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This article is from Source Code for Biology and Medicine , volume 7 . Abstract Background: There is a significant demand for creating pipelines or workflows in the life science discipline that chain a number of discrete compute and data intensive analysis tasks into sophisticated analysis procedures. This need has led to the development of general as well as domain-specific workflow environments that are either complex desktop applications or Internet-based applications. Complexities can arise when configuring these applications in heterogeneous compute and storage environments if the execution and data access models are not designed appropriately. These complexities manifest themselves through limited access to available HPC resources, significant overhead required to configure tools and inability for users to simply manage files across heterogenous HPC storage infrastructure. Results: In this paper, we describe the architecture of a software system that is adaptable to a range of both pluggable execution and data backends in an open source implementation called Yabi. Enabling seamless and transparent access to heterogenous HPC environments at its core, Yabi then provides an analysis workflow environment that can create and reuse workflows as well as manage large amounts of both raw and processed data in a secure and flexible way across geographically distributed compute resources. Yabi can be used via a web-based environment to drag-and-drop tools to create sophisticated workflows. Yabi can also be accessed through the Yabi command line which is designed for users that are more comfortable with writing scripts or for enabling external workflow environments to leverage the features in Yabi. Configuring tools can be a significant overhead in workflow environments. Yabi greatly simplifies this task by enabling system administrators to configure as well as manage running tools via a web-based environment and without the need to write or edit software programs or scripts. In this paper, we highlight Yabi's capabilities through a range of bioinformatics use cases that arise from large-scale biomedical data analysis. Conclusion: The Yabi system encapsulates considered design of both execution and data models, while abstracting technical details away from users who are not skilled in HPC and providing an intuitive drag-and-drop scalable web-based workflow environment where the same tools can also be accessed via a command line. Yabi is currently in use and deployed at multiple institutions and is available at http://ccg.murdoch.edu.au/yabi.

Matt Williams - Ganga: an interface to the LHC computing grid [EuroPython 2014] [25 July 2014] Ganga is a tool, designed and used by the large particle physics experiments at CERN. Written in pure Python, it delivers a clean, usable interface to allow thousands of physicists to interact with the huge computing resources available to them. ----- [Ganga](https://cern.ch/ganga) is a tool, designed and used by the large particle physics experiments at CERN. Written in pure Python, it delivers a clean, usable interface to allow thousands of physicists to interact with the huge computing resources available to them. It provides a single platform with which data analysis tasks can be run on anything from a local machine to being distributed seamlessly to computing centres around the world. The talk will cover the problems faced by physicists when dealing with the computer infrastructure and how Ganga helps to solve this problem. It will focus on how Python has helped create such a tool through its advanced features such as metaclasses and integration into IPython.

VIDEO BY: Serge Berig in Collaboration With Kris Kitchen Our Moonshot: Help END Cancer & AIDS. Find better materials for clean energy systems. We can make this happen by establishing Android as the largest Grid Computing platform in the world, through a partnership with Google & The World Community Grid (IBM) The Problem: Cancer. AIDS. Inefficient Solar Technology. Computing projects yielding breakthroughs in these areas take YEARS to complete. The potential is huge, but the community is tiny. There is a great lack of public awareness and as a result, simply not enough participants. The Solution: There are over 40 Million Android Device Activations every month. Integrate Grid Computing Capability into all Android devices. Upon device setup, the user will be asked whether they would like to donate their spare computing power to help fight aids, cancer and find better materials for clean energy. What is Grid Computing? Grid computing joins together many individual devices, creating a distributed system with massive computational power that far surpasses the power of a handful of supercomputers. Because the work is split into small pieces that can be processed simultaneously, research time is reduced from years to months. The technology is also more cost-effective, enabling better use of critical funds. (Source: WCG) Medical Animations Courtesy of POLYGON MEDICAL http://www.polygonmedical.com Intro: NASA http://earth.jsc.nasa.gov/Videos/CrewEarthObservationsVideos/ SONG: Battle School - Steve Jablonsky (Ender's Game) Moderat - Bad Kingdom (Siavash Crooked King Remix)

