii, April 16, 1996 : Proceedings” Metadata:
- Title: ➤ Job Scheduling Strategies For Parallel Processing : IPPS '96 Workshop, Honolulu, Hawaii, April 16, 1996 : Proceedings
- Author: ➤ IPPS '96 Workshop (1996 : Honolulu, Hawaii)
- Language: English
“Job Scheduling Strategies For Parallel Processing : IPPS '96 Workshop, Honolulu, Hawaii, April 16, 1996 : Proceedings” Subjects and Themes:
- Subjects: ➤ Parallel processing (Electronic computers) -- Congresses - Computer capacity -- Management -- Congresses - Production scheduling -- Congresses
Edition Identifiers:
- Internet Archive ID: jobschedulingstr1996ipps
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10Integrated Technology For Parallel Image Processing
By Levialdi, S
Includes bibliographical references and index
“Integrated Technology For Parallel Image Processing” Metadata:
- Title: ➤ Integrated Technology For Parallel Image Processing
- Author: Levialdi, S
- Language: English
“Integrated Technology For Parallel Image Processing” Subjects and Themes:
- Subjects: ➤ Integrated circuits - Image processing - Parallel processing (Electronic computers) - Circuits intégrés à très grande échelle - Traitement d'images - Parallélisme (Informatique) - Bildverarbeitung - Parallelverarbeitung
Edition Identifiers:
- Internet Archive ID: integratedtechno0000levi
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11VMS RTL Parallel Processing Manual
VMS RTL Parallel Processing Manual
“VMS RTL Parallel Processing Manual” Metadata:
- Title: ➤ VMS RTL Parallel Processing Manual
- Language: English
Edition Identifiers:
- Internet Archive ID: ➤ VMS_RTL_Parallel_Processing_Manual
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12An Introduction To Distributed And Parallel Processing
By Sharp, J. A. (John A.), 1955-
VMS RTL Parallel Processing Manual
“An Introduction To Distributed And Parallel Processing” Metadata:
- Title: ➤ An Introduction To Distributed And Parallel Processing
- Author: Sharp, J. A. (John A.), 1955-
- Language: English
“An Introduction To Distributed And Parallel Processing” Subjects and Themes:
- Subjects: ➤ Electronic data processing -- Distributed processing - Parallel processing (Electronic computers)
Edition Identifiers:
- Internet Archive ID: introductiontodi0000shar
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13Parallel Processing For Jet Engine Control
By Thompson, Haydn A., 1965-
VMS RTL Parallel Processing Manual
“Parallel Processing For Jet Engine Control” Metadata:
- Title: ➤ Parallel Processing For Jet Engine Control
- Author: Thompson, Haydn A., 1965-
- Language: English
“Parallel Processing For Jet Engine Control” Subjects and Themes:
- Subjects: ➤ Helios (Computer file) - Airplanes -- Turbojet engines -- Control systems - Transputers - Parallel processing (Electronic computers) - Parallélisme (Informatique) - Luftstrahltriebwerk - Regelung - Transputer - Avions -- Turboréacteurs - Avions -- Systèmes de commande - Jet engines Control systems
Edition Identifiers:
- Internet Archive ID: parallelprocessi0000thom
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14Kai.Faye1985 - Computer Architecture And Parallel Processing
By Kai Hwang, Faye A. Briggs
computerarchitec0000kaih
“Kai.Faye1985 - Computer Architecture And Parallel Processing” Metadata:
- Title: ➤ Kai.Faye1985 - Computer Architecture And Parallel Processing
- Author: Kai Hwang, Faye A. Briggs
- Language: English
Edition Identifiers:
- Internet Archive ID: kai.faye1985
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15Euro-Par 2010 Parallel Processing Workshops : HeteroPar, HPCC, HiBB, CoreGriD, UCHPC, HPCF, PROPER, CCPI, VHPC, Ischia, Italy, August 31-September 3, 2010 : Revised Selected Papers
By International EURO-PAR Conference (16th : 2010 : Ischia, Italy)
computerarchitec0000kaih
“Euro-Par 2010 Parallel Processing Workshops : HeteroPar, HPCC, HiBB, CoreGriD, UCHPC, HPCF, PROPER, CCPI, VHPC, Ischia, Italy, August 31-September 3, 2010 : Revised Selected Papers” Metadata:
- Title: ➤ Euro-Par 2010 Parallel Processing Workshops : HeteroPar, HPCC, HiBB, CoreGriD, UCHPC, HPCF, PROPER, CCPI, VHPC, Ischia, Italy, August 31-September 3, 2010 : Revised Selected Papers
- Author: ➤ International EURO-PAR Conference (16th : 2010 : Ischia, Italy)
- Language: English
“Euro-Par 2010 Parallel Processing Workshops : HeteroPar, HPCC, HiBB, CoreGriD, UCHPC, HPCF, PROPER, CCPI, VHPC, Ischia, Italy, August 31-September 3, 2010 : Revised Selected Papers” Subjects and Themes:
- Subjects: ➤ Parallel processing (Electronic computers) -- Congresses - Informatique - Parallel processing (Electronic computers)
Edition Identifiers:
- Internet Archive ID: europar2010paral0000inte
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16The Massively Parallel Processing System JUMP-1
computerarchitec0000kaih
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- Title: ➤ The Massively Parallel Processing System JUMP-1
- Language: English
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17Leveraging Parallel Data Processing Frameworks With Verified Lifting
By Maaz Bin Safeer Ahmad and Alvin Cheung
Many parallel data frameworks have been proposed in recent years that let sequential programs access parallel processing. To capitalize on the benefits of such frameworks, existing code must often be rewritten to the domain-specific languages that each framework supports. This rewriting-tedious and error-prone-also requires developers to choose the framework that best optimizes performance given a specific workload. This paper describes Casper, a novel compiler that automatically retargets sequential Java code for execution on Hadoop, a parallel data processing framework that implements the MapReduce paradigm. Given a sequential code fragment, Casper uses verified lifting to infer a high-level summary expressed in our program specification language that is then compiled for execution on Hadoop. We demonstrate that Casper automatically translates Java benchmarks into Hadoop. The translated results execute on average 3.3x faster than the sequential implementations and scale better, as well, to larger datasets.
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- Title: ➤ Leveraging Parallel Data Processing Frameworks With Verified Lifting
- Authors: Maaz Bin Safeer AhmadAlvin Cheung
“Leveraging Parallel Data Processing Frameworks With Verified Lifting” Subjects and Themes:
- Subjects: ➤ Databases - Distributed, Parallel, and Cluster Computing - Programming Languages - Computing Research Repository
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- Internet Archive ID: arxiv-1611.07623
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18Parallel Processing
A discussion on parallel processing approaches for Linux. Home Page .
