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Exploiting processor features to implement error detection in reduced precision matrix multiplications

机译:利用处理器功能以降低精度的矩阵乘法实现错误检测

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Modern processors incorporate complex arithmetic units that can work with large word-lengths. Those units are useful for applications that require high precision. There are however, many applications for which the use of reduced precision is sufficient. In those cases, one possibility is to use the large word-length arithmetic units to implement reduced precision operations with additional error detection. In this paper, this idea is explored for the case of matrix multiplications. A technique is presented and evaluated. The results show that it can detect most errors and that for large matrixes the overhead in terms of execution time is small.
机译:现代处理器结合了可以处理较大字长的复杂算术单元。这些单元对于需要高精度的应用很有用。但是,在许多应用中,使用降低的精度就足够了。在这些情况下,一种可能性是使用大字长的算术单元来实现精度降低的操作以及附加的错误检测功能。在本文中,针对矩阵乘法的情况探索了这种想法。提出并评估了一种技术。结果表明,它可以检测到大多数错误,对于大型矩阵,执行时间方面的开销很小。

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