Jyotishman Saikia

PIMCA: A Programmable In-Memory Computing Accelerator for Energy-Efficient DNN Inference

Bo Zhang, Shihui Yin, Minkyu Kim et al. · IEEE Journal of Solid-State Circuits · 2022 · 56 citations

Largest Imc Accelerators, Engineering, Machine Learning +14

Digital Versus Analog Artificial Intelligence Accelerators: Advances, trends, and emerging designs

Jae-sun Seo, Jyotishman Saikia, Jian Meng et al. · IEEE Solid-State Circuits Magazine · 2022 · 52 citations

Engineering, Hardware Acceleration, Ai Accelerators +12

A 177 TOPS/W, Capacitor-based In-Memory Computing SRAM Macro with Stepwise-Charging/Discharging DACs and Sparsity-Optimized Bitcells for 4-Bit Deep Convolutional Neural Networks

Bo Zhang, Jyotishman Saikia, Jian Meng et al. · 2022 IEEE Custom Integrated Circuits Conference (CICC) · 2022 · 48 citations

Sparsity-optimized Bitcells, Electrical Engineering, Engineering +13

PIMCA: A 3.4-Mb Programmable In-Memory Computing Accelerator in 28nm for On-Chip DNN Inference

Shihui Yin, Bo Zhang, Minkyu Kim et al. · 2021 · 36 citations

Electrical Engineering, On-chip Dnn Inference, Engineering +14

K-Nearest Neighbor Hardware Accelerator Using In-Memory Computing SRAM

Jyotishman Saikia, Shihui Yin, Zhewei Jiang et al. · 2019 · 26 citations

Engineering, Machine Learning, Knn Hardware Accelerator +16