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- Subjects: ➤ palm pilot - palm pilot software - palm pilot downloads - palm - palm os - downloads - palm downloads
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19Skew In Parallel Query Processing
By Paul Beame, Paraschos Koutris and Dan Suciu
We study the problem of computing a conjunctive query q in parallel, using p of servers, on a large database. We consider algorithms with one round of communication, and study the complexity of the communication. We are especially interested in the case where the data is skewed, which is a major challenge for scalable parallel query processing. We establish a tight connection between the fractional edge packings of the query and the amount of communication, in two cases. First, in the case when the only statistics on the database are the cardinalities of the input relations, and the data is skew-free, we provide matching upper and lower bounds (up to a poly log p factor) expressed in terms of fractional edge packings of the query q. Second, in the case when the relations are skewed and the heavy hitters and their frequencies are known, we provide upper and lower bounds (up to a poly log p factor) expressed in terms of packings of residual queries obtained by specializing the query to a heavy hitter. All our lower bounds are expressed in the strongest form, as number of bits needed to be communicated between processors with unlimited computational power. Our results generalizes some prior results on uniform databases (where each relation is a matching) [4], and other lower bounds for the MapReduce model [1].
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- Title: ➤ Skew In Parallel Query Processing
- Authors: Paul BeameParaschos KoutrisDan Suciu
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- Internet Archive ID: arxiv-1401.1872
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20WOPPLOT 86 : Parallel Processing--logic, Organization, And Technology : Proceedings Of A Workshop, Neubiberg, Federal Republic Of Germany, July 2-4, 1986
By WOPPLOT 86 (1986 : Neubiberg, Germany)
We study the problem of computing a conjunctive query q in parallel, using p of servers, on a large database. We consider algorithms with one round of communication, and study the complexity of the communication. We are especially interested in the case where the data is skewed, which is a major challenge for scalable parallel query processing. We establish a tight connection between the fractional edge packings of the query and the amount of communication, in two cases. First, in the case when the only statistics on the database are the cardinalities of the input relations, and the data is skew-free, we provide matching upper and lower bounds (up to a poly log p factor) expressed in terms of fractional edge packings of the query q. Second, in the case when the relations are skewed and the heavy hitters and their frequencies are known, we provide upper and lower bounds (up to a poly log p factor) expressed in terms of packings of residual queries obtained by specializing the query to a heavy hitter. All our lower bounds are expressed in the strongest form, as number of bits needed to be communicated between processors with unlimited computational power. Our results generalizes some prior results on uniform databases (where each relation is a matching) [4], and other lower bounds for the MapReduce model [1].
“WOPPLOT 86 : Parallel Processing--logic, Organization, And Technology : Proceedings Of A Workshop, Neubiberg, Federal Republic Of Germany, July 2-4, 1986” Metadata:
- Title: ➤ WOPPLOT 86 : Parallel Processing--logic, Organization, And Technology : Proceedings Of A Workshop, Neubiberg, Federal Republic Of Germany, July 2-4, 1986
- Author: ➤ WOPPLOT 86 (1986 : Neubiberg, Germany)
- Language: English
“WOPPLOT 86 : Parallel Processing--logic, Organization, And Technology : Proceedings Of A Workshop, Neubiberg, Federal Republic Of Germany, July 2-4, 1986” Subjects and Themes:
- Subjects: ➤ Parallel processing (Electronic computers) -- Congresses - Parallélisme (Informatique) -- Congrès - Parallel processing (Electronic computers) - Parallel processing (Electronic computers) Congresses
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- Internet Archive ID: wopplot86paralle0253wopp
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21NASA Technical Reports Server (NTRS) 19880007011: Application Of Parallel Distributed Processing To Space Based Systems
By NASA Technical Reports Server (NTRS)
The concept of using Parallel Distributed Processing (PDP) to enhance automated experiment monitoring and control is explored. Recent very large scale integration (VLSI) advances have made such applications an achievable goal. The PDP machine has demonstrated the ability to automatically organize stored information, handle unfamiliar and contradictory input data and perform the actions necessary. The PDP machine has demonstrated that it can perform inference and knowledge operations with greater speed and flexibility and at lower cost than traditional architectures. In applications where the rule set governing an expert system's decisions is difficult to formulate, PDP can be used to extract rules by associating the information an expert receives with the actions taken.
“NASA Technical Reports Server (NTRS) 19880007011: Application Of Parallel Distributed Processing To Space Based Systems” Metadata:
- Title: ➤ NASA Technical Reports Server (NTRS) 19880007011: Application Of Parallel Distributed Processing To Space Based Systems
- Author: ➤ NASA Technical Reports Server (NTRS)
- Language: English
“NASA Technical Reports Server (NTRS) 19880007011: Application Of Parallel Distributed Processing To Space Based Systems” Subjects and Themes:
- Subjects: ➤ NASA Technical Reports Server (NTRS) - ARCHITECTURE (COMPUTERS) - DISTRIBUTED PROCESSING - EXPERT SYSTEMS - PARALLEL PROCESSING (COMPUTERS) - SPACECRAFT CONTROL - VERY LARGE SCALE INTEGRATION - INFERENCE - KNOWLEDGE - MONITORS - PROBLEM SOLVING - Macdonald, J. R. - Heffelfinger, H. L.
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22NASA Technical Reports Server (NTRS) 19820006976: Application Of Integration Algorithms In A Parallel Processing Environment For The Simulation Of Jet Engines
By NASA Technical Reports Server (NTRS)
The application of Predictor corrector integration algorithms developed for the digital parallel processing environment are investigated. The algorithms are implemented and evaluated through the use of a software simulator which provides an approximate representation of the parallel processing hardware. Test cases which focus on the use of the algorithms are presented and a specific application using a linear model of a turbofan engine is considered. Results are presented showing the effects of integration step size and the number of processors on simulation accuracy. Real time performance, interprocessor communication, and algorithm startup are also discussed.
“NASA Technical Reports Server (NTRS) 19820006976: Application Of Integration Algorithms In A Parallel Processing Environment For The Simulation Of Jet Engines” Metadata:
- Title: ➤ NASA Technical Reports Server (NTRS) 19820006976: Application Of Integration Algorithms In A Parallel Processing Environment For The Simulation Of Jet Engines
- Author: ➤ NASA Technical Reports Server (NTRS)
- Language: English
“NASA Technical Reports Server (NTRS) 19820006976: Application Of Integration Algorithms In A Parallel Processing Environment For The Simulation Of Jet Engines” Subjects and Themes:
- Subjects: ➤ NASA Technical Reports Server (NTRS) - ALGORITHMS - DIGITAL SIMULATION - JET ENGINES - NUMERICAL INTEGRATION - PARALLEL PROCESSING (COMPUTERS) - INTERPROCESSOR COMMUNICATION - LINEAR PREDICTION - MICROPROCESSORS - PREDICTOR-CORRECTOR METHODS - REAL TIME OPERATION - Krosel, S. M. - Milner, E. J.
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23NASA Technical Reports Server (NTRS) 19870017122: Experience In Highly Parallel Processing Using DAP
By NASA Technical Reports Server (NTRS)
Distributed Array Processors (DAP) have been in day to day use for ten years and a large amount of user experience has been gained. The profile of user applications is similar to that of the Massively Parallel Processor (MPP) working group. Experience has shown that contrary to expectations, highly parallel systems provide excellent performance on so-called dirty problems such as the physics part of meteorological codes. The reasons for this observation are discussed. The arguments against replacing bit processors with floating point processors are also discussed.
