Non-generic floating-point software support for embedded media processing

C. Jeannerod, Jingyan Jourdan-Lu, Christophe Monat
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引用次数: 1

Abstract

This paper presents some work in progress on the design and implementation of efficient floating-point software support for embedded integer processors. We provide quantitative evidence of the benefits of supporting various non-generic (that is, fused, specialized, or paired) operations in addition to the five basic arithmetic operations: for individual calls, speedups range from 1.12 to 4.86, while on DSP kernels and benchmarks, our approach allows us to be up to 1.59x faster.
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支持嵌入式媒体处理的非通用浮点软件
本文介绍了支持嵌入式整数处理器的高效浮点软件的设计和实现方面的一些工作。除了五种基本的算术运算之外,我们还提供了支持各种非通用(即融合、专用或配对)运算的好处的定量证据:对于单个调用,加速范围从1.12到4.86,而在DSP内核和基准测试中,我们的方法使我们的速度提高了1.59倍。
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