Sapan Agarwal

According to our database, Sapan Agarwal authored at least 26 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

TCAM-SSD: A Framework for Search-Based Computing in Solid-State Drives.

Ryan Wong, Nikita Kim, Kevin Higgs, Sapan Agarwal, Engin Ipek, Saugata Ghose, Ben Feinberg

CoRR, 2024

2023

Enabling High-Speed, High-Resolution Space-based Focal Plane Arrays with Analog In-Memory Computing.

T. Patrick Xiao, W. S. Wahby, Christopher H. Bennett, Park Hays, V. Agrawal, Matthew J. Marinella, Sapan Agarwal

Proceedings of the 2023 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits), 2023

TID Response of an Analog In-Memory Neural Network Accelerator.

B. Tolleson, Christopher H. Bennett, T. Patrick Xiao, Donald Wilson, Jesse Short, J. Kim, David R. Hughart, Nad Gilbert, Sapan Agarwal, Hugh J. Barnaby, Matthew J. Marinella

Proceedings of the IEEE International Reliability Physics Symposium, 2023

Statistical Characterization of ReRAM Arrays for Analog In-Memory Computing.

Jesse Short, Matthew Spear, Donald Wilson, William Wahby, T. Patrick Xiao, Robin Jacobs-Gedrim, Christopher H. Bennett, Nad Gilbert, Sapan Agarwal, Matthew J. Marinella

Proceedings of the IEEE International Conference on Rebooting Computing, 2023

2022

An Accurate, Error-Tolerant, and Energy-Efficient Neural Network Inference Engine Based on SONOS Analog Memory.

T. Patrick Xiao, Ben Feinberg, Christopher H. Bennett, Vineet Agrawal, Prashant Saxena, Venkatraman Prabhakar, Krishnaswamy Ramkumar, Harsha Medu, Vijay Raghavan, Ramesh Chettuvetty, Sapan Agarwal, Matthew J. Marinella

IEEE Trans. Circuits Syst. I Regul. Pap., 2022

An out-of-distribution discriminator based on Bayesian neural network epistemic uncertainty.

Ethan Ancell, Christopher H. Bennett, Bert J. Debusschere, Sapan Agarwal, Park Hays, T. Patrick Xiao

CoRR, 2022

Eris: Fault Injection and Tracking Framework for Reliability Analysis of Open-Source Hardware.

Shubham Nema, Justin Kirschner, Debpratim Adak, Sapan Agarwal, Ben Feinberg, Arun F. Rodrigues, Matthew J. Marinella, Amro Awad

Proceedings of the International IEEE Symposium on Performance Analysis of Systems and Software, 2022

Self-correcting Flip-flops for Triple Modular Redundant Logic in a 12-nm Technology.

Lawrence T. Clark, Alen Duvnjak, Clifford Young-Sciortino, Matthew Cannon, John S. Brunhaver, Sapan Agarwal, Jereme Neuendank, Donald Wilson, Hugh J. Barnaby, Matthew J. Marinella

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

ATHENA: Enabling Codesign for Next-Generation AI/ML Architectures.

Mark Plagge, Ben Feinberg, John McFarland, Fred Rothganger, Sapan Agarwal, Amro Awad, Clayton Hughes, Suma George Cardwell

Proceedings of the IEEE International Conference on Rebooting Computing, 2022

Analog Neural Network Inference Accuracy in One-Selector One-Resistor Memory Arrays.

Joshua E. Kim, T. Patrick Xiao, Christopher H. Bennett, Donald Wilson, Matthew Spear, Maximilian Siath, Ben Feinberg, Sapan Agarwal, Matthew J. Marinella

Proceedings of the IEEE International Conference on Rebooting Computing, 2022

2021

On the Accuracy of Analog Neural Network Inference Accelerators.

T. Patrick Xiao, Ben Feinberg, Christopher H. Bennett, Venkatraman Prabhakar, Prashant Saxena, Vineet Agrawal, Sapan Agarwal, Matthew J. Marinella

CoRR, 2021

An Analog Preconditioner for Solving Linear Systems.

Ben Feinberg, Ryan Wong, T. Patrick Xiao, Christopher H. Bennett, Jacob N. Rohan, Erik G. Boman, Matthew J. Marinella, Sapan Agarwal, Engin Ipek

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2021

2020

PANTHER: A Programmable Architecture for Neural Network Training Harnessing Energy-Efficient ReRAM.