“NASA Technical Reports Server (NTRS) 19870017122: Experience In Highly Parallel Processing Using DAP” Metadata:
- Title: ➤ NASA Technical Reports Server (NTRS) 19870017122: Experience In Highly Parallel Processing Using DAP
- Author: ➤ NASA Technical Reports Server (NTRS)
- Language: English
“NASA Technical Reports Server (NTRS) 19870017122: Experience In Highly Parallel Processing Using DAP” Subjects and Themes:
- Subjects: ➤ NASA Technical Reports Server (NTRS) - COMPUTER SYSTEMS PERFORMANCE - DISTRIBUTED PROCESSING - PARALLEL COMPUTERS - PARALLEL PROCESSING (COMPUTERS) - COMPUTER NETWORKS - COMPUTER PROGRAMS - FLOATING POINT ARITHMETIC - FORTRAN - MEMORY (COMPUTERS) - Parkinson, D.
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- Internet Archive ID: NASA_NTRS_Archive_19870017122
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24NASA Technical Reports Server (NTRS) 19880013874: Parafrase Restructuring Of FORTRAN Code For Parallel Processing
By NASA Technical Reports Server (NTRS)
Parafrase transforms a FORTRAN code, subroutine by subroutine, into a parallel code for a vector and/or shared-memory multiprocessor system. Parafrase is not a compiler; it transforms a code and provides information for a vector or concurrent process. Parafrase uses a data dependency to reveal parallelism among instructions. The data dependency test distinguishes between recurrences and statements that can be directly vectorized or parallelized. A number of transformations are required to build a data dependency graph.
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- Title: ➤ NASA Technical Reports Server (NTRS) 19880013874: Parafrase Restructuring Of FORTRAN Code For Parallel Processing
- Author: ➤ NASA Technical Reports Server (NTRS)
- Language: English
“NASA Technical Reports Server (NTRS) 19880013874: Parafrase Restructuring Of FORTRAN Code For Parallel Processing” Subjects and Themes:
- Subjects: ➤ NASA Technical Reports Server (NTRS) - COMPUTER SYSTEMS PROGRAMS - COMPUTER TECHNIQUES - FORTRAN - PARALLEL PROCESSING (COMPUTERS) - ARCHITECTURE (COMPUTERS) - COMPUTATION - Wadhwa, Atul
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- Internet Archive ID: NASA_NTRS_Archive_19880013874
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25NASA Technical Reports Server (NTRS) 19910017482: Parallel Processing And Expert Systems
By NASA Technical Reports Server (NTRS)
Whether it be monitoring the thermal subsystem of Space Station Freedom, or controlling the navigation of the autonomous rover on Mars, NASA missions in the 1990s cannot enjoy an increased level of autonomy without the efficient implementation of expert systems. Merely increasing the computational speed of uniprocessors may not be able to guarantee that real-time demands are met for larger systems. Speedup via parallel processing must be pursued alongside the optimization of sequential implementations. Prototypes of parallel expert systems have been built at universities and industrial laboratories in the U.S. and Japan. The state-of-the-art research in progress related to parallel execution of expert systems is surveyed. The survey discusses multiprocessors for expert systems, parallel languages for symbolic computations, and mapping expert systems to multiprocessors. Results to date indicate that the parallelism achieved for these systems is small. The main reasons are (1) the body of knowledge applicable in any given situation and the amount of computation executed by each rule firing are small, (2) dividing the problem solving process into relatively independent partitions is difficult, and (3) implementation decisions that enable expert systems to be incrementally refined hamper compile-time optimization. In order to obtain greater speedups, data parallelism and application parallelism must be exploited.
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- Title: ➤ NASA Technical Reports Server (NTRS) 19910017482: Parallel Processing And Expert Systems
- Author: ➤ NASA Technical Reports Server (NTRS)
- Language: English
“NASA Technical Reports Server (NTRS) 19910017482: Parallel Processing And Expert Systems” Subjects and Themes:
- Subjects: ➤ NASA Technical Reports Server (NTRS) - AUTONOMY - EXPERT SYSTEMS - NASA PROGRAMS - PARALLEL PROCESSING (COMPUTERS) - PROTOTYPES - REAL TIME OPERATION - SPACE STATIONS - SURVEYS - MULTIPROCESSING (COMPUTERS) - NAVIGATION - OPTIMIZATION - PROBLEM SOLVING - PROGRAMMING LANGUAGES - REFINING - Lau, Sonie - Yan, Jerry C.
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26Proceedings Of The International Conference On Parallel Processing
By IEEE Computer Society Staff, author
1 online resource (600 pages)
“Proceedings Of The International Conference On Parallel Processing” Metadata:
- Title: ➤ Proceedings Of The International Conference On Parallel Processing
- Author: ➤ IEEE Computer Society Staff, author
- Language: English
“Proceedings Of The International Conference On Parallel Processing” Subjects and Themes:
- Subjects: ➤ Parallel processing (Electronic computers) -- Congresses - Parallel processing (Electronic computers)
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- Internet Archive ID: proceedingsofint0000ieee
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27Visual Transposed Word Parallel Processing
By Mahmoud Elsherif
Evidence has supported the idea that readers lexically process words serially (one at a time), but evidence by Mirault et al. (2018) has demonstrated a transposed word effect. This effect is where readers have difficulty deciding that sentences such as “do love you me? “are ungrammatical, in which the transposition of two adjacent words (i.e., love you) would form a grammatical sentence, compared to sentences in which the transposition of two words does not result in grammaticality (e.g. the cat white was slowly). This has been taken as evidence for the parallel lexical processing of multiple words simultaneously. Evidence has also shown that the transposed word effect can be attributed to a combination of noisy bottom-up word position coding and top-down syntactic constraints. This effect can be interpreted within serial, as opposed to parallel, reading models. The present study will examine the transposed word effect by varying type of processing for which each of the two transposed words will be presented. We aim to replicate the previous findings by presenting words presented one word following the previous word in a sentence, as opposed to on word being presented at a time. In this experiment, we manipulate sequence type. Thus, we expected that the transposed word effect in visual parallel paradigm to be replicated such that transposed words are responded to more slowly and are more error prone than control words. However, the main focus is on accuracy. In addition, we aim to compare the results of visual transposed word parallel processing with that of visual transposed word serial processing. This is to assess whether the transposed word effect occurs as a result of the integration of word n+1 may begin before the integration of word n is complete, which may allow the transposed word effect to occur (Huang & Staub, 2021) . As a result, the findings we observed may be more likely to ensue, as there is a higher likelihood that word n would not complete when the integration of word n+1 began when all words are presented in a parallel, as opposed to serial manner. If this is the case, then the transposed word effect should be numerically larger in parallel than serial.
