Dinesh Kushwaha, Rajat Kohli, et al.
AICAS 2023
An energy-efficient high signal margin analog compute-in-memory (CIM) architecture is proposed to support multi-bit multiplication and accumulate (MAC) operation. A proposed transmission gate-based 10T SRAM bit-cell enhances the signal margin. The achieved signal margin is 58 mV, 4.6× higher than state-of-the-art. A metal-oxide-metal (MOM) C-2C capacitive bank provides better linearity of MAC and achieves a high throughput of 128 GOPS. Furthermore, the proposed multi-bit analog CIM architecture achieves a throughput density of 32 GOPS/kb, 64× higher than the state-of-the-art. The energy efficiency of the proposed architecture is 36 TOPS/W, which is 2.27× higher than the reported work. A LeNet-5 CNN model is implemented on the proposed architecture, achieving an inference accuracy of 96.63% for the MNIST data set. The figure-of-merit (FoM) of the proposed architecture is 522, which is 13.2× higher than the state-of-the-art.
Dinesh Kushwaha, Rajat Kohli, et al.
AICAS 2023
Dinesh Kushwaha, Ashish Joshi, et al.
VLSID 2023
Dinesh Kushwaha, Ashish Joshi, et al.
ISQED 2024
Dinesh Kushwaha, Aditya Sharma, et al.
ISCAS 2022