Languages and compilers for parallel computing

Languages and compilers for parallel computing

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About
Languages and Compilers for Parallel Computing: 13th International Workshop, LCPC 2000 Yorktown Heights, NY, USA, August 10–12, 2000 Revised Papers
Author: Samuel P. Midkiff, José E. Moreira, Manish Gupta, Siddhartha Chatterjee, Jeanne Ferrante, Jan Prins, William Pugh, Chau-Wen Tseng
Published by Springer Berlin Heidelberg
ISBN: 978-3-540-42862-6
DOI: 10.1007/3-540-45574-4

Table of Contents:

  • Accurate Shape Analysis for Recursive Data Structures
  • Cost Hierarchies for Abstract Parallel Machines
  • Recursion Unrolling for Divide and Conquer Programs
  • An Empirical Study of Selective Optimization
  • MaJIC: A Matlab Just-In-Time Compiler
  • SmartApps: An Application Centric Approach to High Performance Computing
  • Extending Scalar Optimizations for Arrays
  • searching for the Best FFT Formulas with the SPL Compiler
  • On Materializations of Array-Valued Temporaries
  • Experimental Evaluation of Energy Behavior of Iteration Space Tiling
  • Improving Offset Assignment for Embedded Processors
  • Improving Locality for Adaptive Irregular Scientific Codes
  • Automatic Coarse Grain Task Parallel Processing on SMP Using OpenMP
  • Compiler Synthesis of Task Graphs for Parallel Program Performance Prediction
  • Optimizing the Use of High Performance Software Libraries
  • Compiler Techniques for Flat Neighborhood Networks
  • Exploiting Ownership Sets in HPF
  • A Performance Advisor Tool for Shared-Memory Parallel Programming
  • A Comparative Analysis of Dependence Testing Mechanisms
  • Safe Approximation of Data Dependencies in Pointer-Based Structures

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