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Solving linear recurrences on hybrid GPU accelerated manycore systems

机译:解决混合GPU加速的多核系统上的线性递归

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The aim of this paper is to show that linear recurrence systems with constant coefficients can be efficiently solved on hybrid GPU accelerated manycore systems with modern Fermi GPU cards. The main idea is to use the recently developed divide-and-conquer algorithm which can be expressed in terms of Level 2 and 3 BLAS operations. The results of experiments performed on hybrid system with Intel Core i7 and NVIDIA Tesla C2050 are also presented and discussed.
机译:本文的目的是证明具有常数系数的线性递归系统可以在具有现代Fermi GPU卡的混合GPU加速多核系统上有效解决。主要思想是使用最近开发的分而治之算法,该算法可以用2级和3级BLAS操作表示。还介绍和讨论了在使用Intel Core i7和NVIDIA Tesla C2050的混合系统上执行的实验结果。

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