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How to optimize residual communications?

机译:如何优化剩余通信?

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Minimizing communications when mapping affine loop nests onto distributed memory parallel computers has already drawn a lot of attention. We focus on the next step: as it is generally impossible to obtain a communication-free (or local) mapping, how to optimize the residual communications? We explain how to take advantage of macro-communications such as broadcasts, scatters, gathers or reductions or how to decompose general affine communications into simpler ones that can be performed more efficiently. We finally give a two-step heuristic that summarizes our approach: first minimize the number of nonlocal communications, then optimize residual affine communications using macro-communications or decompositions.
机译:最小化通信在映射仿射循环嵌套到分布式内存并行计算机上已经绘制了很多关注。我们专注于下一步:通常不可能获得无通信(或本地)映射,如何优化剩余通信?我们解释了如何利用宏通信,例如广播,散击,收集或缩减,或者如何将一般仿射通信分解为可以更有效地执行的更简单的通信。我们终于给出了一项两步启发式,总结了我们的方法:首先最大限度地减少非识别通信的数量,然后使用宏通信或分解优化残留仿射通信。

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