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ORCID"A 17-95.6 TOPS/W Deep Learning Inference Accelerator with Per-Vector ..."
Ben Keller et al. (2022)
- Ben Keller, Rangharajan Venkatesan, Steve Dai, Stephen G. Tell, Brian Zimmer, William J. Dally, C. Thomas Gray, Brucek Khailany:
A 17-95.6 TOPS/W Deep Learning Inference Accelerator with Per-Vector Scaled 4-bit Quantization for Transformers in 5nm. VLSI Technology and Circuits 2022: 16-17
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