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Rishabh Sehgal
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2020 – today
- 2024
- [c5]Mengtian Yang, Yipeng Wang, Shanshan Xie, Chieh-Pu Lo, Meizhi Wang, Sirish Oruganti, Rishabh Sehgal, Jaydeep P. Kulkarni:
CILP: An Arbitrary-bit Precision All-digital Compute-in-memory Solver for Integer Linear Programming Problems. CICC 2024: 1-2 - 2023
- [j2]Rishabh Sehgal
, Tanmay Thareja
, Shanshan Xie
, Can Ni, Jaydeep P. Kulkarni
:
A Bit-Serial, Compute-in-SRAM Design Featuring Hybrid-Integrating ADCs and Input Dependent Binary Scaled Precharge Eliminating DACs for Energy-Efficient DNN Inference. IEEE J. Solid State Circuits 58(7): 2109-2124 (2023) - [j1]Aman Arora
, Atharva Bhamburkar
, Aatman Borda
, Tanmay Anand
, Rishabh Sehgal
, Bagus Hanindhito
, Pierre-Emmanuel Gaillardon
, Jaydeep Kulkarni
, Lizy K. John
:
CoMeFa: Deploying Compute-in-Memory on FPGAs for Deep Learning Acceleration. ACM Trans. Reconfigurable Technol. Syst. 16(3): 50:1-50:34 (2023) - [c4]Rishabh Sehgal, Rishab Mehra, Can Ni, Jaydeep P. Kulkarni:
Compute-MLROM: Compute-in-Multi Level Read Only Memory for Energy Efficient Edge AI Inference Engines. ESSCIRC 2023: 37-40 - 2022
- [c3]Aman Arora
, Tanmay Anand, Aatman Borda, Rishabh Sehgal, Bagus Hanindhito, Jaydeep Kulkarni, Lizy K. John:
CoMeFa: Compute-in-Memory Blocks for FPGAs. FCCM 2022: 1-9 - [i1]Aman Arora, Tanmay Anand, Aatman Borda, Rishabh Sehgal, Bagus Hanindhito, Jaydeep Kulkarni, Lizy K. John:
CoMeFa: Compute-in-Memory Blocks for FPGAs. CoRR abs/2203.12521 (2022) - 2021
- [c2]Rishabh Sehgal, Jaydeep P. Kulkarni:
Trends in Analog and Digital Intensive Compute-in-SRAM Designs. AICAS 2021: 1-4
2010 – 2019
- 2015
- [c1]Deepesh Kumar
, Gorish Aggarwal, Rishabh Sehgal, Abhijit Das, Uttama Lahiri, Anirban Dutta
:
Engagement-sensitive interactive neuromuscular electrical therapy system for post-stroke balance rehabilitation - a concept study. NER 2015: 190-193
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