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Interleaved Parallel Schemes: improving memory throughput on supercomputers

机译:交错并行方案:提高超级计算机上的内存吞吐量

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On many commercial supercomputers, several vector register processors share a global highly interleaved memory in a MIMD mode. When all the processors are working on a single vector loop, a significant part of the potential memory throughput may be wasted due to the asynchronism of the processors. In order to limit this loss of memory throughput, a SIMD synchronization mode for vector accesses to memory may be used. But an important part of the memory bandwidth may be wasted when accessing vectors with an even stride. In this paper, we present IPS, a interleaved parallel scheme, which ensures an equitable distribution of elements on a highly interleaved memory for a wide range a vector strides. We show how to organize access to memory, such that unscrambling of vectors from memory to the vector register processors requires a minimum number of passes through the interconnection network.
机译:在许多商业超级计算机上,几个向量寄存器处理器以MIMD模式共享全局高度交错的内存。当所有处理器都在单个向量循环上工作时,由于处理器的异步,可能会浪费潜在内存吞吐量的很大一部分。为了限制该内存吞吐量的损失,可以使用用于对存储器的矢量访问的SIMD同步模式。但是,当使用偶数步幅访问向量时,可以浪费存储带宽的重要部分。在本文中,我们提出了IP,一种交错的并联方案,其确保了在高度范围内的高度交错存储器上的元素的公平分布。我们展示了如何组织访问存储器,使得从存储器到向量寄存器处理器的向量解读需要通过互连网络的最小次数。

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