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内容提要:
The LNCS series reports state-of-the-art results in computer science research,development,and education,at a high level and in both printed and electronic form.Enjoying tight cooperation with the R&D community,with numerous individuals,as well as with prestigious organizations and societies,LNCS has grown into the most comprehensive computer science research forum available.
The scope of LNCS including its subseries LNAI spans the whole range of computer science and information technology including interdisciplinary topics in a variety of application fields.The type of material published traditionally includes. —proceedings (published in time for the respective conference) —post-proceedings (consisting of thoroughly revised final full papers) —research monographs(which may be based on outstanding PhD work,research projects,technical reports,etc.). 编辑推荐:
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This book constitutes the thoroughly refereed post-proceedings of the 13th International Workshop on Languages and Compilers for Parallel Computing, LCPC 2000, held in Yorktown Heights, NY, USA, in August 2000. The 22 revised full papers presented together with 5 posters were carefully selected during two rounds of reviewing and improvement. All current aspects of parallel processing are addressed with emphasis on issues in optimizing compilers, languages, and software environments in high-performance computing. 目录:
Presented Papers
Accurate Shape Analysis for Recursive Data Structures Cost Hierarchies for Abstract Parallel Machines Recursion Unrolling for Divide and Conquer Programs An Empirical Study of Selective Optimization MaJIC:A Matlab Just-In-time Compiler SmartApps:An Application Centric Approach to High Performance Computing Extending Scalar Optimizations for Arrays Searching for the Best FFT Formulas with the SPL Compiler On Materializations of Array-Valued Temporaries Experimental Evaluation of Energy Behavior of Iteration Space Tiling Improving Offset Assignment for Embedded Processors Improving Loceality for Adaptive Irregular Scientific Codes Automatic Coarse Grain Task Parallel Processing on SMP Using OpenMP Compiler Synthesis of Task Graphs for Parallel Program Performance Prediction Optimizing the Use of High Performance Software Libraries Compiler Techniques for Flat Neighborhood Networks Exploiting Ownership Sets in HPF A Performance Advisor Tool for Shared-Memory Parallel Programming A Comparative Analysis of Dependence Testing Mechanisms Safe Approximation of Data Dependencies in Pointer-Based Structures OpenMP Extensions for Thread Groups and Their Run-Time Support Compilling Data Intensive Applications with Spatial Coordinates Posters Author Index |