Low-Cost 7T-SRAM Compute-In-Memory Design based on Bit-Line Charge-Sharing based Analog-To-Digital Conversion

Although compute-in-memory (CIM) is considered as one of the promising solutions to overcome memory wall problem, the variations in analog voltage computation and analog-to-digital-converter (ADC) cost still remain as design challenges. In this paper, we present a 7T SRAM CIM that seamlessly support...

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Vydáno v:2022 IEEE/ACM International Conference On Computer Aided Design (ICCAD) s. 1 - 8
Hlavní autoři: Lee, Kyeongho, Kim, Joonhyung, Park, Jongsun
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: ACM 30.10.2022
Témata:
Compute-in-memory (CIM)
Costs
Degradation
In-SRAM reference voltage generation
Monte Carlo methods
Random access memory
Semiconductor device modeling
SRAM
Training
variation-aware training
Voltage
ISSN:1558-2434
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Shrnutí:Although compute-in-memory (CIM) is considered as one of the promising solutions to overcome memory wall problem, the variations in analog voltage computation and analog-to-digital-converter (ADC) cost still remain as design challenges. In this paper, we present a 7T SRAM CIM that seamlessly supports multiply-accumulation (MAC) operation between 4-bit inputs and 8-bit weights. In the proposed CIM, highly parallel and robust MAC operations are enabled by exploiting the bit-line charge-sharing scheme to simultaneously process multiple inputs. For the readout of analog MAC values, instead of adopting the conventional ADC structure, the bit-line charge-sharing is efficiently used to reduce the implementation cost of the reference voltage generations. Based on the in-SRAM reference voltage generation and the parallel analog readout in all columns, the proposed CIM efficiently reduces ADC power and area cost. In addition, the variation models from Monte-Carlo simulations are also used during training to reduce the accuracy drop due to process variations. The implementation of 256×64 7T SRAM CIM using 28nm CMOS process shows that it operates in the wide voltage range from 0.6V to 1.2V with energy efficiency of 45.8-TOPS/W at 0.6V.
ISSN:1558-2434
DOI:10.1145/3508352.3549423