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 · 64 citations

Engineering, Computer Engineering, Computer Science +17

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 · 53 citations

Engineering, Computer Science, Digital Design +17

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 · 51 citations

Engineering, Computer Engineering, Electrical Engineering +17

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 · 37 citations

Engineering, Computer Engineering, Computer Science +17

MACC-SRAM: A Multistep Accumulation Capacitor-Coupling In-Memory Computing SRAM Macro for Deep Convolutional Neural Networks

Bo Zhang, Jyotishman Saikia, Jian Meng et al. · IEEE Journal of Solid-State Circuits · 2023 · 31 citations

Engineering, Computer Engineering, Computer Science +15