“Visual Transposed Word Parallel Processing” Metadata:
- Title: ➤ Visual Transposed Word Parallel Processing
- Author: Mahmoud Elsherif
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- Internet Archive ID: osf-registrations-h3uge-v1
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28Vector And Parallel Processing--VECPAR '98 : Third International Conference, Porto, Portugal, June 21-23, 1998 : Selected Papers And Invited Talks
By International Conference on Vector and Parallel Processing-Systems and Applications (3rd : 1998 : Porto, Portugal), Palma, José M. L. M, Dongarra, J. J and Hernández, Vicente (Hernández García)
Evidence has supported the idea that readers lexically process words serially (one at a time), but evidence by Mirault et al. (2018) has demonstrated a transposed word effect. This effect is where readers have difficulty deciding that sentences such as “do love you me? “are ungrammatical, in which the transposition of two adjacent words (i.e., love you) would form a grammatical sentence, compared to sentences in which the transposition of two words does not result in grammaticality (e.g. the cat white was slowly). This has been taken as evidence for the parallel lexical processing of multiple words simultaneously. Evidence has also shown that the transposed word effect can be attributed to a combination of noisy bottom-up word position coding and top-down syntactic constraints. This effect can be interpreted within serial, as opposed to parallel, reading models. The present study will examine the transposed word effect by varying type of processing for which each of the two transposed words will be presented. We aim to replicate the previous findings by presenting words presented one word following the previous word in a sentence, as opposed to on word being presented at a time. In this experiment, we manipulate sequence type. Thus, we expected that the transposed word effect in visual parallel paradigm to be replicated such that transposed words are responded to more slowly and are more error prone than control words. However, the main focus is on accuracy. In addition, we aim to compare the results of visual transposed word parallel processing with that of visual transposed word serial processing. This is to assess whether the transposed word effect occurs as a result of the integration of word n+1 may begin before the integration of word n is complete, which may allow the transposed word effect to occur (Huang & Staub, 2021) . As a result, the findings we observed may be more likely to ensue, as there is a higher likelihood that word n would not complete when the integration of word n+1 began when all words are presented in a parallel, as opposed to serial manner. If this is the case, then the transposed word effect should be numerically larger in parallel than serial.
“Vector And Parallel Processing--VECPAR '98 : Third International Conference, Porto, Portugal, June 21-23, 1998 : Selected Papers And Invited Talks” Metadata:
- Title: ➤ Vector And Parallel Processing--VECPAR '98 : Third International Conference, Porto, Portugal, June 21-23, 1998 : Selected Papers And Invited Talks
- Authors: ➤ International Conference on Vector and Parallel Processing-Systems and Applications (3rd : 1998 : Porto, Portugal)Palma, José M. L. MDongarra, J. JHernández, Vicente (Hernández García)
- Language: English
“Vector And Parallel Processing--VECPAR '98 : Third International Conference, Porto, Portugal, June 21-23, 1998 : Selected Papers And Invited Talks” Subjects and Themes:
Edition Identifiers:
- Internet Archive ID: springer_10.1007-10703040
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29Parallel Photonic Information Processing At Gigabyte Per Second Data Rates Using Transient States.
By Brunner, Daniel, Soriano, Miguel C., Mirasso, Claudio R. and Fischer, Ingo
This article is from Nature Communications , volume 4 . Abstract The increasing demands on information processing require novel computational concepts and true parallelism. Nevertheless, hardware realizations of unconventional computing approaches never exceeded a marginal existence. While the application of optics in super-computing receives reawakened interest, new concepts, partly neuro-inspired, are being considered and developed. Here we experimentally demonstrate the potential of a simple photonic architecture to process information at unprecedented data rates, implementing a learning-based approach. A semiconductor laser subject to delayed self-feedback and optical data injection is employed to solve computationally hard tasks. We demonstrate simultaneous spoken digit and speaker recognition and chaotic time-series prediction at data rates beyond 1 Gbyte/s. We identify all digits with very low classification errors and perform chaotic time-series prediction with 10% error. Our approach bridges the areas of photonic information processing, cognitive and information science.
“Parallel Photonic Information Processing At Gigabyte Per Second Data Rates Using Transient States.” Metadata:
- Title: ➤ Parallel Photonic Information Processing At Gigabyte Per Second Data Rates Using Transient States.
- Authors: Brunner, DanielSoriano, Miguel C.Mirasso, Claudio R.Fischer, Ingo
- Language: English
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- Internet Archive ID: pubmed-PMC3562454
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30Software Development Approach For Parallel Processing Systems Integrating Object-oriented And Functional Paradigms
By Bae, Doo-Hwan
http://uf.catalog.fcla.edu/uf.jsp?st=UF027817463&ix=pm&I=0&V=D&pm=1
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- Author: Bae, Doo-Hwan
- Language: English
“Software Development Approach For Parallel Processing Systems Integrating Object-oriented And Functional Paradigms” Subjects and Themes:
- Subjects: ➤ Parallel processing (Electronic computers - Object-oriented programming (Computer science - Computer software--Development.
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- Internet Archive ID: softwaredevelopm00baed
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31Massively Parallel Simulations Of Relativistic Fluid Dynamics On Graphics Processing Units With CUDA
By Dennis Bazow, Ulrich W. Heinz and Michael Strickland
Relativistic fluid dynamics is a major component in dynamical simulations of the quark-gluon plasma created in relativistic heavy-ion collisions. Simulations of the full three-dimensional dissipative dynamics of the quark-gluon plasma with fluctuating initial conditions are computationally expensive and typically require some degree of parallelization. In this paper, we present a GPU implementation of the Kurganov-Tadmor algorithm which solves the 3+1d relativistic viscous hydrodynamics equations including the effects of both bulk and shear viscosities. We demonstrate that the resulting CUDA-based GPU code is approximately two orders of magnitude faster than the corresponding serial implementation of the Kurganov-Tadmor algorithm. We validate the code using (semi-)analytic tests such as the relativistic shock-tube and Gubser flow.
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- Authors: Dennis BazowUlrich W. HeinzMichael Strickland
“Massively Parallel Simulations Of Relativistic Fluid Dynamics On Graphics Processing Units With CUDA” Subjects and Themes:
- Subjects: ➤ Nuclear Theory - High Energy Physics - Phenomenology - Computational Physics - Physics
Edition Identifiers:
- Internet Archive ID: arxiv-1608.06577
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32ECE 4236 - Parallel Processing & Programming
By Faculty of Engineering, FOE
Tri 2 2015/2016
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- Author: Faculty of Engineering, FOE
- Language: English
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33NASA Technical Reports Server (NTRS) 19880011776: Utilization Of Parallel Processing In Solving The Inviscid Form Of The Average-passage Equation System For Multistage Turbomachinery
By NASA Technical Reports Server (NTRS)
A procedure is outlined which utilizes parallel processing to solve the inviscid form of the average-passage equation system for multistage turbomachinery along with a description of its implementation in a FORTRAN computer code, MSTAGE. A scheme to reduce the central memory requirements of the program is also detailed. Both the multitasking and I/O routines referred to are specific to the Cray X-MP line of computers and its associated SSD (Solid-State Disk). Results are presented for a simulation of a two-stage rocket engine fuel pump turbine.
