Languages and Compilers for Parallel Computing: 15th Workshop, Lcpc 2002, College Park, MD, Usa, July 25-27, 2002, Revised Papers

ISBN-13: 9783540307815 / Angielski / Miękka / 2005 / 380 str.

B. Pugh; Bill Pugh

Opis

This book constitutes the thoroughly refereed post-proceedings of the 15th International Workshop on Languages and Compilers for Parallel Processing, LCPC 2002, held in College Park, MD, USA in July 2002.

The 26 revised full papers presented were carefully selected during two rounds of reviewing and improvement from 32 submissions. All current issues in parallel processing are addressed, in particular memory-constrained computation, compiler optimization, performance studies, high-level languages, programming language consistency models, dynamic parallelization, parallelization of data mining algorithms, parallelizing compilers, garbage collection algorithms, and evaluation of iterative compilation.

Spis treści

Memory-Constrained Communication Minimization for a Class of Array Computations.- Forward Communication Only Placements and Their Use for Parallel Program Construction.- Hierarchical Parallelism Control for Multigrain Parallel Processing.- Compiler Analysis and Supports for Leakage Power Reduction on Microprocessors.- Automatic Detection of Saturation and Clipping Idioms.- Compiler Optimizations with DSP-Specific Semantic Descriptions.- Combining Performance Aspects of Irregular Gauss-Seidel Via Sparse Tiling.- A Hybrid Strategy Based on Data Distribution and Migration for Optimizing Memory Locality.- Compiler Optimizations Using Data Compression to Decrease Address Reference Entropy.- Towards Compiler Optimization of Codes Based on Arrays of Pointers.- An Empirical Study on the Granularity of Pointer Analysis in C Programs.- Automatic Implementation of Programming Language Consistency Models.- Parallel Reductions: An Application of Adaptive Algorithm Selection.- Adaptively Increasing Performance and Scalability of Automatically Parallelized Programs.- Selector: A Language Construct for Developing Dynamic Applications.- Optimizing the Java Piped I/O Stream Library for Performance.- A Comparative Study of Stampede Garbage Collection Algorithms.- Compiler and Runtime Support for Shared Memory Parallelization of Data Mining Algorithms.- Performance Analysis of Symbolic Analysis Techniques for Parallelizing Compilers.- Efficient Manipulation of Disequalities During Dependence Analysis.- Removing Impediments to Loop Fusion Through Code Transformations.- Near-Optimal Padding for Removing Conflict Misses.- Fine-Grain Stacked Register Allocation for the Itanium Architecture.- Evaluating Iterative Compilation.