Sapan Agarwal

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 32

Top Topics

Dempster Shafer

Inference Engine

Top Venues

Publications

Ryan Wong, Nikita Kim, Kevin Higgs, Sapan Agarwal, Engin Ipek, Saugata Ghose, Ben Feinberg
TCAM-SSD: A Framework for Search-Based Computing in Solid-State Drives. CoRR (2024)
G. William Chapman, Corinne Teeter, Sapan Agarwal, T. Patrick Xiao, Park Hays, Srideep Musuvathy
Biological Dynamics Enabling Training of Binary Recurrent Networks. NICE (2024)
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
Understanding and Manipulating Electronic Noise in Electrochemical Random Access Memory for Neuromorphic Computing. DRC (2024)
B. Tolleson, Christopher H. Bennett, T. Patrick Xiao, Donald Wilson, J. Short, J. Kim, David R. Hughart, N. Gilbert, Sapan Agarwal, Hugh J. Barnaby, Matthew J. Marinella
TID Response of an Analog In-Memory Neural Network Accelerator. IRPS (2023)
Jesse Short, Matthew Spear, Donald Wilson, William Wahby, T. Patrick Xiao, Robin Jacobs-Gedrim, Christopher H. Bennett, Nad Gilbert, Sapan Agarwal, Matthew J. Marinella
Statistical Characterization of ReRAM Arrays for Analog In-Memory Computing. ICRC (2023)
T. Patrick Xiao, W. S. Wahby, Christopher H. Bennett, Park Hays, V. Agrawal, Matthew J. Marinella, Sapan Agarwal
Enabling High-Speed, High-Resolution Space-based Focal Plane Arrays with Analog In-Memory Computing. VLSI Technology and Circuits (2023)
Mark Plagge, Ben Feinberg, John McFarland, Fred Rothganger, Sapan Agarwal, Amro Awad, Clayton Hughes, Suma George Cardwell
ATHENA: Enabling Codesign for Next-Generation AI/ML Architectures. ICRC (2022)
Joshua E. Kim, T. Patrick Xiao, Christopher H. Bennett, Donald Wilson, Matthew Spear, Maximilian Siath, Ben Feinberg, Sapan Agarwal, Matthew J. Marinella
Analog Neural Network Inference Accuracy in One-Selector One-Resistor Memory Arrays. ICRC (2022)
Ethan Ancell, Christopher H. Bennett, Bert J. Debusschere, Sapan Agarwal, Park Hays, T. Patrick Xiao
An out-of-distribution discriminator based on Bayesian neural network epistemic uncertainty. CoRR (2022)
Shubham Nema, Justin Kirschner, Debpratim Adak, Sapan Agarwal, Ben Feinberg, Arun F. Rodrigues, Matthew J. Marinella, Amro Awad
Eris: Fault Injection and Tracking Framework for Reliability Analysis of Open-Source Hardware. ISPASS (2022)
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
An Accurate, Error-Tolerant, and Energy-Efficient Neural Network Inference Engine Based on SONOS Analog Memory. IEEE Trans. Circuits Syst. I Regul. Pap. 69 (4) (2022)
Lawrence T. Clark, Alen Duvnjak, Clifford Young-Sciortino, Matthew Cannon, John Brunhaver, Sapan Agarwal, Jereme Neuendank, Donald Wilson, Hugh J. Barnaby, Matthew J. Marinella
Self-correcting Flip-flops for Triple Modular Redundant Logic in a 12-nm Technology. ISCAS (2022)
T. Patrick Xiao, Ben Feinberg, Christopher H. Bennett, Venkatraman Prabhakar, Prashant Saxena, Vineet Agrawal, Sapan Agarwal, Matthew J. Marinella
On the Accuracy of Analog Neural Network Inference Accelerators. CoRR (2021)
Ben Feinberg, Ryan Wong, T. Patrick Xiao, Christopher H. Bennett, Jacob N. Rohan, Erik G. Boman, Matthew J. Marinella, Sapan Agarwal, Engin Ipek
An Analog Preconditioner for Solving Linear Systems. HPCA (2021)
Christopher H. Bennett, Ryan Dellana, T. Patrick Xiao, Ben Feinberg, Sapan Agarwal, Suma Cardwell, Matthew J. Marinella, William Severa, Brad Aimone