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- Author: ➤ NASA Technical Reports Server (NTRS)
- Language: English
“NASA Technical Reports Server (NTRS) 19880011776: Utilization Of Parallel Processing In Solving The Inviscid Form Of The Average-passage Equation System For Multistage Turbomachinery” Subjects and Themes:
- Subjects: ➤ NASA Technical Reports Server (NTRS) - COMPUTATIONAL FLUID DYNAMICS - INVISCID FLOW - PARALLEL PROCESSING (COMPUTERS) - TURBINE ENGINES - TURBOMACHINERY - CASCADE FLOW - CRAY COMPUTERS - FORTRAN - MEMORY (COMPUTERS) - ROCKET ENGINES - Mulac, Richard A. - Celestina, Mark L. - Adamczyk, John J. - Misegades, Kent P. - Dawson, Jef M.
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- Internet Archive ID: NASA_NTRS_Archive_19880011776
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34Investigating Parallel Processing In Conscious And Subliminal Semantic Priming
By Oliver Vikbladh
Drawing form the classic priming work (Marcel 1980) and recent advances in semantic priming (Vikbladh and Burgess et al 2023) we investigate the notion that parallel processing of semantic primes is possible when those primes are subliminal but not when conscious. Vikbladh, O., & Burgess, N. (2023, October 31). Revisiting Dichoptic Pattern Masking for Subliminal Semantic Priming. Retrieved from osf.io/kmp8h
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- Author: Oliver Vikbladh
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35NASA Technical Reports Server (NTRS) 19910011387: Parallel Processing And Expert Systems
By NASA Technical Reports Server (NTRS)
Whether it be monitoring the thermal subsystem of Space Station Freedom, or controlling the navigation of the autonomous rover on Mars, NASA missions in the 90's cannot enjoy an increased level of autonomy without the efficient use of expert systems. Merely increasing the computational speed of uniprocessors may not be able to guarantee that real time demands are met for large expert systems. Speed-up via parallel processing must be pursued alongside the optimization of sequential implementations. Prototypes of parallel expert systems have been built at universities and industrial labs in the U.S. and Japan. The state-of-the-art research in progress related to parallel execution of expert systems was surveyed. The survey is divided into three major sections: (1) multiprocessors for parallel expert systems; (2) parallel languages for symbolic computations; and (3) measurements of parallelism of expert system. Results to date indicate that the parallelism achieved for these systems is small. In order to obtain greater speed-ups, data parallelism and application parallelism must be exploited.
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- Title: ➤ NASA Technical Reports Server (NTRS) 19910011387: Parallel Processing And Expert Systems
- Author: ➤ NASA Technical Reports Server (NTRS)
- Language: English
“NASA Technical Reports Server (NTRS) 19910011387: Parallel Processing And Expert Systems” Subjects and Themes:
- Subjects: ➤ NASA Technical Reports Server (NTRS) - COMPUTER SYSTEMS PERFORMANCE - EXPERT SYSTEMS - PARALLEL PROCESSING (COMPUTERS) - PARALLEL PROGRAMMING - REAL TIME OPERATION - RUN TIME (COMPUTERS) - SPACE STATIONS - MULTIPROCESSING (COMPUTERS) - OPTIMIZATION - PROGRAMMING LANGUAGES - RESPONSE TIME (COMPUTERS) - SEQUENTIAL CONTROL - Yan, Jerry C. - Lau, Sonie
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- Internet Archive ID: NASA_NTRS_Archive_19910011387
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36NASA Technical Reports Server (NTRS) 19900006338: Investigation Of The Applicability Of A Functional Programming Model To Fault-tolerant Parallel Processing For Knowledge-based Systems
By NASA Technical Reports Server (NTRS)
In a fault-tolerant parallel computer, a functional programming model can facilitate distributed checkpointing, error recovery, load balancing, and graceful degradation. Such a model has been implemented on the Draper Fault-Tolerant Parallel Processor (FTPP). When used in conjunction with the FTPP's fault detection and masking capabilities, this implementation results in a graceful degradation of system performance after faults. Three graceful degradation algorithms have been implemented and are presented. A user interface has been implemented which requires minimal cognitive overhead by the application programmer, masking such complexities as the system's redundancy, distributed nature, variable complement of processing resources, load balancing, fault occurrence and recovery. This user interface is described and its use demonstrated. The applicability of the functional programming style to the Activation Framework, a paradigm for intelligent systems, is then briefly described.
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- Title: ➤ NASA Technical Reports Server (NTRS) 19900006338: Investigation Of The Applicability Of A Functional Programming Model To Fault-tolerant Parallel Processing For Knowledge-based Systems
- Author: ➤ NASA Technical Reports Server (NTRS)
- Language: English
“NASA Technical Reports Server (NTRS) 19900006338: Investigation Of The Applicability Of A Functional Programming Model To Fault-tolerant Parallel Processing For Knowledge-based Systems” Subjects and Themes:
- Subjects: ➤ NASA Technical Reports Server (NTRS) - COMPUTER PROGRAMMING - EXPERT SYSTEMS - FAULT TOLERANCE - PARALLEL COMPUTERS - PARALLEL PROCESSING (COMPUTERS) - ALGORITHMS - ARCHITECTURE (COMPUTERS) - COGNITION - FAULT DETECTION - LOADS (FORCES) - Harper, Richard
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- Internet Archive ID: NASA_NTRS_Archive_19900006338
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37Dec :: Books :: Digital Press :: Segall Parallel Processing The Cm* Experience 1987
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- Language: English
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38Ieee :: Conference On Parallel Processing :: 1979 International Conference On Parallel Processing
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- Language: English
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39Serial Parallel Dataflow-pipelined Processing Architecture Based Accelerator For 2D Transform-quantization In Video Coder And Decoder
By Sumalatha Shivarudraiah, Rajeswari
The video coder and decoder (CODEC) standards from MPEG-4 to the recent versatile video codec (VVC), adopted lossy compression methodologies, which involves transformation, quantization and entropy coding. The growing usage of video data in all means of communication demands more bandwidth and storage requirements. While compression with redundancy removal by transform coefficient coding, the focal point is the crucial sequential data flow and data processing structures. Handling the block wise data near to the processing unit prior and after computation will reduce the data waiting time of the processing unit, hence accelerating the targeted functionality. The proposed serial parallel data-flow pipelined processing architecture (SPDPA) accelerates the speed of processing unit by on chip data availability and parallel data accessing options and also with the pipeline operations of transformation, data transpose and quantization. The post implementation results of the architecture targeted to 16 nm and 28 nm field programmable gate array (FPGA) shows that there is a trade-off between power and frequency of operations for various block sizes. The design targeted to 16 nm works for higher frequencies with an average power consumption 0.64 w as compared to 28 nm FPGA which consumes less average power of 0.15 w.
“Serial Parallel Dataflow-pipelined Processing Architecture Based Accelerator For 2D Transform-quantization In Video Coder And Decoder” Metadata:
- Title: ➤ Serial Parallel Dataflow-pipelined Processing Architecture Based Accelerator For 2D Transform-quantization In Video Coder And Decoder
- Author: ➤ Sumalatha Shivarudraiah, Rajeswari
- Language: English
“Serial Parallel Dataflow-pipelined Processing Architecture Based Accelerator For 2D Transform-quantization In Video Coder And Decoder” Subjects and Themes:
- Subjects: ➤ Contrast sensitivity function - Discrete cosine transforms - Field programmable gate array - High efficiency video coding - Human visual system - Modulation transfer function - Versatile video coding
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- Internet Archive ID: 79-25755
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40International Conference On Parallel Processing : Proceedings : 18-21 August, 2002, Vancouver, B.C., Canada
By International Conference on Parallel Processing (31st : 2002 : Vancouver, B.C.)