VIDEO BY: Serge Berig in Collaboration With Kris Kitchen Our Moonshot: Help END Cancer & AIDS. Find better materials for clean energy systems. We can make this happen by establishing Android as the largest Grid Computing platform in the world, through a partnership with Google & The World Community Grid (IBM) The Problem: Cancer. AIDS. Inefficient Solar Technology. Computing projects yielding breakthroughs in these areas take YEARS to complete. The potential is huge, but the community is tiny. There is a great lack of public awareness and as a result, simply not enough participants. The Solution: There are over 40 Million Android Device Activations every month. Integrate Grid Computing Capability into all Android devices. Upon device setup, the user will be asked whether they would like to donate their spare computing power to help fight aids, cancer and find better materials for clean energy. What is Grid Computing? Grid computing joins together many individual devices, creating a distributed system with massive computational power that far surpasses the power of a handful of supercomputers. Because the work is split into small pieces that can be processed simultaneously, research time is reduced from years to months. The technology is also more cost-effective, enabling better use of critical funds. (Source: WCG) Medical Animations Courtesy of POLYGON MEDICAL http://www.polygonmedical.com Intro: NASA http://earth.jsc.nasa.gov/Videos/CrewEarthObservationsVideos/ SONG: Battle School - Steve Jablonsky (Ender's Game) Moderat - Bad Kingdom (Siavash Crooked King Remix)

This image is part of a series that was created for an open textbook, Fundamentals of Business, 4e . The textbook will be available Fall 2022 at https://vtechworks.lib.vt.edu/. Preferred citation: Kindred Grey (2022). "How grid and cloud computing work."  Includes  https://thenounproject.com/icon/ipad-102497/ https://thenounproject.com/icon/server-14182/ https://thenounproject.com/icon/computer-1389450/ https://thenounproject.com/icon/laptop-1388614 / https://thenounproject.com/icon/iphone-13060 / https://thenounproject.com/icon/earth-387159 / https://thenounproject.com/icon/person-2817719 / .  CC BY 4.0 .   Other contributions to this image: https://thenounproject.com/icon/ipad-102497/ https://thenounproject.com/icon/server-14182/ https://thenounproject.com/icon/computer-1389450/ https://thenounproject.com/icon/laptop-1388614 / https://thenounproject.com/icon/iphone-13060 / https://thenounproject.com/icon/earth-387159 / https://thenounproject.com/icon/person-2817719 / Alternative text: In grid computing, a task is sent to a control server, then bounced back and forth between servers around the globe. With cloud computing, multiple devices, such as laptops, cell phones, networks, all connect to a single cloud source.

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Volcanology & seismology

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The paper deals with the employment of parallel computations for the solving of problems occurring during the mathematical modeling both of kinetics of the stressed-and-strained states and processes related to destru ction of principal structures or their elements. A technology for the solving of such problems within the net work of Ukrainian National Grid is proposed. Some results of testing of the proposed program tools are delivered. 

The Information Power Grid (IPG) concept developed by NASA is aimed to provide a metacomputing platform for large-scale distributed computations, by hiding the intricacies of highly heterogeneous environment and yet maintaining adequate security. In this paper, we propose a latency-tolerant partitioning scheme that dynamically balances processor workloads on the.IPG, and minimizes data movement and runtime communication. By simulating an unsteady adaptive mesh application on a wide area network, we study the performance of our load balancer under the Globus environment. The number of IPG nodes, the number of processors per node, and the interconnected speeds are parameterized to derive conditions under which the IPG would be suitable for parallel distributed processing of such applications. Experimental results demonstrate that effective solution are achieved when the IPG nodes are connected by a high-speed asynchronous interconnection network.

