Rishabh Sehgal

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 7

Top Topics

Energy Efficient

Top Venues

ACM Trans. Reconfigurable Technol. Syst.

Publications

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)
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)
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) (2023)
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) (2023)
Aman Arora, Tanmay Anand, Aatman Borda, Rishabh Sehgal, Bagus Hanindhito, Jaydeep Kulkarni, Lizy K. John
CoMeFa: Compute-in-Memory Blocks for FPGAs. FCCM (2022)
Aman Arora, Tanmay Anand, Aatman Borda, Rishabh Sehgal, Bagus Hanindhito, Jaydeep Kulkarni, Lizy K. John
CoMeFa: Compute-in-Memory Blocks for FPGAs. CoRR (2022)
Rishabh Sehgal, Jaydeep P. Kulkarni
Trends in Analog and Digital Intensive Compute-in-SRAM Designs. AICAS (2021)
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)