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Towards Cache-Optimized Multigrid Using Patch-Adaptive Relaxation

机译:使用补丁自适应放松对缓存优化的多基体进行

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Most of today’s computer architectures employ fast, yet relatively small cache memories in order to mitigate the effects of the constantly widening gap between CPU speed and main memory performance. Efficient execution of numerically intensive programs can only be expected if these hierarchical memory designs are respected. Our work targets the optimization of the cache performance of multigrid codes. The research efforts we will present in this paper first cover transformations that may be automized and then focus on fundamental algorithmic modifications which require careful mathematical analysis. We will present experimental results for the latter.
机译:今天的大多数计算机架构采用快速,但相对较小的缓存存储器,以减轻CPU速度和主要内存性能之间不断扩大的差距的影响。只有在遵守这些分层内存设计,只能预期数值密集型程序的高效执行。我们的工作是针对多重资料码的高速缓存性能的定位。我们将在本文中展示的研究努力首先覆盖可能是自动化的转换,然后专注于需要仔细数学分析的基本算法修改。我们将提出后者的实验结果。

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