A reconfigurable Monte-Carlo clustering processor (MCCP)

Proceedings of IEEE Workshop on FPGA's for Custom Computing Machines Pub Date : 1994-04-10 DOI:10.1109/FPGA.1994.315600

C. Cowen, S. Monaghan

引用次数: 27

Abstract

A generic Monte Carlo problem architecture, implemented earlier in a dedicated FPGA computer (Monaghan, O'Brien and Noakes, 1991; Monaghan, 1993; Monaghan and Cowen, 1993), is extended to incorporate a wider range of more complex Monte Carlo and percolation problems. The new algorithms, which are implemented in the same computer architecture, execute an order of magnitude faster than on comparable DSP hardware, as with the earlier and simpler algorithms.<>

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可重构蒙特卡罗聚类处理器(MCCP)

一个通用的蒙特卡罗问题架构，早先在专用的FPGA计算机上实现(Monaghan, O'Brien和Noakes, 1991;莫纳亨,1993;Monaghan和Cowen, 1993)，扩展到更广泛的更复杂的蒙特卡罗和渗透问题。新算法在相同的计算机架构中实现，与早期和更简单的算法相比，在类似的DSP硬件上执行速度要快一个数量级。

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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Proceedings of IEEE Workshop on FPGA's for Custom Computing Machines

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