This article is from Systematic Biology , volume 63 . Abstract We introduce molecularevolution.org, a publicly available gateway for high-throughput, maximum-likelihood phylogenetic analysis powered by grid computing. The gateway features a garli 2.0 web service that enables a user to quickly and easily submit thousands of maximum likelihood tree searches or bootstrap searches that are executed in parallel on distributed computing resources. The garli web service allows one to easily specify partitioned substitution models using a graphical interface, and it performs sophisticated post-processing of phylogenetic results. Although the garli web service has been used by the research community for over three years, here we formally announce the availability of the service, describe its capabilities, highlight new features and recent improvements, and provide details about how the grid system efficiently delivers high-quality phylogenetic results. [garli, gateway, grid computing, maximum likelihood, molecular evolution portal, phylogenetics, web service.]

Grid computing is a newer way of processing information in a distributed manor. A lot of well known projects utilize this method of computing such as Seti@Home. This discussion will cover the technology behind grid computing and how it can be utilized to improve speed and availability. It will cover the Alchemi project and how to interface with this architecture. The talk will also include hands-on examples and exercises for interested attendees. Kn1ghtl0rd is a member of the Infonomicon Computer Club and has been working with clustering in his academic life. Along with the concepts of clustering, Kn1ghtl0rd has also helped to create a LiveCD clustering distribution called Clux with other members of the ICC. Kn1ghtl0rd is a Software Engineer by profession and is passionate about the home use of parallel computing.

Grid computing is a newer way of processing information in a distributed manor. A lot of well known projects utilize this method of computing such as Seti@Home. This discussion will cover the technology behind grid computing and how it can be utilized to improve speed and availability. It will cover the Alchemi project and how to interface with this architecture. The talk will also include hands-on examples and exercises for interested attendees. Kn1ghtl0rd is a member of the Infonomicon Computer Club and has been working with clustering in his academic life. Along with the concepts of clustering, Kn1ghtl0rd has also helped to create a LiveCD clustering distribution called Clux with other members of the ICC. Kn1ghtl0rd is a Software Engineer by profession and is passionate about the home use of parallel computing.

Grid computing is a newer way of processing information in a distributed manor. A lot of well known projects utilize this method of computing such as Seti@Home. This discussion will cover the technology behind grid computing and how it can be utilized to improve speed and availability. It will cover the Alchemi project and how to interface with this architecture. The talk will also include hands-on examples and exercises for interested attendees. Kn1ghtl0rd is a member of the Infonomicon Computer Club and has been working with clustering in his academic life. Along with the concepts of clustering, Kn1ghtl0rd has also helped to create a LiveCD clustering distribution called Clux with other members of the ICC. Kn1ghtl0rd is a Software Engineer by profession and is passionate about the home use of parallel computing.

The broad goal of our WSRF.NET project at the University of Virginia is to facilitate Grid computing on the .NET platform. In this talk, we give an update on our progress in exploiting and extending the .NET/Windows platform for Grid Computing – including our recent support for GridFTP on .NET, an OGSA-based Authorization Service based on Windows, and our alternative software stack for OGSA-based grids (based on WS-Transfer, WS-Eventing, etc.). The talk culminates with a live *demo* of how we have integrated this support for Grids on .NET/Windows with the Globus toolkit to form the basis for the UVa Campus Grid (UVaCG). ©2005 Microsoft Corporation. All rights reserved.

The broad goal of our WSRF.NET project at the University of Virginia is to facilitate Grid computing on the .NET platform. In this talk, we give an update on our progress in exploiting and extending the .NET/Windows platform for Grid Computing – including our recent support for GridFTP on .NET, an OGSA-based Authorization Service based on Windows, and our alternative software stack for OGSA-based grids (based on WS-Transfer, WS-Eventing, etc.). The talk culminates with a live *demo* of how we have integrated this support for Grids on .NET/Windows with the Globus toolkit to form the basis for the UVa Campus Grid (UVaCG). ©2005 Microsoft Corporation. All rights reserved.

