一种硬件高效的Mitchell乘法器的近似前导检测器设计

S. Gandhi, M. S. Ansari, B. Cockburn, Jie Han
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引用次数: 13

摘要

我们提出了两个近似的前置检测器(LOD)设计和一个近似加法器(用于求和两个对数),可用于提高米切尔对数乘法器的硬件效率。第一种LOD设计使用单个固定值来近似“d”最低有效位(lsb)。对于d=16,与传统的32位Mitchell乘法器相比,该设计降低了19.91%的硬件成本,与文献中最近的设计相比,降低了15.19%的硬件成本。我们的设计比传统的米切尔设计小32.33%,节能56.77%。第二种设计将“d”位分割成更小的字段,并通过使用选择更接近实际输入值的多路复用方案来提高精度。与最初的米切尔乘法器相比,该设计降低了17.98%的硬件成本,与其他最近的设计相比降低了13.15%。我们的设计比传统的米切尔设计小29.17%,节能56.18%。在近似加法器中,“m”个最低有效位被设置为1和0交替的固定偏差。选择“d”和“m”的最优值以保持传统米切尔乘法器的全部精度,同时降低硬件成本。对于小于或等于216的输入,新设计会增加符号误差,但对于较大的数字,其精度与传统的米切尔乘法器相同。该近似只影响$2^{32}-1$中最小的$2^{16}-1$输入值。新的近似乘法器适用于可以容忍影响最低有效数字的近似误差的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Approximate Leading One Detector Design for a Hardware-Efficient Mitchell Multiplier
We propose two approximate leading one detector (LOD) designs and an approximate adder (for summing two logarithms) that can be used to improve the hardware efficiency of the Mitchell logarithmic multiplier. The first LOD design uses a single fixed value to approximate the ‘d’ least significant bits (LSBs). For d=16 this design reduces the hardware cost by 19.91% compared to the conventional 32-bit Mitchell multiplier and by 15.19% when compared to a recent design in the literature. Our design is smaller by 32.33% and more energy-efficient by 56.77% with respect to a conventional Mitchell design. The second design partitions the ‘d’ bits into smaller fields and increases the accuracy by using a multiplexing scheme that selects a closer approximation to the actual input value. This design reduces the hardware cost by 17.98% compared to the original Mitchell multiplier and by 13.15% when compared to the other recent design. Our design is smaller by 29.17% and more energy-efficient by 56.18% with respect to the conventional Mitchell design. In the approximate adder, the ‘m’ least significant bits are set to a fixed bias of alternating ones and zeros. The optimal values of ‘d’ and ‘m’ are chosen to preserve the full accuracy of the conventional Mitchell multiplier while reducing the hardware cost. The new designs produce increased signed errors for inputs less than or equal to 216 but for larger numbers the accuracy is equal to that of the conventional Mitchell multiplier. The approximation affects only the $2^{16} -1$ smallest input values out of $2^{32} -1$. The new approximate multipliers are suitable for applications where approximation errors affecting the least significant digits can be tolerated.
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