奇怪的记忆系统可能相当有趣

André Seznec, J. Lenfant
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引用次数: 15

摘要

在矢量处理器上使用素数N的内存库允许对以非N的倍数存储的矢量的N个连续元素的任何切片进行无冲突访问。一般来说,这种存储系统的地址计算需要系统的欧几里得除法n。我们首先表明,众所周知的中国余数定理允许定义一个非常简单的数据映射到存储库,其中地址计算不需要任何欧几里得除法。大规模并行SIMD计算机可能有数千个处理器。当这种机器上的内存是全局共享的,从内存到处理器的路由向量是一个主要的困难;互连网络的控制一般不能在执行时计算。当存储库和处理器的数量是素数的乘积时,通过互连网络将内存向量路由到处理器所需的排列族具有非常特殊的属性。本文提出的中文剩余网络能够在一条路径上执行所有这些排列,并且可以自路由。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Odd Memory Systems May Be Quite Interesting
Using a prime number of N of memory banks on a vector processor allows a conflict-free access for any slice of N consecutive elements of a vector stored with a stride not multiple of N. To reject the use of a prime (or odd) number N of memory banks, it is generally advanced that address computation for such a memory system would require systematic Euclidean Division by the number N. We first show that the well known Chinese Remainder Theorem allows to define a very simple mapping of data onto the memory banks for which address computation does not require any Euclidean Division. Massively parallel SIMD computers may have several thousands of processors. When the memory on such a machine is globally shared, routing vectors from memory to the processors is a major difficulty; the control for the interconnection network cannot be generally computed at execution time. When the number of memory banks and processors is a product of prime numbers, the family of permutations needed for routing vectors for memory to the processors through the interconnection network have very specific properties. The Chinese Remainder Network presented in the paper is able to execute all these permutations in a single path and may be self-routed.
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