The broad goal of our WSRF.NET project at the University of Virginia is to facilitate Grid computing on the .NET platform. In this talk, we give an update on our progress in exploiting and extending the .NET/Windows platform for Grid Computing – including our recent support for GridFTP on .NET, an OGSA-based Authorization Service based on Windows, and our alternative software stack for OGSA-based grids (based on WS-Transfer, WS-Eventing, etc.). The talk culminates with a live *demo* of how we have integrated this support for Grids on .NET/Windows with the Globus toolkit to form the basis for the UVa Campus Grid (UVaCG). ©2005 Microsoft Corporation. All rights reserved.

The broad goal of our WSRF.NET project at the University of Virginia is to facilitate Grid computing on the .NET platform. In this talk, we give an update on our progress in exploiting and extending the .NET/Windows platform for Grid Computing – including our recent support for GridFTP on .NET, an OGSA-based Authorization Service based on Windows, and our alternative software stack for OGSA-based grids (based on WS-Transfer, WS-Eventing, etc.). The talk culminates with a live *demo* of how we have integrated this support for Grids on .NET/Windows with the Globus toolkit to form the basis for the UVa Campus Grid (UVaCG). ©2005 Microsoft Corporation. All rights reserved.

The broad goal of our WSRF.NET project at the University of Virginia is to facilitate Grid computing on the .NET platform. In this talk, we give an update on our progress in exploiting and extending the .NET/Windows platform for Grid Computing – including our recent support for GridFTP on .NET, an OGSA-based Authorization Service based on Windows, and our alternative software stack for OGSA-based grids (based on WS-Transfer, WS-Eventing, etc.). The talk culminates with a live *demo* of how we have integrated this support for Grids on .NET/Windows with the Globus toolkit to form the basis for the UVa Campus Grid (UVaCG). ©2005 Microsoft Corporation. All rights reserved.

The broad goal of our WSRF.NET project at the University of Virginia is to facilitate Grid computing on the .NET platform. In this talk, we give an update on our progress in exploiting and extending the .NET/Windows platform for Grid Computing – including our recent support for GridFTP on .NET, an OGSA-based Authorization Service based on Windows, and our alternative software stack for OGSA-based grids (based on WS-Transfer, WS-Eventing, etc.). The talk culminates with a live *demo* of how we have integrated this support for Grids on .NET/Windows with the Globus toolkit to form the basis for the UVa Campus Grid (UVaCG). ©2005 Microsoft Corporation. All rights reserved.

The broad goal of our WSRF.NET project at the University of Virginia is to facilitate Grid computing on the .NET platform. In this talk, we give an update on our progress in exploiting and extending the .NET/Windows platform for Grid Computing – including our recent support for GridFTP on .NET, an OGSA-based Authorization Service based on Windows, and our alternative software stack for OGSA-based grids (based on WS-Transfer, WS-Eventing, etc.). The talk culminates with a live *demo* of how we have integrated this support for Grids on .NET/Windows with the Globus toolkit to form the basis for the UVa Campus Grid (UVaCG). ©2005 Microsoft Corporation. All rights reserved.

The broad goal of our WSRF.NET project at the University of Virginia is to facilitate Grid computing on the .NET platform. In this talk, we give an update on our progress in exploiting and extending the .NET/Windows platform for Grid Computing – including our recent support for GridFTP on .NET, an OGSA-based Authorization Service based on Windows, and our alternative software stack for OGSA-based grids (based on WS-Transfer, WS-Eventing, etc.). The talk culminates with a live *demo* of how we have integrated this support for Grids on .NET/Windows with the Globus toolkit to form the basis for the UVa Campus Grid (UVaCG). ©2005 Microsoft Corporation. All rights reserved.

The broad goal of our WSRF.NET project at the University of Virginia is to facilitate Grid computing on the .NET platform. In this talk, we give an update on our progress in exploiting and extending the .NET/Windows platform for Grid Computing – including our recent support for GridFTP on .NET, an OGSA-based Authorization Service based on Windows, and our alternative software stack for OGSA-based grids (based on WS-Transfer, WS-Eventing, etc.). The talk culminates with a live *demo* of how we have integrated this support for Grids on .NET/Windows with the Globus toolkit to form the basis for the UVa Campus Grid (UVaCG). ©2005 Microsoft Corporation. All rights reserved.

