Zobrazeno 1 - 10
of 172
pro vyhledávání: '"Sapan Agarwal"'
Autor:
Matthew Spear, Joshua E. Kim, Christopher H. Bennett, Sapan Agarwal, Matthew J. Marinella, T. Patrick Xiao
Publikováno v:
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, Vol 9, Iss 2, Pp 176-184 (2023)
The analog-to-digital converter (ADC) is not only a key component in analog in-memory computing (IMC) accelerators but also a bottleneck for the efficiency and accuracy of these systems. While the tradeoffs between power consumption, latency, and are
Externí odkaz:
https://doaj.org/article/2fea95d8692c448d91928b5cba991cb8
Autor:
Nicholas Zogbi, Samuel Liu, Christopher H. Bennett, Sapan Agarwal, Matthew J. Marinella, Jean Anne C. Incorvia, T. Patrick Xiao
Publikováno v:
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, Vol 9, Iss 1, Pp 65-73 (2023)
The domain wall-magnetic tunnel junction (DW-MTJ) is a versatile device that can simultaneously store data and perform computations. These three-terminal devices are promising for digital logic due to their nonvolatility, low-energy operation, and ra
Externí odkaz:
https://doaj.org/article/965ae70cc09849eeb776d3308f958d19
Autor:
Samuel Liu, T. Patrick Xiao, Jaesuk Kwon, Bert J. Debusschere, Sapan Agarwal, Jean Anne C. Incorvia, Christopher H. Bennett
Publikováno v:
Frontiers in Nanotechnology, Vol 4 (2022)
Bayesian neural networks (BNNs) combine the generalizability of deep neural networks (DNNs) with a rigorous quantification of predictive uncertainty, which mitigates overfitting and makes them valuable for high-reliability or safety-critical applicat
Externí odkaz:
https://doaj.org/article/d35487cae7204d638de7a693a3032cae
Autor:
Sapan Agarwal, Diana Garland, John Niroula, Robin B. Jacobs-Gedrim, Alex Hsia, Michael S. Van Heukelom, Elliot Fuller, Bruce Draper, Matthew J. Marinella
Publikováno v:
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, Vol 5, Iss 1, Pp 52-57 (2019)
Floating-gate silicon-oxygen-nitrogen-oxygen-silicon (SONOS) transistors can be used to train neural networks to ideal accuracies that match those of floating-point digital weights on the MNIST handwritten digit data set when using multiple devices t
Externí odkaz:
https://doaj.org/article/f9789c4e832c44fb8d70061ff4ef4e3c
Autor:
T. Patrick Xiao, Christopher H. Bennett, Xuan Hu, Ben Feinberg, Robin Jacobs-Gedrim, Sapan Agarwal, John S. Brunhaver, Joseph S. Friedman, Jean Anne C. Incorvia, Matthew J. Marinella
Publikováno v:
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, Vol 5, Iss 2, Pp 188-196 (2019)
The domain-wall (DW)-magnetic tunnel junction (MTJ) device implements universal Boolean logic in a manner that is naturally compact and cascadable. However, an evaluation of the energy efficiency of this emerging technology for standard logic applica
Externí odkaz:
https://doaj.org/article/7014dfc1041a4b6a9eedf9dfba82a92a
Publikováno v:
IEEE Access, Vol 7, Pp 1685-1693 (2019)
Emerging memory devices, such as resistive crossbars, have the capacity to store large amounts of data in a single array. Acquiring the data stored in large-capacity crossbars in a sequential fashion can become a bottleneck. We present practical meth
Externí odkaz:
https://doaj.org/article/36b979f4aedf4df299e7b569093502e6
Autor:
Lawrence T. Clark, Alen Duvnjak, Matthew Cannon, John Brunhaver, Sapan Agarwal, Jack E. Manuel, Donald Wilson, Hugh Barnaby, Matthew Marinella
Publikováno v:
IEEE Transactions on Nuclear Science. 69:1602-1609
Autor:
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
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers. 69:1480-1493
Autor:
A. Alec Talin, T. Patrick Xiao, Christopher H. Bennett, Helmut Puchner, David Russell Hughart, Matthew J. Marinella, Hugh J. Barnaby, Sapan Agarwal
Publikováno v:
IEEE Transactions on Nuclear Science. 69:406-413
Autor:
Sapan Agarwal, Lawrence T. Clark, Clifford Youngsciortino, Garrick Ng, Dolores Black, Matthew Cannon, Jeffrey Black, Heather Quinn, John Brunhaver, Hugh Barnaby, Jack Manuel, Ethan Blansett, Matthew J. Marinella
Publikováno v:
IEEE Transactions on Nuclear Science. 69:414-421