Scalable software infrastructure project
Scalable software infrastructure project
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可扩展的软件基础设施项目
DOI：
10.1145/1188455.1188601
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发表时间：
2006
期刊：
影响因子：
--
通讯作者：
Akira Nukada
中科院分区：
文献类型：
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作者：
A. Nishida;Hisashi Kotakemori;Tamito Kajiyama;Akira Nukada
随着科学技术的进步，数值模拟已成为各个领域研究的重要手段。虽然大规模计算资源上的可扩展和高性能数值库是处理各种多尺度现象不可或缺的工具，但很少有项目报道这些数值库的集成。该项目的目标是开发大规模科学模拟所需的解决方案和算法的基本库，这些解决方案和算法已在每个领域单独开发，并将其集成到可扩展的软件基础设施中。这些组件包括一个可扩展的迭代求解器库Lis，具有许多可灵活组合的求解器，预处理器和矩阵存储格式，用于各种超标量架构的快速傅立叶变换库FFTSS，具有SIMD指令，性能优于一些供应商提供的FFT库，以及语言和计算环境独立的矩阵计算框架SILC。我们展示了我们在领先的高性能计算机上取得的一些成就。
Recent progress of science and technology has made numerical simulation an important approach for studies in various fields. Although scalable and high performance numerical libraries on large scale computing resources are indispensable tools for handling various multiscale phenomena, few projects for integrating these numerical libraries have been reported. The object of this project is the development of a basic library of solutions and algorithms required for large scale scientific simulations, which have been developed separately in each fields, and its integration into a scalable software infrastructure. The components include a scalable iterative solvers library Lis, having a number of solvers, preconditioners, and matrix storage formats that are flexibly combinable, a fast Fourier transform library FFTSS for various superscalar architectures with SIMD instructions, which outperforms some vendor-provided FFT libraries, and a language- and computing environment-independent matrix computation framework SILC. We show some highlights of our achievements on leading high performance computers.