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Khushal Sethi
Khushal Sethi
Stanford University
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
Engineering strategies in microorganisms for the enhanced production of squalene: advances, challenges and opportunities
N Gohil, G Bhattacharjee, K Sethi, D Braddick, V Singh
Frontiers in bioengineering and biotechnology 7, 50, 2019
1092019
The future of hardware technologies for computing: N3XT 3D MOSAIC, illusion scaleup, co-design
RM Radway, K Sethi, WC Chen, J Kwon, S Liu, TF Wu, E Beigne, ...
2021 IEEE International Electron Devices Meeting (IEDM), 25.4. 1-25.4. 4, 2021
182021
Low-power hardware-based deep-learning diagnostics support case study
K Sethi, V Parmar, M Suri
2018 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-4, 2018
142018
GPUOPT: Power-efficient photonic network-on-chip for a scalable GPU
J Bashir, SR Sarangi
ACM Journal on Emerging Technologies in Computing Systems (JETC) 17 (1), 1-26, 2020
122020
Optimized implementation of neuromorphic HATS algorithm on FPGA
K Sethi, M Suri
2019 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2019
92019
Compacc: Efficient hardware realization for processing compressed neural networks using accumulator arrays
Z Ji, W Jung, J Woo, K Sethi, SL Lu, AP Chandrakasan
2020 IEEE Asian Solid-State Circuits Conference (A-SSCC), 1-4, 2020
72020
Power efficient photonic network-on-chip for a scalable GPU
J Bashir, K Sethi, SR Sarangi
Proceedings of the 13th IEEE/ACM International Symposium on Networks-on-Chip …, 2019
72019
Design Space Exploration of Algorithmic Multi-Port Memories in High-Performance Application-Specific Accelerators
K Sethi
arXiv preprint arXiv:2007.09363, 2020
62020
NV-Fogstore: Device-aware hybrid caching in fog computing environments
K Sethi, M Suri
arXiv preprint arXiv:2010.10562, 2020
52020
Reconfigurable cnn processor for compressed networks
A Ji, W Jung, J Woo, K Sethi, S Luc, A Chandrakasan
Research Abstracts, 14, 2020
52020
Efficient On-Chip Communication for Parallel Graph-Analytics on Spatial Architectures
K Sethi
arXiv preprint arXiv:2108.11521v2, 2022
42022
DRAGON: A suite of Hardware Simulation and Optimization tools for Modern Workloads
K Sethi
arXiv preprint arXiv:2204.06676, 2022
32022
DRAGON (Differentiable Graph Execution): A suite of Hardware Simulation and Optimization tools for Modern AI/Non-AI Workloads
K Sethi
arXiv preprint arXiv:2204.06676, 2022
2022
Low-power hardware-based deep-learning diagnostics support case study
K Sethi, V Parmar, M Suri
2018 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-4, 2018
2018
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