The broad goal of our WSRF.NET project at the University of Virginia is to facilitate Grid computing on the .NET platform. In this talk, we give an update on our progress in exploiting and extending the .NET/Windows platform for Grid Computing – including our recent support for GridFTP on .NET, an OGSA-based Authorization Service based on Windows, and our alternative software stack for OGSA-based grids (based on WS-Transfer, WS-Eventing, etc.). The talk culminates with a live *demo* of how we have integrated this support for Grids on .NET/Windows with the Globus toolkit to form the basis for the UVa Campus Grid (UVaCG). ©2005 Microsoft Corporation. All rights reserved.

Last month, volunteers donated 16,775 years of computing time and returned 45,036,169 research results to humanitarian research. Thank you to a great global community! https://t.co/nnWh4OQWyY Source: https://twitter.com/WCGrid/status/1145770413810769921 Uploader: World Community Grid

Last month, volunteers donated 16,775 years of computing time and returned 45,036,169 research results to humanitarian research. Thank you to a great global community! https://t.co/nnWh4OQWyY Source: https://twitter.com/WCGrid/status/1145770413810769921 Uploader: World Community Grid

Last month, volunteers donated 16,775 years of computing time and returned 45,036,169 research results to humanitarian research. Thank you to a great global community! https://t.co/nnWh4OQWyY Source: https://twitter.com/WCGrid/status/1145770413810769921 Uploader: World Community Grid

Last month, volunteers donated 16,775 years of computing time and returned 45,036,169 research results to humanitarian research. Thank you to a great global community! https://t.co/nnWh4OQWyY Source: https://twitter.com/WCGrid/status/1145770413810769921 Uploader: World Community Grid

Two different grid methodologies are studied for application to DSMC simulations about reusable launch vehicles. One method uses an unstructured, tetrahedral grid while the other uses a structured, variable-resolution Cartesian grid. The relative merits of each method are discussed in terms of accuracy, computational efficiency, and overall ease of use. Both methods are applied to the computation of a low-density, hypersonic flow about a winged single-stage-to-orbit reusable launch vehicle concept at conditions corresponding to an altitude of 120 km. Both methods are shown to give comparable results for both surface and flowfield quantities as well as for the overall aerodynamic behavior. For the conditions simulated, the flowfield about the vehicle is very rarefied but the DSMC simulations show significant departure from free-molecular predictions for the surface friction and heat transfer as well as certain aerodynamic quantities.

Volunteers, in May you donated 19,411 years of computing time and returned 53,926,495 research tasks to scientists studying AIDS, cancer, tuberculosis, Zika, and the human microbiome. Thank you! https://t.co/kOZ5N58XYK Source: https://twitter.com/WCGrid/status/1135990862054342656 Uploader: World Community Grid

The collective power 💪 of volunteer computing is accelerating research on the human microbiome! Are you in? https://t.co/RuWpnUhllS https://t.co/D1nzBGPEeA Source: https://twitter.com/WCGrid/status/1186738764888117248 Uploader: World Community Grid

The collective power 💪 of volunteer computing is accelerating research on the human microbiome! Are you in? https://t.co/RuWpnUhllS https://t.co/D1nzBGPEeA Source: https://twitter.com/WCGrid/status/1186738764888117248 Uploader: World Community Grid

Two different grid methodologies are studied for application to DSMC simulations about reusable launch vehicles. One method uses an unstructured, tetrahedral grid while the other uses a structured, variable-resolution Cartesian grid. The relative merits of each method are discussed in terms of accuracy, computational efficiency, and overall ease of use. Both methods are applied to the computation of a low-density, hypersonic flow about a winged single-stage-to-orbit reusable launch vehicle concept at conditions corresponding to an altitude of 120 km. Both methods are shown to give comparable results for both surface and flowfield quantities as well as for the overall aerodynamic behavior. For the conditions simulated, the flowfield about the vehicle is very rarefied but the DSMC simulations show significant departure from free-molecular predictions for the surface friction and heat transfer as well as certain aerodynamic quantities.