The video coder and decoder (CODEC) standards from MPEG-4 to the recent versatile video codec (VVC), adopted lossy compression methodologies, which involves transformation, quantization and entropy coding. The growing usage of video data in all means of communication demands more bandwidth and storage requirements. While compression with redundancy removal by transform coefficient coding, the focal point is the crucial sequential data flow and data processing structures. Handling the block wise data near to the processing unit prior and after computation will reduce the data waiting time of the processing unit, hence accelerating the targeted functionality. The proposed serial parallel data-flow pipelined processing architecture (SPDPA) accelerates the speed of processing unit by on chip data availability and parallel data accessing options and also with the pipeline operations of transformation, data transpose and quantization. The post implementation results of the architecture targeted to 16 nm and 28 nm field programmable gate array (FPGA) shows that there is a trade-off between power and frequency of operations for various block sizes. The design targeted to 16 nm works for higher frequencies with an average power consumption 0.64 w as compared to 28 nm FPGA which consumes less average power of 0.15 w.
“International Conference On Parallel Processing : Proceedings : 18-21 August, 2002, Vancouver, B.C., Canada” Metadata:
- Title: ➤ International Conference On Parallel Processing : Proceedings : 18-21 August, 2002, Vancouver, B.C., Canada
- Author: ➤ International Conference on Parallel Processing (31st : 2002 : Vancouver, B.C.)
- Language: English
“International Conference On Parallel Processing : Proceedings : 18-21 August, 2002, Vancouver, B.C., Canada” Subjects and Themes:
- Subjects: ➤ Parallel processing (Electronic computers) -- Congresses - Parallel processing (Electronic computers)
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- Internet Archive ID: internationalcon0000inte_x4i1
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41NASA Technical Reports Server (NTRS) 19900012903: Parallel Asynchronous Hardware Implementation Of Image Processing Algorithms
By NASA Technical Reports Server (NTRS)
Research is being carried out on hardware for a new approach to focal plane processing. The hardware involves silicon injection mode devices. These devices provide a natural basis for parallel asynchronous focal plane image preprocessing. The simplicity and novel properties of the devices would permit an independent analog processing channel to be dedicated to every pixel. A laminar architecture built from arrays of the devices would form a two-dimensional (2-D) array processor with a 2-D array of inputs located directly behind a focal plane detector array. A 2-D image data stream would propagate in neuron-like asynchronous pulse-coded form through the laminar processor. No multiplexing, digitization, or serial processing would occur in the preprocessing state. High performance is expected, based on pulse coding of input currents down to one picoampere with noise referred to input of about 10 femtoamperes. Linear pulse coding has been observed for input currents ranging up to seven orders of magnitude. Low power requirements suggest utility in space and in conjunction with very large arrays. Very low dark current and multispectral capability are possible because of hardware compatibility with the cryogenic environment of high performance detector arrays. The aforementioned hardware development effort is aimed at systems which would integrate image acquisition and image processing.
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- Title: ➤ NASA Technical Reports Server (NTRS) 19900012903: Parallel Asynchronous Hardware Implementation Of Image Processing Algorithms
- Author: ➤ NASA Technical Reports Server (NTRS)
- Language: English
“NASA Technical Reports Server (NTRS) 19900012903: Parallel Asynchronous Hardware Implementation Of Image Processing Algorithms” Subjects and Themes:
- Subjects: ➤ NASA Technical Reports Server (NTRS) - ALGORITHMS - ARCHITECTURE (COMPUTERS) - COMPUTER VISION - DIGITAL COMPUTERS - FOCAL PLANE DEVICES - IMAGE PROCESSING - PARALLEL PROCESSING (COMPUTERS) - CODING - DATA ACQUISITION - LOW TEMPERATURE ENVIRONMENTS - SILICON - Coon, Darryl D. - Perera, A. G. U.
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- Internet Archive ID: NASA_NTRS_Archive_19900012903
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42NASA Technical Reports Server (NTRS) 19900013763: The Power And Efficiency Of Advanced Software And Parallel Processing
By NASA Technical Reports Server (NTRS)
Real-time simulation of flexible and articulating systems is difficult because of the computational burden of the time varying calculations. The mobile servicing system of the NASA Space Station Freedom will handle heavy payloads by local arm manipulations and by translating along the spline of the Station, it is crucial to have real-time simulation available. To enable such a simulation to be of high fidelity and to be able to be hosted on a modest computer, special care must be made in formulating the structural dynamics. Frontal solution algorithms save considerable time in performing these calculations. In addition, it is necessary to take advantage of parallel processing be compatible to take full advantage of both. An approach is offered which will result in high fidelity, real-time simulation for flexible, articulating systems such as the space Station remote servicing system.
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- Title: ➤ NASA Technical Reports Server (NTRS) 19900013763: The Power And Efficiency Of Advanced Software And Parallel Processing
- Author: ➤ NASA Technical Reports Server (NTRS)
- Language: English
“NASA Technical Reports Server (NTRS) 19900013763: The Power And Efficiency Of Advanced Software And Parallel Processing” Subjects and Themes:
- Subjects: ➤ NASA Technical Reports Server (NTRS) - ALGORITHMS - COMPUTERIZED SIMULATION - DYNAMIC RESPONSE - DYNAMIC STRUCTURAL ANALYSIS - PARALLEL PROCESSING (COMPUTERS) - SPACE STATIONS - COMPUTER PROGRAMS - ORBITAL SERVICING - PAYLOAD INTEGRATION - REMOTE CONTROL - TRANSLATIONAL MOTION - Singh, Ramen P. - Taylor, Lawrence W., Jr.
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- Internet Archive ID: NASA_NTRS_Archive_19900013763
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43Programming The Propeller With Spin : A Beginner's Guide To Parallel Processing
By Sandhu, Harprit
Real-time simulation of flexible and articulating systems is difficult because of the computational burden of the time varying calculations. The mobile servicing system of the NASA Space Station Freedom will handle heavy payloads by local arm manipulations and by translating along the spline of the Station, it is crucial to have real-time simulation available. To enable such a simulation to be of high fidelity and to be able to be hosted on a modest computer, special care must be made in formulating the structural dynamics. Frontal solution algorithms save considerable time in performing these calculations. In addition, it is necessary to take advantage of parallel processing be compatible to take full advantage of both. An approach is offered which will result in high fidelity, real-time simulation for flexible, articulating systems such as the space Station remote servicing system.
