mlsanityData to 14 Oct 2026

Multiplier with Reduced Activities and Minimized Interconnect for Inner Product Arrays

arXiv 2204.09515 ↗First posted 11 Apr 2022cs.AR cs.LGcited by 1

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Abstract (arXiv)

We present a pipelined multiplier with reduced activities and minimized interconnect based on online digit-serial arithmetic. The working precision has been truncated such that p<n bits are used to compute n bits product, resulting in significant savings in area and power. The digit slices follow variable precision according to input, increasing upto p and then decreases according to the error profile. Pipelining has been done to achieve high throughput and low latency which is desirable for compute intensive inner products. Synthesis results of the proposed designs have been presented and compared with the non-pipelined online multiplier, pipelined online multiplier with full working precision and conventional serial-parallel and array multipliers. For 8, 16, 24 and 32 bit precision, the proposed low power pipelined design show upto 38% and 44% reduction in power and area respectively compared to the pipelined online multiplier without working precision truncation.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 3 of its 15 references that are in the map. First posted on arXiv 11 Apr 2022.

Builds on

3 of 15 references.

References · 3

  1. 2019A Survey of the Recent Architectures of Deep Convolutional Neural Networkscited by 213
  2. 2018Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey and Future Directionscited by 27
  3. 2018A CNN Accelerator on FPGA Using Depthwise Separable Convolutioncited by 8

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