Sapan Agarwal

39 papers A* 2B 2C 2Journal 19Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Incorruptible Neural Networks: Training Models that can Generalize to Large Internal Perturbations.
CoRR
Philip Jacobson, Ben Feinberg, Suhas Kumar, Sapan Agarwal, T. Patrick Xiao, Christopher H. Bennett
2025 A* conf
ANVIL: An In-Storage Accelerator for Name-Value Data Stores.
ISCA
Ryan Wong, Nikita Kim, Aniket Das, Kevin Higgs, Engin Ipek, Sapan Agarwal, Saugata Ghose, Ben Feinberg
2025 J jnl
Analog Bayesian neural networks are insensitive to the shape of the weight distribution.
CoRR
Ravi G. Patel, T. Patrick Xiao, Sapan Agarwal, Christopher H. Bennett
2025 — conf
Lateral Divisive Inhibition in Analog Devices for Dynamic Gain Control.
ICONS
G. William Chapman, James A. Boyle, T. Patrick Xiao, Nad Gilbert, Sapan Agarwal, Frances S. Chance
2025 J jnl
Self-heating electrochemical memory for high-precision analog computing.
CoRR
Adam L. Gross, Sangheon Oh, François Léonard, Wyatt Hodges, T. Patrick Xiao, Joshua D. Sugar, Jacklyn Zhu, Sritharini Radhakrishnan, Sangyong Lee, Jolie Wang, Adam S. Christensen, Sam Lilak, Patrick S. Finnegan, Patrick Crandall, Christopher H. Bennett, William Wahby, Robin Jacobs-Gedrim, Matthew J. Marinella, Suhas Kumar, Sapan Agarwal, Yiyang Li, A. Alec Talin, Elliot J. Fuller
2024 J jnl
Analog fast Fourier transforms for scalable and efficient signal processing.
CoRR
T. Patrick Xiao, Ben Feinberg, David K. Richardson, Matthew Cannon, Harsha Medu, Vineet Agrawal, Matthew J. Marinella, Sapan Agarwal, Christopher H. Bennett
2024 — conf
Biological Dynamics Enabling Training of Binary Recurrent Networks.
NICE
G. William Chapman, Corinne Teeter, Sapan Agarwal, T. Patrick Xiao, Park Hays, Srideep Musuvathy
2024 — conf
SHIFFT: A Scalable Hybrid In-Memory Computing FFT Accelerator.
ISVLSI
Pragnya Sudershan Nalla, Zhenyu Wang, Sapan Agarwal, T. Patrick Xiao, Christopher H. Bennett, Matthew J. Marinella, Jae-sun Seo, Yu Cao
2024 J jnl
TCAM-SSD: A Framework for Search-Based Computing in Solid-State Drives.
CoRR
Ryan Wong, Nikita Kim, Kevin Higgs, Sapan Agarwal, Engin Ipek, Saugata Ghose, Ben Feinberg
2024 — conf
Understanding and Manipulating Electronic Noise in Electrochemical Random Access Memory for Neuromorphic Computing.
DRC
Sangheon Oh, T. Patrick Xiao, Christopher H. Bennett, Patrick S. Finnegan, Sean R. Bishop, Adam S. Christensen, Adam L. Gross, Sangyong Lee, Andrew Jalbert, Leah Simakas, Joshua D. Sugar, Yiyang Li, Elliot J. Fuller, Sapan Agarwal, A. Alec Talin
2023 — conf
Enabling High-Speed, High-Resolution Space-based Focal Plane Arrays with Analog In-Memory Computing.
VLSI Technology and Circuits
T. Patrick Xiao, W. S. Wahby, Christopher H. Bennett, Park Hays, V. Agrawal, Matthew J. Marinella, Sapan Agarwal
2023 — conf
Statistical Characterization of ReRAM Arrays for Analog In-Memory Computing.
ICRC
Jesse Short, Matthew Spear, Donald Wilson, William Wahby, T. Patrick Xiao, Robin Jacobs-Gedrim, Christopher H. Bennett, Nad Gilbert, Sapan Agarwal, Matthew J. Marinella
2023 — conf
TID Response of an Analog In-Memory Neural Network Accelerator.
IRPS
B. Tolleson, Christopher H. Bennett, T. Patrick Xiao, Donald Wilson, Jesse Short, Joshua E. Kim, David R. Hughart, Nad Gilbert, Sapan Agarwal, Hugh J. Barnaby, Matthew J. Marinella
2022 — conf
ATHENA: Enabling Codesign for Next-Generation AI/ML Architectures.
ICRC
Mark Plagge, Ben Feinberg, John McFarland, Fred Rothganger, Sapan Agarwal, Amro Awad, Clayton Hughes, Suma George Cardwell
2022 J jnl
An Accurate, Error-Tolerant, and Energy-Efficient Neural Network Inference Engine Based on SONOS Analog Memory.
IEEE Trans. Circuits Syst. I Regul. Pap.
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
2022 J jnl
An out-of-distribution discriminator based on Bayesian neural network epistemic uncertainty.
CoRR
Ethan Ancell, Christopher H. Bennett, Bert J. Debusschere, Sapan Agarwal, Park Hays, T. Patrick Xiao
2022 — conf
Analog Neural Network Inference Accuracy in One-Selector One-Resistor Memory Arrays.
ICRC
Joshua E. Kim, T. Patrick Xiao, Christopher H. Bennett, Donald Wilson, Matthew Spear, Maximilian Siath, Ben Feinberg, Sapan Agarwal, Matthew J. Marinella
2022 B conf
Eris: Fault Injection and Tracking Framework for Reliability Analysis of Open-Source Hardware.
