MEGA-MAC:一种基于合并累积的近似MAC单元,用于纠错应用

Vishesh Mishra, Sparsh Mittal, Saurabh Singh, Divy Pandey, Rekha Singhal
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引用次数: 1

摘要

本文提出了一种新的基于合并累积的近似MAC(乘累积)单元,MEGA-MAC,用于加速容错应用。MEGA-MAC在乘法阶段采用了一种新的重排和压缩策略,在积累阶段采用了一种新的近似“进位预测加法器”(CPA)。加法和乘法运算合并,减少了延迟。MEGA-MAC提供了在准确性和资源开销之间进行权衡的旋钮。与精确的MAC单元相比,MEGA-MAC(8,6)(即,具有6位块大小的MEGA-MAC单元,在8位输入操作数上操作)将功率延迟积(PDP)降低了49.4%,而平均错误率仅为4.2%。与最先进的近似MAC单元相比,MEGA-MAC在资源节约和精度损失之间实现了更好的平衡。源代码可从https://sites.google.com/view/mega-mac-approximate-mac-unit/获得。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MEGA-MAC: A Merged Accumulation based Approximate MAC Unit for Error Resilient Applications
This paper proposes a novel merged-accumulation-based approximate MAC (multiply-accumulate) unit, MEGA-MAC, for accelerating error-resilient applications. MEGA-MAC utilizes a novel rearrangement and compression strategy in the multiplication stage and a novel approximate "carry predicting adder" (CPA) in the accumulation stage. Addition and multiplication operations are merged, which reduces the delay. MEGA-MAC provides knobs to exercise a tradeoff between accuracy and resource overhead. Compared to the accurate MAC unit, MEGA-MAC(8,6) (i.e., a MEGA-MAC unit with a chunk size of 6 bits, operating on 8-bit input operands) reduces the power-delay-product (PDP) by 49.4%, while incurring a mean error percentage of only 4.2%. Compared to state-of-art approximate MAC units, MEGA-MAC achieves a better balance between resource-saving and accuracy-loss. The source code is available at https://sites.google.com/view/mega-mac-approximate-mac-unit/.
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