Hardware Acceleration of Matrix Multiplication on a Xilinx FPGA

Nirav H. Dave, Kermin Fleming, Myron King, Michael Pellauer, M. Vijayaraghavan
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引用次数: 50

Abstract

The first MEMOCODE hardware/software co-design contest posed the following problem: optimize matrix-matrix multiplication in such a way that it is split between the FPGA and PowerPC on a Xilinx Virtex IIPro30. In this paper we discuss our solution, which we implemented on a Xilinx XUP development board with 256 MB of DRAM. The design was done by the five authors over a span of approximately 3 weeks, though of the 15 possible man-weeks, about 9 were actually spent working on this problem. All hardware design was done using Blue-spec SystemVerilog (BSV), with the exception of an imported Verilog multiplication unit, necessary only due to the limitations of the Xilinx FPGA toolflow optimizations.
基于Xilinx FPGA的矩阵乘法硬件加速
第一次MEMOCODE硬件/软件协同设计竞赛提出了以下问题:优化矩阵-矩阵乘法,使其在Xilinx Virtex IIPro30上的FPGA和PowerPC之间分离。在本文中,我们讨论了我们的解决方案,我们实现了Xilinx XUP开发板与256 MB的DRAM。该设计是由五位作者在大约3周的时间内完成的,尽管在15个可能的人力周中,大约有9个实际上花在了这个问题上。所有硬件设计都是使用Blue-spec SystemVerilog (BSV)完成的,除了一个导入的Verilog乘法单元,这只是由于Xilinx FPGA工具流优化的限制而必需的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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