ISPASS
Shubham Nema, Justin Kirschner, Debpratim Adak, Sapan Agarwal, Ben Feinberg, Arun F. Rodrigues, Matthew J. Marinella, Amro Awad
2022 C conf
Self-correcting Flip-flops for Triple Modular Redundant Logic in a 12-nm Technology.
ISCAS
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
2021 A* conf
An Analog Preconditioner for Solving Linear Systems.
HPCA
Ben Feinberg, Ryan Wong, T. Patrick Xiao, Christopher H. Bennett, Jacob N. Rohan, Erik G. Boman, Matthew J. Marinella, Sapan Agarwal, Engin Ipek
2021 J jnl
On the Accuracy of Analog Neural Network Inference Accelerators.
CoRR
T. Patrick Xiao, Ben Feinberg, Christopher H. Bennett, Venkatraman Prabhakar, Prashant Saxena, Vineet Agrawal, Sapan Agarwal, Matthew J. Marinella
2020 — conf
Device-aware inference operations in SONOS nonvolatile memory arrays.
IRPS
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
2020 J jnl
Device-aware inference operations in SONOS nonvolatile memory arrays.
CoRR
Christopher H. Bennett, T. Patrick Xiao, Ryan Dellana, Vineet Agrawal, Ben Feinberg, Venkatraman Prabhakar, Krishnaswamy Ramkumar, Long Hinh, Swatilekha Saha, Vijay Raghavan, Ramesh Chettuvetty, Sapan Agarwal, Matthew J. Marinella
2020 — conf
Evaluating complexity and resilience trade-offs in emerging memory inference machines.
NICE
Christopher H. Bennett, Ryan Dellana, T. Patrick Xiao, Ben Feinberg, Sapan Agarwal, Suma Cardwell, Matthew J. Marinella, William Severa, Brad Aimone
2020 J jnl
Evaluating complexity and resilience trade-offs in emerging memory inference machines.
CoRR
Christopher H. Bennett, Ryan Dellana, T. Patrick Xiao, Ben Feinberg, Sapan Agarwal, Suma Cardwell, Matthew J. Marinella, William Severa, Brad Aimone
2020 J jnl
PANTHER: A Programmable Architecture for Neural Network Training Harnessing Energy-Efficient ReRAM.
IEEE Trans. Computers
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
2020 J jnl
Tunnel-FET Switching Is Governed by Non-Lorentzian Spectral Line Shape.
Proc. IEEE
Sri Krishna Vadlamani, Sapan Agarwal, David T. Limmer, Steven G. Louie, Felix R. Fischer, Eli Yablonovitch
2019 J jnl
PANTHER: A Programmable Architecture for Neural Network Training Harnessing Energy-efficient ReRAM.
CoRR
Aayush Ankit, Izzat El Hajj, Sai Rahul Chalamalasetti, Sapan Agarwal, Matthew J. Marinella, Martin Foltin, John Paul Strachan, Dejan S. Milojicic, Wen-mei W. Hwu, Kaushik Roy
2019 J jnl
Redox transistors for neuromorphic computing.
IBM J. Res. Dev.
Elliot J. Fuller, Yiyang Li, Christopher H. Bennett, Scott T. Keene, Armantas Melianas, Sapan Agarwal, Matthew J. Marinella, Alberto Salleo, A. Alec Talin
2019 J jnl
Sparse Data Acquisition on Emerging Memory Architectures.
IEEE Access
Tu-Thach Quach, Sapan Agarwal, Conrad D. James, Matthew J. Marinella, James B. Aimone
2019 J jnl
Using Floating Gate Memory to Train Ideal Accuracy Neural Networks.
CoRR
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
2019 — conf
Wafer-Scale TaOx Device Variability and Implications for Neuromorphic Computing Applications.
IRPS
Christopher H. Bennett, Diana Garland, Robin B. Jacobs-Gedrim, Sapan Agarwal, Matthew J. Marinella
2018 J jnl
Multiscale Co-Design Analysis of Energy, Latency, Area, and Accuracy of a ReRAM Analog Neural Training Accelerator.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Matthew J. Marinella, Sapan Agarwal, Alexander H. Hsia, Isaac Richter, Robin Jacobs-Gedrim, John Niroula, Steven J. Plimpton, Engin Ipek, Conrad D. James
2017 — conf
Impact of Linearity and Write Noise of Analog Resistive Memory Devices in a Neural Algorithm Accelerator.
ICRC
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
2017 J jnl
Multiscale Co-Design Analysis of Energy, Latency, Area, and Accuracy of a ReRAM Analog Neural Training Accelerator.
CoRR
Matthew J. Marinella, Sapan Agarwal, Alexander H. Hsia, Isaac Richter, Robin Jacobs-Gedrim, John Niroula, Steven J. Plimpton, Engin Ipek, Conrad D. James
2017 C conf
Ziksa: On-chip learning accelerator with memristor crossbars for multilevel neural networks.
ISCAS
Abdullah M. Zyarah, Nicholas Soures, Lydia Hays, Robin Jacobs-Gedrim, Sapan Agarwal, Matthew J. Marinella, Dhireesha Kudithipudi
2016 — conf
Energy efficiency limits of logic and memory.
ICRC
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
2016 J jnl
Neuromemristive Systems: Boosting Efficiency through Brain-Inspired Computing.
Computer
Cory E. Merkel, Raqibul Hasan, Nicholas Soures, Dhireesha Kudithipudi, Tarek M. Taha, Sapan Agarwal, Matthew J. Marinella
2016 B conf
Resistive memory device requirements for a neural algorithm accelerator.
IJCNN
Sapan Agarwal, Steven J. Plimpton, David R. Hughart, Alexander H. Hsia, Isaac Richter, Jonathan A. Cox, Conrad D. James, Matthew J. Marinella