Jyotishman Saikia

According to our database1, Jyotishman Saikia authored at least 10 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
PIMCA: A Programmable In-Memory Computing Accelerator for Energy-Efficient DNN Inference.
IEEE J. Solid State Circuits, May, 2023

A 28-nm 8-bit Floating-Point Tensor Core-Based Programmable CNN Training Processor With Dynamic Structured Sparsity.
IEEE J. Solid State Circuits, 2023

FP-IMC: A 28nm All-Digital Configurable Floating-Point In-Memory Computing Macro.
Proceedings of the 49th IEEE European Solid State Circuits Conference, 2023

2022
A 28nm 8-bit Floating-Point Tensor Core based CNN Training Processor with Dynamic Activation/Weight Sparsification.
Proceedings of the 48th IEEE European Solid State Circuits Conference, 2022

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.
Proceedings of the IEEE Custom Integrated Circuits Conference, 2022

2021
PIMCA: A 3.4-Mb Programmable In-Memory Computing Accelerator in 28nm for On-Chip DNN Inference.
Proceedings of the 2021 Symposium on VLSI Circuits, Kyoto, Japan, June 13-19, 2021, 2021

Modeling and Optimization of SRAM-based In-Memory Computing Hardware Design.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

2019
K-Nearest Neighbor Hardware Accelerator Using In-Memory Computing SRAM.
Proceedings of the 2019 IEEE/ACM International Symposium on Low Power Electronics and Design, 2019

2018
A Low-Overhead Dynamic TCAM With Pipelined Read-Restore Refresh Scheme.
IEEE Trans. Circuits Syst. I Regul. Pap., 2018

2017
A Low-Voltage 13T Latch-Type Sense Amplifier with Regenerative Feedback for Ultra Speed Memory Access.
Proceedings of the 30th International Conference on VLSI Design and 16th International Conference on Embedded Systems, 2017


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