Languages and Compilers for Parallel Computing : 15th Workshop, LCPC 2002, College Park, MD, USA, July 25-27, 2002, Revised Papers / edited by Bill Pugh, Chau-Wen Tseng.

Format:

Book

Contributor:

Pugh, William, 1960- editor.

Tseng, Chau-Wen, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

LNCS sublibrary. Theoretical computer science and general issues ; SL 1, 2481.

Theoretical Computer Science and General Issues ; 2481

Language:

English

Subjects (All):

Programming languages (Electronic computers).

Computer programming.

Computers.

Computer networks.

Computer arithmetic and logic units.

Data structures (Computer science).

Programming Languages, Compilers, Interpreters.

Programming Techniques.

Computation by Abstract Devices.

Computer Communication Networks.

Arithmetic and Logic Structures.

Data Structures.

Local Subjects:

Programming Languages, Compilers, Interpreters.

Programming Techniques.

Computation by Abstract Devices.

Computer Communication Networks.

Arithmetic and Logic Structures.

Data Structures.

Physical Description:

1 online resource (XII, 380 pages).

Edition:

First edition 2005.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2005.

System Details:

text file PDF

Summary:

The 15th Workshop on Languages and Compilers for Parallel Computing was held in July 2002 at the University of Maryland, College Park. It was jointly sponsored by the Department of Computer Science at the University of Ma- land and the University of Maryland Institute for Advanced Computer Studies (UMIACS).LCPC2002broughttogetherover60researchersfromacademiaand research institutions from many countries. The program of 26 papers was selected from 32 submissions. Each paper was reviewed by at least three Program Committee members and sometimes by additional reviewers. Prior to the workshop, revised versions of accepted papers were informally published on the workshop's website and in a paper proceedings that was distributed at the meeting. This year, the workshopwas organizedinto sessions of papers on related topics, and each session consisted of two to three 30-minute presentations.Based on feedback from the workshop,the papers were revised and submitted for inclusion in the formal proceedings published in this volume. Two papers were presented at the workshop but later withdrawn from the ?nal proceedings by their authors. We were very lucky to have Bill Carlson from the Department of Defense give the LCPC 2002 keynote speech on "UPC: A C Language for Shared M- ory Parallel Programming." Bill gave an excellent overview of the features and programming model of the UPC parallel programming language.

Contents:

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.

Other Format:

Printed edition:

ISBN:

978-3-540-31612-1

9783540316121

Access Restriction:

Restricted for use by site license.