Languages and Compilers for Parallel Computing

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Languages and Compilers for Parallel Computing: 13th International Workshop, LCPC 2000 Yorktown Heights, NY, USA, August 10–12, 2000 Revised Papers<br />Author: Samuel P. Midkiff, José E. Moreira, Manish Gupta, Siddhartha Chatterjee, Jeanne Ferrante, Jan Prins, William Pugh, Chau-Wen Tseng<br /> Published by Springer Berlin Heidelberg<br /> ISBN: 978-3-540-42862-6<br /> DOI: 10.1007/3-540-45574-4<br /><br />Table of Contents:<p></p><ul><li>Accurate Shape Analysis for Recursive Data Structures </li><li>Cost Hierarchies for Abstract Parallel Machines </li><li>Recursion Unrolling for Divide and Conquer Programs </li><li>An Empirical Study of Selective Optimization </li><li>MaJIC: A Matlab Just-In-Time Compiler </li><li>SmartApps: An Application Centric Approach to High Performance Computing </li><li>Extending Scalar Optimizations for Arrays </li><li>searching for the Best FFT Formulas with the SPL Compiler </li><li>On Materializations of Array-Valued Temporaries </li><li>Experimental Evaluation of Energy Behavior of Iteration Space Tiling </li><li>Improving Offset Assignment for Embedded Processors </li><li>Improving Locality for Adaptive Irregular Scientific Codes </li><li>Automatic Coarse Grain Task Parallel Processing on SMP Using OpenMP </li><li>Compiler Synthesis of Task Graphs for Parallel Program Performance Prediction </li><li>Optimizing the Use of High Performance Software Libraries </li><li>Compiler Techniques for Flat Neighborhood Networks </li><li>Exploiting Ownership Sets in HPF </li><li>A Performance Advisor Tool for Shared-Memory Parallel Programming </li><li>A Comparative Analysis of Dependence Testing Mechanisms </li><li>Safe Approximation of Data Dependencies in Pointer-Based Structures</li></ul>

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