星桥超级计算机上LU分解的内存支持设计

Seth Young, A. Sudarsanam, A. Dasu, T. Hauser
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引用次数: 5

摘要

LU矩阵分解是一种线性代数算法,用于降低求解大型线性方程组所需的复杂性。在物理、工程和计算化学中,经常需要求解大型方程组。在这种逻辑单元算法的硬件实现中,必须包含处理磁盘和处理节点之间的内存传输的支持模块。本文研究了支持在多fpga系统上实现基于块的LU算法的数据传输硬件。初步结果显示了这些设计所需的面积和延迟
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Memory support design for LU decomposition on the starbridge hyper-computer
LU matrix decomposition is a linear algebra algorithm used to reduce the complexity required to solve a large system of linear equations. Large systems of equations frequently need to be solved in physics, engineering, and computational chemistry. In the hardware implementation of such LU algorithms supporting modules must be included which handle the transfer of memory between the disk and processing nodes. This paper looks at the data transfer hardware which supports an implementation of a block-based LU algorithm on a multi-FPGA system. Preliminary results are provided which show the required areas and latencies of these designs
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