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Titlebook: Shared Memory Parallel Programming with Open MP; 5th International Wo Barbara M. Chapman Conference proceedings 2005 Springer-Verlag Berlin

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11#
發(fā)表于 2025-3-23 09:43:19 | 只看該作者
12#
發(fā)表于 2025-3-23 14:24:29 | 只看該作者
,The ParaWise Expert Assistant – Widening Accessibility to Efficient and Scalable Tool Generated Opeapplication code. In this paper, we demonstrate that knowledge of dependence information and OpenMP are no longer essential to produce efficient parallel code with the Expert Assistant. It is hoped that this will enable a far wider audience to use the tools and subsequently, exploit the benefits of large parallel systems.
13#
發(fā)表于 2025-3-23 20:01:22 | 只看該作者
14#
發(fā)表于 2025-3-24 01:24:59 | 只看該作者
Parallelization of General Matrix Multiply Routines Using OpenMP,routine called from within GAMESS [1] during the execution of the coupled-cluster module for calculating physical properties of molecules. Results are reported using the ATLAS library and the Intel MKL on an Intel machine, and using the ESSL and the ATLAS library on an IBM SP.
15#
發(fā)表于 2025-3-24 06:05:24 | 只看該作者
Performance Analysis of Hybrid OpenMP/MPI N-Body Application,ology for the inner shared memory parallelism, allows to yield a hierarchically distributed-shared memory implementation of an algorithm presenting multiple levels of parallelism. The chosen application solves the well known N-body problem.
16#
發(fā)表于 2025-3-24 10:25:20 | 只看該作者
Performance and Scalability of OpenMP Programs on the Sun FireTM E25K Throughput Computing Server, 72 UltraSPARC? IV processors with Chip MultiThreading (CMT) technology, and execute up to 144 threads simultaneously. The Sun Studio. 9 software includes compilers and tools that provide support for the C, C++, and Fortran OpenMP Version 2.0 specifications, and that fully exploit the capabilities o
17#
發(fā)表于 2025-3-24 11:59:39 | 只看該作者
What Multilevel Parallel Programs Do When You Are Not Watching: A Performance Analysis Case Study Cigms applicable to shared memory computer architectures. We describe how detailed analysis techniques help to differentiate between the influences of the programming model itself and other factors, such as implementation specific behavior of the operating system or architectural issues.
18#
發(fā)表于 2025-3-24 18:49:49 | 只看該作者
SIMT/OMP: A Toolset to Study and Exploit Memory Locality of OpenMP Applications on NUMA Architecturently also found its way to parallel architectures with distributed shared memory like NUMA machines. This combines the advantages of OpenMP’s easy-to-use programming model with the scalability and cost-effectiveness of NUMA architectures..In NUMA (Non Uniform Memory Access) environments, however, O
19#
發(fā)表于 2025-3-24 21:39:52 | 只看該作者
Dragon: A Static and Dynamic Tool for OpenMP,is tool based on the Open64 compiler, an open source OpenMP, C/C++/Fortran77/90 compiler for Intel Itanium systems. We developed the Dragon tool on top of Open64 to exploit its powerful analyses in order to provide static as well as dynamic (feedback-based) information which can be used to develop o
20#
發(fā)表于 2025-3-25 00:31:42 | 只看該作者
,The ParaWise Expert Assistant – Widening Accessibility to Efficient and Scalable Tool Generated Opecapabilities of the ParaWise/CAPO tools, experience shows that a level of expertise is required to produce efficient parallel code. In a real world application the investigation of a single loop in a generated parallel code can soon become an in-depth inspection of numerous dependencies in many rout
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