Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Michael Mastro"'
Autor:
Andrew J. Winchester, Michael Mastro, Travis Anderson, Jennifer Hite, Andrei Kolmakov, Sujitra Pookpanratana
Publikováno v:
Gallium Nitride Materials and Devices XVIII.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43851fac627daedfcc39da81c12b6edd
https://doi.org/10.1117/12.2650032
https://doi.org/10.1117/12.2650032
Autor:
Jaime A. Freitas, James C. Culbertson, Jennifer K. Hite, James Gallangher, Mona Ebrish, Michael Mastro, Travis J. Anderson
Publikováno v:
ECS Meeting Abstracts. :1359-1359
Low ON-resistance and high breakdown voltage, made possible by improved critical electric field and mobility, has promoted GaN from a potential to the most promising semiconductor material for use in the next-generation of medium- and high voltage-po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2763f4b05148892e795f0cc54916ccef
https://doi.org/10.1149/ma2022-02371359mtgabs
https://doi.org/10.1149/ma2022-02371359mtgabs
Autor:
Peter J. Carlson, Michael DeBole, John V. Arthur, Myron D. Flickner, Scott Lekuch, Jeffrey L. McKinstry, Andrew S. Cassidy, Michael Mastro, Jeff Kusnitz, Brian Taba, Carmelo di Nolfo, Rathinakumar Appuswamy, Jun Sawada, Steven K. Esser, Pallab Datta, Brent Paulovicks, Klamo Jennifer, Kai Schleupen, Kevin L. Holland, Arnon Amir, Guillaume J. Garreau, Filipp Akopyan, Dharmendra S. Modha, Benjamin G. Shaw, Alexander Andreopoulos, Tapan K. Nayak, Carlos Tadeo Ortega Otero, William P. Risk
Publikováno v:
Computer. 52:20-29
IBM's brain-inspired processor is a massively parallel neural network inference engine containing 1 million spiking neurons and 256 million low-precision synapses. Now, after a decade of fundamental research spanning neuroscience, architecture, chips
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49b898399142d35f409e1c3c3bdb2c8b
https://doi.org/10.1109/mc.2019.2903009
https://doi.org/10.1109/mc.2019.2903009
Autor:
James C Gallagher, Michael Mastro, Andrew Koehler, Mona Ebrish, Alan G. Jacobs, Jennifer K. Hite, Brendan P. Gunning, Robert J. Kaplar, Karl D. Hobart, Travis J. Anderson
Publikováno v:
ECS Meeting Abstracts. :1310-1310
GaN research is important to the development of next generation power conversion technology because its large Baliga figure of merit GaN gives it the potential to outperform SiC. Presently, commercialized GaN technology is based on lateral high elect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ffebcfdf6dbe2f97e3c069793d7e572c
https://doi.org/10.1149/ma2022-01311310mtgabs
https://doi.org/10.1149/ma2022-01311310mtgabs
Autor:
Marko J. Tadjer, Fikadu Alema, Andrei Osinsky, Michael Mastro, Neeraj Nepal, Jeffrey Woodward, Rachael Myers-Ward, Evan Glaser, Jaime Freitas, Alan Jacobs, James Gallagher, Alyssa Mock, Daniel Pennachio, Jenifer Hajzus, Mona Ebrish, Travis Anderson, Karl Hobart, Jennifer Hite, Charles Eddy
Publikováno v:
Radar Sensor Technology XXV.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bdc9b51d36147be205ecad2edbed1e80
https://doi.org/10.1117/12.2588499
https://doi.org/10.1117/12.2588499
Gallium Oxide: Technology, Devices and Applications discusses the wide bandgap semiconductor and its promising applications in power electronics, solar blind UV detectors, and in extreme environment electronics. It also covers the fundamental science
Autor:
Jun Sawada, Filipp Akopyan, Andrew S. Cassidy, Brian Taba, Michael V. Debole, Pallab Datta, Rodrigo Alvarez-Icaza, Arnon Amir, John V. Arthur, Alexander Andreopoulos, Rathinakumar Appuswamy, Heinz Baier, Davis Barch, David J. Berg, Carmelo Di Nolfo, Steven K. Esser, Myron Flickner, Thomas A. Horvath, Bryan L. Jackson, Jeff Kusnitz, Scott Lekuch, Michael Mastro, Timothy Melano, Paul A. Merolla, Steven E. Millman, Tapan K. Nayak, Norm Pass, Hartmut E. Penner, William P. Risk, Kai Schleupen, Benjamin Shaw, Hayley Wu, Brian Giera, Adam T. Moody, Nathan Mundhenk, Brian C. Van Essen, Eric X. Wang, David P. Widemann, Qing Wu, William E. Murphy, Jamie K. Infantolino, James A. Ross, Dale R. Shires, Manuel M. Vindiola, Raju Namburu, Dharmendra S. Modha
Publikováno v:
SC16: International Conference for High Performance Computing, Networking, Storage and Analysis.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4eb353a85553254286eef8f2d979b3c7
https://doi.org/10.1109/sc.2016.11
https://doi.org/10.1109/sc.2016.11
Autor:
Rathinakumar Appuswamy, Roger Moussalli, Rajit Manohar, Emmett McQuinn, Andrew S. Cassidy, Christian W. Baks, Paul A. Merolla, Filipp Akopyan, John V. Arthur, Myron D. Flickner, Scott Lekuch, Michael Mastro, Brian Taba, Don Nguyen, Yutaka Nakamura, Sameh W. Asaad, Rodrigo Alvarez-Icaza, C. Haymes, Ken Inoue, Arnon Amir, Marc Gonzalez Tallada, Alexander Andreopoulos, Kai Schleupen, Steve Millman, Daniel Friedman, Steven K. Esser, Jeff Kusnitz, Jun Sawada, Ivan Vo, Bryan L. Jackson, Nabil Imam, Chen Guok, Charles Edwin Cox, Pallab Datta, Bernard Brezzo, Ralph Bellofatto, Dharmendra S. Modha, William P. Risk
Publikováno v:
SC
Drawing on neuroscience, we have developed a parallel, event-driven kernel for neurosynaptic computation, that is efficient with respect to computation, memory, and communication. Building on the previously demonstrated highly optimized software expr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6563133b16300ac2feb5a7fcb2b374a
https://doi.org/10.1109/sc.2014.8
https://doi.org/10.1109/sc.2014.8