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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

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 rev...

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Bibliographic Details
Other Authors: Amaral, José Nelson (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2008, 2008
Edition:1st ed. 2008
Series:Theoretical Computer Science and General Issues
Subjects:
Computer Communication Networks
Artificial Intelligence / Data Processing
Compilers (computer Programs)
Compilers And Interpreters
Models Of Computation
Programming Techniques
Computer Science
Computer Programming
Artificial Intelligence
Computer Networks 
Data Science
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • 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

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