Making Memristive Neural Network Accelerators Reliable. - Ben Feinberg; Shibo Wang; Engin Ipek (HPCA, 2018)

Enabling Scientific Computing on Memristive Accelerators. - Ben Feinberg; Uday Kumar Reddy Vengalam; Nathan Whitehair; Shibo Wang; Engin Ipek (ISCA, 2018)

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; et al. (IRPS, 2020)

Commutative Data Reordering: A New Technique to Reduce Data Movement Energy on Sparse Inference Workloads. - Ben Feinberg; Benjamin C. Heyman; Darya Mikhailenko; Ryan Wong 001; An C. Ho; Engin Ipek (ISCA, 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 (NICE, 2020)

Adapting In Situ Accelerators for Sparsity with Granular Matrix Reordering. - Darya Mikhailenko; Yujin Nakamoto; Ben Feinberg; Engin Ipek (IEEE Comput. Archit. Lett., 2020)

An Analog Preconditioner for Solving Linear Systems. - Ben Feinberg; Ryan Wong 001; T. Patrick Xiao; Christopher H. Bennett; Jacob N. Rohan; Erik G. Boman; Matthew J. Marinella; Sapan Agarwal; Engin Ipek (HPCA, 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)

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 (ICRC, 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 (ICRC, 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 (ISPASS, 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)

ERAS: A Flexible and Scalable Framework for Seamless Integration of RTL Models with Structural Simulation Toolkit. - Shubham Nema; Shiva Kaushik Chunduru; Charan Kodigal; Gwendolyn Voskuilen; Arun F. Rodrigues; K. Scott Hemmert; Ben Feinberg; Hyokeun Lee; Amro Awad; Clayton Hughes (IISWC, 2023)

Evaluation of Autonomous Vehicle Sensing and Compute Load on a Chassis Dynamometer. - 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 (ITSC, 2023)

Evaluation of HPC Workloads Running on Open-Source RISC-V Hardware. - Luc Berger-Vergiat; Suma George Cardwell; Ben Feinberg; Simon D. Hammond; Clayton Hughes; Michael J. Levenhagen; Kevin T. Pedretti (ISC Workshops, 2023)

SEFsim: A Statistically-Guided Fast DRAM Simulator. - Debpratim Adak; Hyokeun Lee; Ben Feinberg; Gwendolyn Voskuilen; Clayton Hughes; Huiyang Zhou; Amro Awad (ISPASS, 2024)

TCAM-SSD: A Framework for Search-Based Computing in Solid-State Drives. - Ryan Wong 001; Nikita Kim; Kevin Higgs; Sapan Agarwal; Engin Ipek; Saugata Ghose; Ben Feinberg (CoRR, 2024)

Analog fast Fourier transforms for scalable and efficient signal processing. - T. Patrick Xiao; Ben Feinberg; David K. Richardson; Matthew Cannon; Harsha Medu; Vineet Agrawal; Matthew J. Marinella; Sapan Agarwal; Christopher H. Bennett (CoRR, 2024)

ANVIL: An In-Storage Accelerator for Name-Value Data Stores. - Ryan Wong 001; Nikita Kim; Aniket Das; Kevin Higgs; Engin Ipek; Sapan Agarwal; Saugata Ghose; Ben Feinberg (ISCA, 2025)