“Programming The Propeller With Spin : A Beginner's Guide To Parallel Processing” Metadata:
- Title: ➤ Programming The Propeller With Spin : A Beginner's Guide To Parallel Processing
- Author: Sandhu, Harprit
- Language: English
“Programming The Propeller With Spin : A Beginner's Guide To Parallel Processing” Subjects and Themes:
- Subjects: ➤ Programmable controllers - Microcontrollers -- Programming - Spin (Computer program language) - Parallel processing (Electronic computers)
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- Internet Archive ID: programmingprope0000sand
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44Parallel Rapidly Exploring Random Tree Method For Unmanned Aerial Vehicles Autopilot Development Using Graphics Processing Unit Processing
By Lesia Mochurad, Monika Davidekova, Stergios-Aristoteles Mitoulis
Autonomous air movement systems hold great potential for transforming various industries, making their development essential. Autopilot design involves advanced technologies like artificial intelligence, machine learning, and big data. This paper focuses on developing a parallel rapidly-exploring random tree (RRT) algorithm using compute unified device architecture (CUDA) technology for efficient processing on graphics processing units (GPUs). The study evaluates the algorithm's performance in automated trajectory planning for unmanned aerial vehicles (UAVs). Numerical experiments show that the parallel algorithm outperforms the sequential central processing unit (CPU)-based version, especially as task complexity and state space dimensions increase. In scenarios with numerous obstacles, the parallel algorithm maintains stable performance, making it well-suited for various applications. Comparisons with CPU-based methods highlight the advantages of GPU use, particularly in terms of speed and efficiency. Additionally, the performance of two GPU models, NVIDIA RTX 2070 and T4 is compared, with the T4 demonstrating superior performance for similar tasks. Future research should explore integrating multiple algorithms for a more comprehensive UAV autopilot system. The proposed approach stands out for its stability and practical applicability in real-world autopilot implementations.
“Parallel Rapidly Exploring Random Tree Method For Unmanned Aerial Vehicles Autopilot Development Using Graphics Processing Unit Processing” Metadata:
- Title: ➤ Parallel Rapidly Exploring Random Tree Method For Unmanned Aerial Vehicles Autopilot Development Using Graphics Processing Unit Processing
- Author: ➤ Lesia Mochurad, Monika Davidekova, Stergios-Aristoteles Mitoulis
- Language: English
“Parallel Rapidly Exploring Random Tree Method For Unmanned Aerial Vehicles Autopilot Development Using Graphics Processing Unit Processing” Subjects and Themes:
- Subjects: ➤ Acceleration - Compute unified device architecture technology - Single instruction multiple data - System of autopilot - Unmanned aerial vehicle
Edition Identifiers:
- Internet Archive ID: 71-25553
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45Proceedings Of The 1984 International Conference On Parallel Processing : August 21-24, 1984
By International Conference on Parallel Processing (13th : 1984 : Ohio State University)
Autonomous air movement systems hold great potential for transforming various industries, making their development essential. Autopilot design involves advanced technologies like artificial intelligence, machine learning, and big data. This paper focuses on developing a parallel rapidly-exploring random tree (RRT) algorithm using compute unified device architecture (CUDA) technology for efficient processing on graphics processing units (GPUs). The study evaluates the algorithm's performance in automated trajectory planning for unmanned aerial vehicles (UAVs). Numerical experiments show that the parallel algorithm outperforms the sequential central processing unit (CPU)-based version, especially as task complexity and state space dimensions increase. In scenarios with numerous obstacles, the parallel algorithm maintains stable performance, making it well-suited for various applications. Comparisons with CPU-based methods highlight the advantages of GPU use, particularly in terms of speed and efficiency. Additionally, the performance of two GPU models, NVIDIA RTX 2070 and T4 is compared, with the T4 demonstrating superior performance for similar tasks. Future research should explore integrating multiple algorithms for a more comprehensive UAV autopilot system. The proposed approach stands out for its stability and practical applicability in real-world autopilot implementations.
“Proceedings Of The 1984 International Conference On Parallel Processing : August 21-24, 1984” Metadata:
- Title: ➤ Proceedings Of The 1984 International Conference On Parallel Processing : August 21-24, 1984
- Author: ➤ International Conference on Parallel Processing (13th : 1984 : Ohio State University)
- Language: English
“Proceedings Of The 1984 International Conference On Parallel Processing : August 21-24, 1984” Subjects and Themes:
- Subjects: ➤ Parallel processing (Electronic computers) -- Congresses - Parallélisme (Informatique) -- Congrès - Parallel processing (Electronic computers) - Parallelverarbeitung
Edition Identifiers:
- Internet Archive ID: proceedingsof1980000inte
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46Parallel Processing For Scientific Computing
Autonomous air movement systems hold great potential for transforming various industries, making their development essential. Autopilot design involves advanced technologies like artificial intelligence, machine learning, and big data. This paper focuses on developing a parallel rapidly-exploring random tree (RRT) algorithm using compute unified device architecture (CUDA) technology for efficient processing on graphics processing units (GPUs). The study evaluates the algorithm's performance in automated trajectory planning for unmanned aerial vehicles (UAVs). Numerical experiments show that the parallel algorithm outperforms the sequential central processing unit (CPU)-based version, especially as task complexity and state space dimensions increase. In scenarios with numerous obstacles, the parallel algorithm maintains stable performance, making it well-suited for various applications. Comparisons with CPU-based methods highlight the advantages of GPU use, particularly in terms of speed and efficiency. Additionally, the performance of two GPU models, NVIDIA RTX 2070 and T4 is compared, with the T4 demonstrating superior performance for similar tasks. Future research should explore integrating multiple algorithms for a more comprehensive UAV autopilot system. The proposed approach stands out for its stability and practical applicability in real-world autopilot implementations.
“Parallel Processing For Scientific Computing” Metadata:
- Title: ➤ Parallel Processing For Scientific Computing
- Language: English
Edition Identifiers:
- Internet Archive ID: parallelprocessi0000unse_e3t3
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47Parallel Processing In Information Systems : With Examples And Cases
By Van Zandt, John, 1954-
Autonomous air movement systems hold great potential for transforming various industries, making their development essential. Autopilot design involves advanced technologies like artificial intelligence, machine learning, and big data. This paper focuses on developing a parallel rapidly-exploring random tree (RRT) algorithm using compute unified device architecture (CUDA) technology for efficient processing on graphics processing units (GPUs). The study evaluates the algorithm's performance in automated trajectory planning for unmanned aerial vehicles (UAVs). Numerical experiments show that the parallel algorithm outperforms the sequential central processing unit (CPU)-based version, especially as task complexity and state space dimensions increase. In scenarios with numerous obstacles, the parallel algorithm maintains stable performance, making it well-suited for various applications. Comparisons with CPU-based methods highlight the advantages of GPU use, particularly in terms of speed and efficiency. Additionally, the performance of two GPU models, NVIDIA RTX 2070 and T4 is compared, with the T4 demonstrating superior performance for similar tasks. Future research should explore integrating multiple algorithms for a more comprehensive UAV autopilot system. The proposed approach stands out for its stability and practical applicability in real-world autopilot implementations.