This book addresses the increasing demand to guarantee privacy, integrity, and availability of resources in networks and distributed systems. It first reviews security issues and challenges in content distribution networks, describes key agreement protocols based on the Diffie-Hellman key exchange and key management protocols for complex distributed systems like the Internet, and discusses securing design patterns for distributed systems. The next section focuses on security in mobile computing and wireless networks. After a section on grid computing security, the book presents an overview of security solutions for pervasive healthcare systems and surveys wireless sensor network security.

Despite recent dramatic advances in computer security regarding the proliferation of services and applications, security threats are still major impediments in the deployment of these services. Paying serious attention to these issues, Security in Distributed, Grid, Mobile, and Pervasive Computing focuses on the increasing demand to guarantee privacy, integrity, and availability of resources in networks and distributed systems. A rich and useful presentation of strategies for security issues, the book covers each computing area in separate sections. It first reviews security issues and challenges in content distribution networks, describes key agreement protocols based on the Diffie-Hellman key exchange and key management protocols for complex distributed systems like the Internet, and discusses securing design patterns for distributed systems. The next section focuses on security in mobile computing and wireless networks, covering wireless authentication methods, secure data aggregation, and anonymous routing protocol. After a section on grid computing security, the book presents an overview of security solutions for pervasive healthcare systems and surveys wireless sensor network security. With more and more vital information stored on computers, security professionals need to know how to combat threats and complications. Offering strategies to tackle these issues, this book provides essential security information for researchers, practitioners, educators, and graduate students in the field.

Despite recent dramatic advances in computer security regarding the proliferation of services and applications, security threats are still major impediments in the deployment of these services. Paying serious attention to these issues, Security in Distributed, Grid, Mobile, and Pervasive Computing focuses on the increasing demand to guarantee privacy, integrity, and availability of resources in networks and distributed systems. A rich and useful presentation of strategies for security issues, the book covers each computing area in separate sections. It first reviews security issues and challenges in content distribution networks, describes key agreement protocols based on the Diffie-Hellman key exchange and key management protocols for complex distributed systems like the Internet, and discusses securing design patterns for distributed systems. The next section focuses on security in mobile computing and wireless networks, covering wireless authentication methods, secure data aggregation, and anonymous routing protocol. After a section on grid computing security, the book presents an overview of security solutions for pervasive healthcare systems and surveys wireless sensor network security. With more and more vital information stored on computers, security professionals need to know how to combat threats and complications. Offering strategies to tackle these issues, this book provides essential security information for researchers, practitioners, educators, and graduate students in the field.

Have you thought about using the internet as your source of software packages? For instance, nowadays, you can simply use google doc to share word documents. If you donât have Microsoft word on your computer, the google doc gives you an opportunity to type and produce your document, then email it and share it with others. How about other software packages? Can we have all we need online and get rid of software installation? Can we just connect to the internet and use Matlab, Minitab and so many other graphical packages such as paint, Photoshop. Letâs listen to Mohsen Amini who is going to tell us more about such projects which are being done in Melbourne Uni to help provide such network and solve the technical problems. He is working on grid computing. You have no clue what it is? So letâs listen to him.

Volunteers, in November you donated 16,000 years of computing time 🖥️ and completed 41,860,974 research simulations 🧪🦠🔬 for scientists who need massive computing power for their work. Thank you! https://t.co/XaHEjPRE6H https://t.co/KlY1GKOBRi Source: https://twitter.com/WCGrid/status/1201606906554519554 Uploader: World Community Grid

The broad goal of our WSRF.NET project at the University of Virginia is to facilitate Grid computing on the .NET platform. In this talk, we give an update on our progress in exploiting and extending the .NET/Windows platform for Grid Computing – including our recent support for GridFTP on .NET, an OGSA-based Authorization Service based on Windows, and our alternative software stack for OGSA-based grids (based on WS-Transfer, WS-Eventing, etc.). The talk culminates with a live *demo* of how we have integrated this support for Grids on .NET/Windows with the Globus toolkit to form the basis for the UVa Campus Grid (UVaCG). ©2005 Microsoft Corporation. All rights reserved.

