Ben Feinberg

27 papers A* 5A 1B 2Journal 9Unranked 10
YearRankTypeTitle / Venue / Authors
2026 — conf
DARTH-PUM: A Hybrid Processing-Using-Memory Architecture.
ASPLOS (2)
Ryan Wong, Ben Feinberg, Saugata Ghose
2026 J jnl
DARTH-PUM: A Hybrid Processing-Using-Memory Architecture.
CoRR
Ryan Wong, Ben Feinberg, Saugata Ghose
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
2026 — conf
Noise-Agnostic One-Shot Training and Retraining for Robust DNN Inferencing on Analog Compute-in-Memory Systems.
ASP-DAC
Ashish Reddy Bommana, Ben Feinberg, Tianyao Patrick Xiao, Christopher H. Bennett, Matthew J. Marinella, Krishnendu Chakrabarty
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 A conf
Fault Tolerance in RRAM-based AI Accelerator with Guided Randomized Activation.
ITC
Soyed Tuhin Ahmed, Eduardo Ortega, Ryan Depsey, T. Patrick Xiao, Ben Feinberg, Christopher H. Bennett, Matthew J. Marinella, Krishnendu Chakrabarty
2025 — conf
Simulating Hybrid Analog + RISC-V Systems for HPC Applications.
SC Workshops
Cameron Durbin, Jacob Flores, Thomas Weatherly, Ben Feinberg
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 B conf
SEFsim: A Statistically-Guided Fast DRAM Simulator.
ISPASS
Debpratim Adak, Hyokeun Lee, Ben Feinberg, Gwendolyn Voskuilen, Clayton Hughes, Huiyang Zhou, Amro Awad
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
2023 — conf
ERAS: A Flexible and Scalable Framework for Seamless Integration of RTL Models with Structural Simulation Toolkit.
IISWC
Shubham Nema, Shiva Kaushik Chunduru, Charan Kodigal, Gwendolyn Voskuilen, Arun F. Rodrigues, K. Scott Hemmert, Ben Feinberg, Hyokeun Lee, Amro Awad, Clayton Hughes
2023 — conf
Evaluation of Autonomous Vehicle Sensing and Compute Load on a Chassis Dynamometer.
ITSC
Nicholas E. Brown, Farhang Motallebi Araghi, Johan Fanas Rojas, Sherif Ayantayo, Richard T. Meyer, Zachary D. Asher, Ali Riza Ekti, Chieh Ross Wang, Nicholas A. Goberville, Ben Feinberg
2023 — conf
Evaluation of HPC Workloads Running on Open-Source RISC-V Hardware.
ISC Workshops
Luc Berger-Vergiat, Suma George Cardwell, Ben Feinberg, Simon D. Hammond, Clayton Hughes, Michael J. Levenhagen, Kevin T. Pedretti
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 — 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
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 J jnl
Adapting In Situ Accelerators for Sparsity with Granular Matrix Reordering.
IEEE Comput. Archit. Lett.
Darya Mikhailenko, Yujin Nakamoto, Ben Feinberg, Engin Ipek
2020 A* conf
Commutative Data Reordering: A New Technique to Reduce Data Movement Energy on Sparse Inference Workloads.
ISCA
Ben Feinberg, Benjamin C. Heyman, Darya Mikhailenko, Ryan Wong, An C. Ho, Engin Ipek
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
2018 A* conf
Enabling Scientific Computing on Memristive Accelerators.
ISCA
Ben Feinberg, Uday Kumar Reddy Vengalam, Nathan Whitehair, Shibo Wang, Engin Ipek
2018 A* conf
Making Memristive Neural Network Accelerators Reliable.
HPCA
Ben Feinberg, Shibo Wang, Engin Ipek