Evaluating complexity and resilience trade-offs in emerging memory inference machines. NICE (2020)
Christopher H. Bennett, Ryan Dellana, T. Patrick Xiao, Ben Feinberg, Sapan Agarwal, Suma Cardwell, Matthew J. Marinella, William Severa, Brad Aimone
Evaluating complexity and resilience trade-offs in emerging memory inference machines. CoRR (2020)
Sri Krishna Vadlamani, Sapan Agarwal, David T. Limmer, Steven G. Louie, Felix R. Fischer, Eli Yablonovitch
Tunnel-FET Switching Is Governed by Non-Lorentzian Spectral Line Shape. Proc. IEEE 108 (8) (2020)
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
Device-aware inference operations in SONOS nonvolatile memory arrays. IRPS (2020)
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
PANTHER: A Programmable Architecture for Neural Network Training Harnessing Energy-Efficient ReRAM. IEEE Trans. Computers 69 (8) (2020)
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
Device-aware inference operations in SONOS nonvolatile memory arrays. CoRR (2020)
Christopher H. Bennett, Diana Garland, Robin B. Jacobs-Gedrim, Sapan Agarwal, Matthew J. Marinella
Wafer-Scale TaOx Device Variability and Implications for Neuromorphic Computing Applications. IRPS (2019)
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
Using Floating Gate Memory to Train Ideal Accuracy Neural Networks. CoRR (2019)
Elliot J. Fuller, Yiyang Li, Christopher Bennet, Scott T. Keene, Armantas Melianas, Sapan Agarwal, Matthew J. Marinella, Alberto Salleo, A. Alec Talin
Redox transistors for neuromorphic computing. IBM J. Res. Dev. 63 (6) (2019)
Tu-Thach Quach, Sapan Agarwal, Conrad D. James, Matthew J. Marinella, James B. Aimone
Sparse Data Acquisition on Emerging Memory Architectures. IEEE Access 7 (2019)
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
PANTHER: A Programmable Architecture for Neural Network Training Harnessing Energy-efficient ReRAM. CoRR (2019)
Matthew J. Marinella, Sapan Agarwal, Alexander H. Hsia, Isaac Richter, Robin Jacobs-Gedrim, John Niroula, Steven J. Plimpton, Engin Ipek, Conrad D. James
Multiscale Co-Design Analysis of Energy, Latency, Area, and Accuracy of a ReRAM Analog Neural Training Accelerator. IEEE J. Emerg. Sel. Topics Circuits Syst. 8 (1) (2018)
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
Impact of Linearity and Write Noise of Analog Resistive Memory Devices in a Neural Algorithm Accelerator. ICRC (2017)
Matthew J. Marinella, Sapan Agarwal, Alexander H. Hsia, Isaac Richter, Robin Jacobs-Gedrim, John Niroula, Steven J. Plimpton, Engin Ipek, Conrad D. James
Multiscale Co-Design Analysis of Energy, Latency, Area, and Accuracy of a ReRAM Analog Neural Training Accelerator. CoRR (2017)
Abdullah M. Zyarah, Nicholas Soures, Lydia Hays, Robin Jacobs-Gedrim, Sapan Agarwal, Matthew J. Marinella, Dhireesha Kudithipudi
Ziksa: On-chip learning accelerator with memristor crossbars for multilevel neural networks. ISCAS (2017)
Sapan Agarwal, Steven J. Plimpton, David R. Hughart, Alexander H. Hsia, Isaac Richter, Jonathan A. Cox, Conrad D. James, Matthew J. Marinella
Resistive memory device requirements for a neural algorithm accelerator. IJCNN (2016)
Cory E. Merkel, Raqibul Hasan, Nicholas Soures, Dhireesha Kudithipudi, Tarek M. Taha, Sapan Agarwal, Matthew J. Marinella
Neuromemristive Systems: Boosting Efficiency through Brain-Inspired Computing. Computer 49 (10) (2016)
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
Energy efficiency limits of logic and memory. ICRC (2016)