The broad goal of our WSRF.NET project at the University of Virginia is to facilitate Grid computing on the .NET platform. In this talk, we give an update on our progress in exploiting and extending the .NET/Windows platform for Grid Computing – including our recent support for GridFTP on .NET, an OGSA-based Authorization Service based on Windows, and our alternative software stack for OGSA-based grids (based on WS-Transfer, WS-Eventing, etc.). The talk culminates with a live *demo* of how we have integrated this support for Grids on .NET/Windows with the Globus toolkit to form the basis for the UVa Campus Grid (UVaCG). ©2005 Microsoft Corporation. All rights reserved.

The broad goal of our WSRF.NET project at the University of Virginia is to facilitate Grid computing on the .NET platform. In this talk, we give an update on our progress in exploiting and extending the .NET/Windows platform for Grid Computing – including our recent support for GridFTP on .NET, an OGSA-based Authorization Service based on Windows, and our alternative software stack for OGSA-based grids (based on WS-Transfer, WS-Eventing, etc.). The talk culminates with a live *demo* of how we have integrated this support for Grids on .NET/Windows with the Globus toolkit to form the basis for the UVa Campus Grid (UVaCG). ©2005 Microsoft Corporation. All rights reserved.

The concept of grid computing -- back-room computational resources that are as accessible and available as the electric grid -- has gained momentum recently. Numerous Grid computing projects such as NetSolve and Legion have provided infrastructure to enable the launching and monitoring of mostly parameter sweep applications. These Grid computing projects demand that users endure a steep learning curve to program and use the system. Also, these systems draw a strong distinction between the users' computers and the grid computing resources: users' work is done on their own computers, while grid jobs are executed on grid resources. A computational power grid should have characteristics similar to the electric power grids: always available, ubiquitous throughout the organization, and easy to use. The goal of the MIT Lincoln Laboratory Grid (LLgrid) project is to develop an On-Demand Grid Computing capability to address these characteristics and use MATLAB -- the dominant programming language for implementing numerical computations, widely used for algorithm development, simulation, data reduction, testing, and system evaluation -- as its initial target application. MIT Lincoln Laboratory has over one thousand MATLAB users; nearly two hundred users run very long jobs that could benefit from parallel processing. The LLgrid project has developed three technologies that allow these users to run parallel MATLAB jobs transparently on the LLgrid computational resources: MatlabMPI for point-to-point messaging; pMatlab for global array semantics (similar to High Performance Fortran); and gridMatlab for integrating users' computers into the LLgrid and automatically allocating grid computing resources.

Internet of Things (IoT)-based smart city grids have the potential to revolutionize urban infrastructure management by enabling real-time monitoring and efficient resource allocation. However, challenges such as high latency, data overload, and the need for instantaneous decision-making hinder their effectiveness. This paper presents a framework for optimizing smart city grids using AI and edge computing. Artificial Intelligence (AI) enables advanced analytics and predictive maintenance, while edge computing allows data processing to occur closer to IoT devices, minimizing latency and reducing the load on central servers. The proposed approach integrates these technologies to optimize power distribution, traffic management, and environmental monitoring, leading to enhanced efficiency and reliability of city services. The results demonstrate improved resource management and quicker response times, showcasing the benefits of this approach for future smart city implementations. These findings underscore the importance of integrating AI and edge computing into IoT systems for more resilient and adaptive urban environments .

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[Ganga](https://cern.ch/ganga) is a tool, designed and used by the large particle physics experiments at CERN. Written in pure Python, it delivers a clean, usable interface to allow thousands of physicists to interact with the huge computing resources available to them. It provides a single platform with which data analysis tasks can be run on anything from a local machine to being distributed seamlessly to computing centres around the world. The talk will cover the problems faced by physicists when dealing with the computer infrastructure and how Ganga helps to solve this problem. It will focus on how Python has helped create such a tool through its advanced features such as metaclasses and integration into IPython.