Aayush Ankit, Izzat El Hajj, Sai Rahul Chalamalasetti, Sapan Agarwal, Matthew J. Marinella, Martin Foltin, John Paul Strachan, Dejan S. Milojicic, Wen-Mei Hwu, Kaushik Roy

IEEE Trans. Computers, 2020

Tunnel-FET Switching Is Governed by Non-Lorentzian Spectral Line Shape.

Sri Krishna Vadlamani, Sapan Agarwal, David T. Limmer, Steven G. Louie, Felix R. Fischer, Eli Yablonovitch

Proc. IEEE, 2020

Evaluating complexity and resilience trade-offs in emerging memory inference machines.

Christopher H. Bennett, Ryan Dellana, T. Patrick Xiao, Ben Feinberg, Sapan Agarwal, Suma Cardwell, Matthew J. Marinella, William Severa, Brad Aimone

Proceedings of the NICE '20: Neuro-inspired Computational Elements Workshop, 2020

Device-aware inference operations in SONOS nonvolatile memory arrays.

Christopher H. Bennett, T. Patrick Xiao, Ryan Dellana, Ben Feinberg, Sapan Agarwal, Matthew J. Marinella, Vineet Agrawal, Venkatraman Prabhakar, Krishnaswamy Ramkumar, Long Hinh, Swatilekha Saha, Vijay Raghavan, Ramesh Chettuvetty

Proceedings of the 2020 IEEE International Reliability Physics Symposium, 2020

2019

Redox transistors for neuromorphic computing.

Elliot J. Fuller, Yiyang Li, Christopher H. Bennett, Scott T. Keene, Armantas Melianas, Sapan Agarwal, Matthew J. Marinella, Alberto Salleo, A. Alec Talin

IBM J. Res. Dev., 2019

Using Floating Gate Memory to Train Ideal Accuracy Neural Networks.

Sapan Agarwal, Diana Garland, John Niroula, Robin B. Jacobs-Gedrim, Alexander H. Hsia, Michael S. van Heukelom, Elliot J. Fuller, Bruce Draper, Matthew J. Marinella

CoRR, 2019

Sparse Data Acquisition on Emerging Memory Architectures.

Tu-Thach Quach, Sapan Agarwal, Conrad D. James, Matthew J. Marinella, James B. Aimone

IEEE Access, 2019

Wafer-Scale TaOx Device Variability and Implications for Neuromorphic Computing Applications.

Christopher H. Bennett, Diana Garland, Robin B. Jacobs-Gedrim, Sapan Agarwal, Matthew J. Marinella

Proceedings of the IEEE International Reliability Physics Symposium, 2019

2018

Multiscale Co-Design Analysis of Energy, Latency, Area, and Accuracy of a ReRAM Analog Neural Training Accelerator.

Matthew J. Marinella, Sapan Agarwal, Alexander H. Hsia, Isaac Richter, Robin Jacobs-Gedrim, John Niroula, Steven J. Plimpton, Engin Ipek, Conrad D. James

IEEE J. Emerg. Sel. Topics Circuits Syst., 2018

2017

Ziksa: On-chip learning accelerator with memristor crossbars for multilevel neural networks.

Abdullah M. Zyarah, Nicholas Soures, Lydia Hays, Robin Jacobs-Gedrim, Sapan Agarwal, Matthew J. Marinella, Dhireesha Kudithipudi

Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

Impact of Linearity and Write Noise of Analog Resistive Memory Devices in a Neural Algorithm Accelerator.

Robin B. Jacobs-Gedrim, Sapan Agarwal, Kathrine E. Knisely, Jim E. Stevens, Michael S. van Heukelom, David R. Hughart, John Niroula, Conrad D. James, Matthew J. Marinella

Proceedings of the IEEE International Conference on Rebooting Computing, 2017

2016

Neuromemristive Systems: Boosting Efficiency through Brain-Inspired Computing.

Cory E. Merkel, Raqibul Hasan, Nicholas Soures, Dhireesha Kudithipudi, Tarek M. Taha, Sapan Agarwal, Matthew J. Marinella

Computer, 2016

Resistive memory device requirements for a neural algorithm accelerator.

Sapan Agarwal, Steven J. Plimpton, David R. Hughart, Alexander H. Hsia, Isaac Richter, Jonathan A. Cox, Conrad D. James, Matthew J. Marinella

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Energy efficiency limits of logic and memory.

Sapan Agarwal, Jeanine E. Cook, Erik DeBenedictis, Michael P. Frank, Gert Cauwenberghs, Sriseshan Srikanth, Bobin Deng, Eric R. Hein, Paul G. Rabbat, Thomas M. Conte

Proceedings of the IEEE International Conference on Rebooting Computing, 2016