Ben Feinberg

According to our database, Ben Feinberg authored at least 18 papers between 2018 and 2024.

Collaborative distances:

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

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

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

SEFsim: A Statistically-Guided Fast DRAM Simulator.

Debpratim Adak, Hyokeun Lee, Ben Feinberg, Gwendolyn Voskuilen, Clayton Hughes, Huiyang Zhou, Amro Awad

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2024

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

Proceedings of the High Performance Computing, 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

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

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

Proceedings of the IEEE International Symposium on Workload Characterization, 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

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

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

Adapting In Situ Accelerators for Sparsity with Granular Matrix Reordering.

Darya Mikhailenko, Yujin Nakamoto, Ben Feinberg, Engin Ipek

IEEE Comput. Archit. Lett., 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

Commutative Data Reordering: A New Technique to Reduce Data Movement Energy on Sparse Inference Workloads.

Ben Feinberg, Benjamin C. Heyman, Darya Mikhailenko, Ryan Wong, An C. Ho, Engin Ipek

Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 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

2018

Enabling Scientific Computing on Memristive Accelerators.

Ben Feinberg, Uday Kumar Reddy Vengalam, Nathan Whitehair, Shibo Wang, Engin Ipek

Proceedings of the 45th ACM/IEEE Annual International Symposium on Computer Architecture, 2018

Making Memristive Neural Network Accelerators Reliable.

Ben Feinberg, Shibo Wang, Engin Ipek

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2018