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Object functions of 2D static systolic arrays for matrix multiplication

机译:用于矩阵乘法的2D静态脉动阵列的对象函数

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In this paper author discuss the problem of determining parameters (object functions) suitable systolic arrays (SA) for implementation regular 3-nested loop algorithms. Authors shows that if so called adaptable algorithms are used, if it is possible, SA-s with better object functions can be synthesized. If adaptable algorithms could not be used, the difference in obtained results could be very significant. The object functions of synthesized SA-s can be space, time and combination of space and time and in this paper are considered most important from these. Obtained results in this paper are illustrated on the example of matrix multiplication as one of typical adaptable algorithm which enables synthesis of SA-s and between these so called special class of static SA-s.
机译:在本文中,作者讨论了确定参数(对象函数)以实现常规3嵌套循环算法的合适的脉动阵列(SA)的问题。作者表明,如果使用所谓的自适应算法,则有可能合成具有更好目标函数的SA。如果无法使用自适应算法,则获得的结果差异可能会非常显着。合成的SA-s的目标函数可以是空间,时间以及空间和时间的组合,因此在本文中,它们被认为是最重要的。本文获得的结果以矩阵乘法为例进行了说明,它是一种典型的自适应算法,可以实现SA-s的合成,并且可以在它们之间进行所谓的静态SA-s的特殊分类。

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