“Parallel Processing In Information Systems : With Examples And Cases” Metadata:
- Title: ➤ Parallel Processing In Information Systems : With Examples And Cases
- Author: Van Zandt, John, 1954-
- Language: English
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- Internet Archive ID: parallelprocessi0000vanz
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48NASA Technical Reports Server (NTRS) 19950018143: Parallel Processing For Scientific Computations
By NASA Technical Reports Server (NTRS)
The scope of this project dealt with the investigation of the requirements to support distributed computing of scientific computations over a cluster of cooperative workstations. Various experiments on computations for the solution of simultaneous linear equations were performed in the early phase of the project to gain experience in the general nature and requirements of scientific applications. A specification of a distributed integrated computing environment, DICE, based on a distributed shared memory communication paradigm has been developed and evaluated. The distributed shared memory model facilitates porting existing parallel algorithms that have been designed for shared memory multiprocessor systems to the new environment. The potential of this new environment is to provide supercomputing capability through the utilization of the aggregate power of workstations cooperating in a cluster interconnected via a local area network. Workstations, generally, do not have the computing power to tackle complex scientific applications, making them primarily useful for visualization, data reduction, and filtering as far as complex scientific applications are concerned. There is a tremendous amount of computing power that is left unused in a network of workstations. Very often a workstation is simply sitting idle on a desk. A set of tools can be developed to take advantage of this potential computing power to create a platform suitable for large scientific computations. The integration of several workstations into a logical cluster of distributed, cooperative, computing stations presents an alternative to shared memory multiprocessor systems. In this project we designed and evaluated such a system.
“NASA Technical Reports Server (NTRS) 19950018143: Parallel Processing For Scientific Computations” Metadata:
- Title: ➤ NASA Technical Reports Server (NTRS) 19950018143: Parallel Processing For Scientific Computations
- Author: ➤ NASA Technical Reports Server (NTRS)
- Language: English
“NASA Technical Reports Server (NTRS) 19950018143: Parallel Processing For Scientific Computations” Subjects and Themes:
- Subjects: ➤ NASA Technical Reports Server (NTRS) - CENTRAL PROCESSING UNITS - DESIGN ANALYSIS - LOCAL AREA NETWORKS - MEMORY (COMPUTERS) - MULTIPROCESSING (COMPUTERS) - OBJECT-ORIENTED PROGRAMMING - PARALLEL PROCESSING (COMPUTERS) - WORKSTATIONS - ALGORITHMS - COMPUTATION - COMPUTERIZED SIMULATION - DATA BASES - DATA REDUCTION - PROTOCOL (COMPUTERS) - Alkhatib, Hasan S.
Edition Identifiers:
- Internet Archive ID: NASA_NTRS_Archive_19950018143
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49NASA Technical Reports Server (NTRS) 20110016655: Parallel-Processing Equalizers For Multi-Gbps Communications
By NASA Technical Reports Server (NTRS)
Architectures have been proposed for the design of frequency-domain least-mean-square complex equalizers that would be integral parts of parallel- processing digital receivers of multi-gigahertz radio signals and other quadrature-phase-shift-keying (QPSK) or 16-quadrature-amplitude-modulation (16-QAM) of data signals at rates of multiple gigabits per second. Equalizers as used here denotes receiver subsystems that compensate for distortions in the phase and frequency responses of the broad-band radio-frequency channels typically used to convey such signals. The proposed architectures are suitable for realization in very-large-scale integrated (VLSI) circuitry and, in particular, complementary metal oxide semiconductor (CMOS) application- specific integrated circuits (ASICs) operating at frequencies lower than modulation symbol rates. A digital receiver of the type to which the proposed architecture applies (see Figure 1) would include an analog-to-digital converter (A/D) operating at a rate, fs, of 4 samples per symbol period. To obtain the high speed necessary for sampling, the A/D and a 1:16 demultiplexer immediately following it would be constructed as GaAs integrated circuits. The parallel-processing circuitry downstream of the demultiplexer, including a demodulator followed by an equalizer, would operate at a rate of only fs/16 (in other words, at 1/4 of the symbol rate). The output from the equalizer would be four parallel streams of in-phase (I) and quadrature (Q) samples.
“NASA Technical Reports Server (NTRS) 20110016655: Parallel-Processing Equalizers For Multi-Gbps Communications” Metadata:
- Title: ➤ NASA Technical Reports Server (NTRS) 20110016655: Parallel-Processing Equalizers For Multi-Gbps Communications
- Author: ➤ NASA Technical Reports Server (NTRS)
- Language: English
“NASA Technical Reports Server (NTRS) 20110016655: Parallel-Processing Equalizers For Multi-Gbps Communications” Subjects and Themes:
- Subjects: ➤ NASA Technical Reports Server (NTRS) - PARALLEL PROCESSING (COMPUTERS) - ANALOG TO DIGITAL CONVERTERS - APPLICATION SPECIFIC INTEGRATED CIRCUITS - LEAST SQUARES METHOD - PHASE SHIFT KEYING - QUADRATURE PHASE SHIFT KEYING - VERY LARGE SCALE INTEGRATION - RADIO FREQUENCIES - SAMPLING - RATES (PER TIME) - QUADRATURES - Gray, Andrew - Ghuman, Parminder - Hoy, Scott - Satorius, Edgar H.
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- Internet Archive ID: NASA_NTRS_Archive_20110016655
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50NASA Technical Reports Server (NTRS) 20050180255: A Parallel Processing Algorithm For Remote Sensing Classification
By NASA Technical Reports Server (NTRS)
A current thread in parallel computation is the use of cluster computers created by networking a few to thousands of commodity general-purpose workstation-level commuters using the Linux operating system. For example on the Medusa cluster at NASA/GSFC, this provides for super computing performance, 130 G(sub flops) (Linpack Benchmark) at moderate cost, $370K. However, to be useful for scientific computing in the area of Earth science, issues of ease of programming, access to existing scientific libraries, and portability of existing code need to be considered. In this paper, I address these issues in the context of tools for rendering earth science remote sensing data into useful products. In particular, I focus on a problem that can be decomposed into a set of independent tasks, which on a serial computer would be performed sequentially, but with a cluster computer can be performed in parallel, giving an obvious speedup. To make the ideas concrete, I consider the problem of classifying hyperspectral imagery where some ground truth is available to train the classifier. In particular I will use the Support Vector Machine (SVM) approach as applied to hyperspectral imagery. The approach will be to introduce notions about parallel computation and then to restrict the development to the SVM problem. Pseudocode (an outline of the computation) will be described and then details specific to the implementation will be given. Then timing results will be reported to show what speedups are possible using parallel computation. The paper will close with a discussion of the results.
“NASA Technical Reports Server (NTRS) 20050180255: A Parallel Processing Algorithm For Remote Sensing Classification” Metadata:
- Title: ➤ NASA Technical Reports Server (NTRS) 20050180255: A Parallel Processing Algorithm For Remote Sensing Classification
- Author: ➤ NASA Technical Reports Server (NTRS)
- Language: English
“NASA Technical Reports Server (NTRS) 20050180255: A Parallel Processing Algorithm For Remote Sensing Classification” Subjects and Themes:
- Subjects: ➤ NASA Technical Reports Server (NTRS) - PARALLEL PROCESSING (COMPUTERS) - ALGORITHMS - REMOTE SENSING - CLASSIFICATIONS - EARTH SCIENCES - UNIX (OPERATING SYSTEM) - IMAGERY - GROUND TRUTH - COMMODITIES - CLASSIFIERS - Gualtieri, J. Anthony
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- Internet Archive ID: NASA_NTRS_Archive_20050180255
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