Title: Languages and compilers for parallel computing
Description: 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>
Subjects: Parallel processing (Electronic computers), Programming languages (Electronic computers), Compilers (Computer programs), Congresses