Using floating-point arithmetic on FPGAs to accelerate scientific N-Body simulations

G. Lienhart, A. Kugel, R. Männer
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引用次数: 99

Abstract

This paper investigates the usage of floating-point arithmetic on FPGAs for N-Body simulation in natural science. The common aspect of these applications is the simple computing structure where forces between a particle and its surrounding particles are summed up. The role of reduced precision arithmetic is discussed, and our implementation of a floating-point arithmetic library with parameterized operators is presented. On the base of this library, implementation strategies of complex arithmetic units are discussed. Finally the realization of a fully pipelined pressure force calculation unit consisting of 60 floating-point operators with a resulting performance of 3.9 Gflops on an off the shelf FPGA is presented.
在fpga上使用浮点运算加速科学n体仿真
本文研究了浮点算法在fpga上的应用,用于自然科学中的n体仿真。这些应用的共同方面是简单的计算结构,其中一个粒子和它周围的粒子之间的力被总结。讨论了降精度算法的作用,并给出了一个带参数化运算符的浮点运算库的实现。在此基础上,讨论了复杂算术单元的实现策略。最后在现成的FPGA上实现了一个由60个浮点运算符组成的全流水线压力计算单元,其性能为3.9 gflop。
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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