"Languages and Compilers for Parallel Computing" - Information and Links:

Languages and Compilers for Parallel Computing - Info and Reading Options

12th International Workshop, LCPC'99 La Jolla, CA, USA, August 4-6, 1999 Proceedings (Lecture Notes in Computer Science)

Book's cover
The cover of “Languages and Compilers for Parallel Computing” - Open Library.

"Languages and Compilers for Parallel Computing" is published by Springer in September 6, 2000 - Berlin/Heidelberg, it has 500 pages and the language of the book is English.


“Languages and Compilers for Parallel Computing” Metadata:

  • Title: ➤  Languages and Compilers for Parallel Computing
  • Authors:
  • Language: English
  • Number of Pages: 500
  • Publisher: Springer
  • Publish Date:
  • Publish Location: Berlin/Heidelberg

“Languages and Compilers for Parallel Computing” Subjects and Themes:

Edition Specifications:

  • Format: Paperback
  • Weight: 1.4 pounds
  • Dimensions: 9.2 x 6.1 x 1 inches

Edition Identifiers:

AI-generated Review of “Languages and Compilers for Parallel Computing”:


Snippets and Summary:

Despite the advantages of Java(TM)1 as a simple, object oriented programming language, it has not been widely adopted within the technical computing community.

"Languages and Compilers for Parallel Computing" Description:

The Open Library:

Languages and Compilers for Parallel Computing: 12th International Workshop, LCPC’99 La Jolla, CA, USA, August 4–6, 1999 Proceedings<br />Author: Larry Carter, Jeanne Ferrante<br /> Published by Springer Berlin Heidelberg<br /> ISBN: 978-3-540-67858-8<br /> DOI: 10.1007/3-540-44905-1<br /><br />Table of Contents:<p></p><ul><li>High Performance Numerical Computing in Java: Language and Compiler Issues </li><li>Instruction Scheduling in the Presence of Java’s Runtime Exceptions </li><li>Dependence Analysis for Java </li><li>Comprehensive Redundant Load Elimination for the IA-64 Architecture </li><li>Minimum Register Instruction Scheduling: A New Approach for Dynamic Instruction Issue Processors </li><li>Unroll-Based Copy Elimination for Enhanced Pipeline Scheduling </li><li>A Linear Algebra Formulation for Optimising Replication in Data Parallel Programs </li><li>Accurate Data and Context Management in Message-Passing Programs </li><li>An Automatic Iteration/Data Distribution Method Based on Access Descriptors for DSMM </li><li>Inter-array Data Regrouping </li><li>Iteration Space Slicing for Locality </li><li>A Compiler Framework for Tiling Imperfectly-Nested Loops </li><li>Parallel Programming with Interacting Processes </li><li>Application of the Polytope Model to Functional Programs </li><li>Multilingual Debugging Support for Data-Driven and Thread-Based Parallel Languages </li><li>An Analytical Comparison of the I-Test and Omega Test </li><li>The Access Region Test </li><li>A Precise Fixpoint Reaching Definition Analysis for Arrays </li><li>Demand-Driven Interprocedural Array Property Analysis </li><li>Language Support for Pipelining Wavefront Computations</li></ul>

Open Data:

Lecture Notes in Computer Science -- Languages and Compilers for Parallel Computing -- Copyright -- Preface -- Organization -- Table of Contents -- High Performance Numerical Computing in Java: Language and Compiler Issues -- Instruction Scheduling in the Presence of Java's Runtime Exceptions -- Dependence Analysis for Java -- Comprehensive Redundant Load Elimination for the IA-64 Architecture -- Minimum Register Instruction Scheduling: A New Approach for Dynamic Instruction Issue Processors ★ -- Unroll-Based Copy Elimination for Enhanced Pipeline Scheduling -- A Linear Algebra Formulation for Optimising Replication in Data Parallel Programs -- Accurate Data and Context Management in Message-Passing Programs ★ -- An Automatic Iteration/Data Distribution Method Based on Access Descriptors for DSMM★ -- Inter-array Data Regrouping -- Iteration Space Slicing for Locality -- A Compiler Framework for Tiling Imperfectly-Nested Loops ★ -- Parallel Programming with Interacting Processes -- Application of the Polytope Model to Functional Programs -- Multilingual Debugging Support for Data-Driven and Thread-Based Parallel Languages -- An Analytical Comparison of the I-Test and Omega Test -- The Access Region Test ★ -- A Precise Fixpoint Reaching Definition Analysis for Arrays -- Demand-Driven Interprocedural Array Property Analysis★ -- Language Support for Pipelining Wavefront Computations★ -- The Data Mover: A Machine-Independent Abstraction for Managing Customized Data Motion -- Optimization of Memory Usage Requirement for a Class of Loops Implementing Multi-dimensional Integrals ★ -- Compile-Time Based Performance Prediction★ -- Designing the Agassiz Compiler for Concurrent Multithreaded Architectures -- The Scc Compiler: SWARing at MMX and 3DNow! -- Loop Shifting for Loop Compaction

Read “Languages and Compilers for Parallel Computing”:

Read “Languages and Compilers for Parallel Computing” by choosing from the options below.

Search for “Languages and Compilers for Parallel Computing” downloads:

Visit our Downloads Search page to see if downloads are available.

Find “Languages and Compilers for Parallel Computing” in Libraries Near You:

Read or borrow “Languages and Compilers for Parallel Computing” from your local library.

Buy “Languages and Compilers for Parallel Computing” online:

Shop for “Languages and Compilers for Parallel Computing” on popular online marketplaces.