Performance Evaluation of Low Level Multithreaded BLAS Kernels on Intel Processor Based cc-NUMA Systems
Performance Evaluation of Low Level Multithreaded BLAS Kernels on Intel Processor Based cc-NUMA Systems
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DOI：
10.1007/978-3-540-39707-6_45
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发表时间：
2003-10
期刊：
影响因子：
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通讯作者：
A. Nishida;Y. Oyanagi
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文献类型：
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作者：
A. Nishida;Y. Oyanagi
计算线性代数中稀疏矩阵算法的BLAS库的并行实现是一个关键问题，特别是在有限存储带宽的共享存储器结构上。在这项研究中，我们使用低级别的多线程BLAS内核的CC-NUMA系统的性能进行评估。在两个基于Intel处理器的体系结构NEC TX 7/AzusA和IBM xSeries 440上对编译器和系统的性能进行了评估。
Parallel implementation of the BLAS library for sparse matrix algorithms in computational linear algebra is a critical problem, especially on the shared memory architectures with finite memory bandwidth. In this study, we evaluate the performance of the cc-NUMA systems using low level multithreaded BLAS kernels. The performance of both the compiler and the systems are evaluated on two Intel processor based architectures, NEC TX7/AzusA and IBM xSeries 440.