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Languages and Compilers for Parallel Computing : 21th International Workshop, LCPC 2008, Edmonton, Canada, July 31 - August 2, 2008, Revised Selected Papers
- Author / Creator
- Conferences
- Workshop on Languages and Compilers for Parallel Computing (21st : 2008 : Edmonton, Alta.)
- Workshop on Languages and Compilers for Parallel Computing
- Available as
- Online
- Summary
-
This book constitutes the thoroughly refereed post-conference proceedings of the 21th International Workshop on Languages and Compilers for Parallel Computing, LCPC 2008, held in Edmonton, Canada, ...
This book constitutes the thoroughly refereed post-conference proceedings of the 21th International Workshop on Languages and Compilers for Parallel Computing, LCPC 2008, held in Edmonton, Canada, in July/August 2008. The 18 revised full papers and 6 revised short papers presented were carefully reviewed and selected from 35 submissions. The papers address all aspects of languages, compiler techniques, run-time environments, and compiler-related performance evaluation for parallel and high-performance computing and comprise also presentations on program analysis that are precursors of high performance in parallel environments.
Details
- Creator
- edited by José Nelson Amaral
- Format
- Computer file; Books
- Language
- English
- Contributors
- Publication
-
- 1st ed. 2008
- Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008
- Physical Details
-
- 1 online resource (IX, 358 p.)
- ISBNs
- 9783540897392, 3540897399, 9783540897408, 3540897402
- OCLC
- ocn313368610
- International conference proceedings.
- Includes bibliographical references and author index.
- English
- CUDA-Lite: Reducing GPU Programming Complexity -- MCUDA: An Efficient Implementation of CUDA Kernels for Multi-core CPUs -- Automatic Pre-Fetch and Modulo Scheduling Transformations for the Cell BE Architecture -- Efficient Set Sharing Using ZBDDs -- Register Bank Assignment for Spatially Partitioned Processors -- Smashing: Folding Space to Tile through Time -- Identification of Heap–Carried Data Dependence Via Explicit Store Heap Models -- On the Scalability of an Automatically Parallelized Irregular Application -- Statistically Analyzing Execution Variance for Soft Real-Time Applications -- Minimum Lock Assignment: A Method for Exploiting Concurrency among Critical Sections -- Set-Congruence Dynamic Analysis for Thread-Level Speculation (TLS) -- Thread Safety through Partitions and Effect Agreements -- P-Ray: A Software Suite for Multi-core Architecture Characterization -- Scalable Implementation of Efficient Locality Approximation -- P-OPT: Program-Directed Optimal Cache Management -- Compiler-Driven Dependence Profiling to Guide Program Parallelization -- gluepy: A Simple Distributed Python Programming Framework for Complex Grid Environments -- A Fully Parallel LISP2 Compactor with Preservation of the Sliding Properties -- A Case Study in Tightly Coupled Multi-paradigm Parallel Programming -- ASYNC Loop Constructs for Relaxed Synchronization -- Design for Interoperability in stapl: pMatrices and Linear Algebra Algorithms -- Implementation of Sensitivity Analysis for Automatic Parallelization -- Just-In-Time Locality and Percolation for Optimizing Irregular Applications on a Manycore Architecture -- Exploring the Optimization Space of Dense Linear Algebra Kernels