A Bit Serial Accelerator Architecture for Efficient ML Compute in Area, Power and Cost Constrained Sensors

This paper describes a bit-serial MAC accelerator building block architecture that is optimized for low power and cost constrained systems. The architecture is implemented with both a mixed signal and fully digital approach to compare performance. The accelerators are implemented in 40 nm CMOS and achieve up to 12.5 TOPS/W at 0.65 V supply voltage and 15 MHz clock frequency.

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Publication Details

Published
2024-11-18
DOI
https://doi.org/10.1109/icecs61496.2024.10849332
Citations
1
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.49
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article

A Bit Serial Accelerator Architecture for Efficient ML Compute in Area, Power and Cost Constrained Sensors

Sangwoo Lee, K.E. Wojciechowski
1 citations
Parallel Computing and Optimization Techniques
0.49
article

A Bit Serial Accelerator Architecture for Efficient ML Compute in Area, Power and Cost Constrained Sensors

Sangwoo Lee, K.E. Wojciechowski
article en
1 citations

Abstract

This paper describes a bit-serial MAC accelerator building block architecture that is optimized for low power and cost constrained systems. The architecture is implemented with both a mixed signal and fully digital approach to compare performance. The accelerators are implemented in 40 nm CMOS and achieve up to 12.5 TOPS/W at 0.65 V supply voltage and 15 MHz clock frequency.

Robert Bosch (United States) (US)
Affordable and clean energy
Openalex Percentile: Top 32%
Parallel Computing and Optimization Techniques
0.49
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A Bit Serial Accelerator Architecture for Efficient ML Compute in Area, Power and Cost Constrained Sensors — Sangwoo Lee, K.E. Wojciechowski · (2024) | TGRS Research Map | TGRS