Robin Jacobs-Gedrim

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 5

Top Topics

Computational Cost

Hypothesis Testing

Statistical Analysis

Top Venues

IEEE J. Emerg. Sel. Topics Circuits Syst.

Publications

D. Wilson, Nad E. Gilbert, Matt Spear, J. Short, Christopher H. Bennett, William Wahby, J. Kim, Robin Jacobs-Gedrim, Tianyao Patrick Xiao, S. Agarwal, Matthew J. Marinella
A Discovery Platform to Characterize Emerging Nonvolatile Memories for Computing. VTS (2024)
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)
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)
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)