OpenMP Shared Memory Parallel Programming (OpenMP 共享存储器并行程序设计)

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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.).

目录

Benchmarking  SPEComp: A New Benchmark Suite for Measuring Parallel Computer Performance Compiler Implementation and Optimization  Portable Compilers for OpenMP  The Omni OpenMP Compiler on the Distributed Shared Memory of Cenju-4 Some Simple OpenMP Optimization Techniques Tools and Tool Technology  An Integrated Performance Visualizer for MPI/OpenMP Programs  A Dynamic Tracing Mechanism for Performance Analysis of OpenMP Applications  A Comparison of Scalable Labeling Schemes for Detecting Races in OpenMP Programs  Debugging OpenMP Programs Using Event Manipulation OpenMP Experience  The Application of POSIX Threads and OpenMP to the U.S.NRC Neutron Kinetics Code PARCS Integrating OpenMP into Janus NUMA Machines and Clusters A Study of Implicit Data Distribution Methods for OpenMP Using the SPEC Benchmarks OmniRPC: A Grid RPC Facility for Cluster and Clobal Computing in OpenMP OpenMP Extensions Performance Oriented Programming for NUMA Architectures Defining and Supporting Pipelined Executions in OpenMP CableS: Thread Control and Memory System Extensions for Shared Virtual Memory Clusters Author Index

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