Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Steven K, Esser"'
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:
Rathinakumar Appuswamy, Jeffrey L. McKinstry, Izzet B. Yildiz, Deepika Bablani, Dharmendra S. Modha, Steven K. Esser, John V. Arthur
Publikováno v:
EMC2@NeurIPS
To realize the promise of ubiquitous embedded deep network inference, it is essential to seek limits of energy and area efficiency. Low-precision networks offer promise as energy and area scale down quadratically with precision. We demonstrate 8- and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b13a08d72cfe1c5983b2999e938c16c
https://doi.org/10.1109/emc2-nips53020.2019.00009
https://doi.org/10.1109/emc2-nips53020.2019.00009
Autor:
Bryan L. Jackson, Filipp Akopyan, Andrew S. Cassidy, Arnon Amir, Rodrigo Alvarez-Icaza, Rajit Manohar, Steven K. Esser, Paul A. Merolla, John V. Arthur, Myron D. Flickner, Dharmendra S. Modha, Jun Sawada, Yutaka Nakamura, William P. Risk, Ivan Vo, Bernard Brezzo, Rathinakumar Appuswamy, Brian Taba, Nabil Imam, Chen Guo
Publikováno v:
Science. 345:668-673
Modeling computer chips on real brains Computers are nowhere near as versatile as our own brains. Merolla et al. applied our present knowledge of the structure and function of the brain to design a new computer chip that uses the same wiring rules an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ddea8d132ab672af1b9c3e153f9189a8
https://doi.org/10.1126/science.1254642
https://doi.org/10.1126/science.1254642
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:
Andrew S. Cassidy, Carmelo di Nolfo, David Berg, Brian Taba, Paul A. Merolla, Pallab Datta, John V. Arthur, Myron D. Flickner, Jeffrey L. McKinstry, Rathinakumar Appuswamy, Arnon Amir, Steven K. Esser, Alexander Andreopoulos, R Davis, Dharmendra S. Modha, Timothy Melano
Deep networks are now able to achieve human-level performance on a broad spectrum of recognition tasks. Independently, neuromorphic computing has now demonstrated unprecedented energy-efficiency through a new chip architecture based on spiking neuron
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9053823adca098d05381183eb15f2b06
http://arxiv.org/abs/1603.08270
http://arxiv.org/abs/1603.08270
Autor:
Anthony Ndirango, Steven K. Esser, Anthony J. Sherbondy, Rajagopal Ananthanarayanan, Raghavendra Singh, Dharmendra S. Modha
Publikováno v:
Communications of the ACM. 54:62-71
Unite neuroscience, supercomputing, and nanotechnology to discover, demonstrate, and deliver the brain's core algorithms.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f837b9a0b93093dd52ee4e3328e3e24
https://doi.org/10.1145/1978542.1978559
https://doi.org/10.1145/1978542.1978559
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
Autor:
Paul A, Merolla, John V, Arthur, Rodrigo, Alvarez-Icaza, Andrew S, Cassidy, Jun, Sawada, Filipp, Akopyan, Bryan L, Jackson, Nabil, Imam, Chen, Guo, Yutaka, Nakamura, Bernard, Brezzo, Ivan, Vo, Steven K, Esser, Rathinakumar, Appuswamy, Brian, Taba, Arnon, Amir, Myron D, Flickner, William P, Risk, Rajit, Manohar, Dharmendra S, Modha
Publikováno v:
Science (New York, N.Y.). 345(6197)
Inspired by the brain's structure, we have developed an efficient, scalable, and flexible non-von Neumann architecture that leverages contemporary silicon technology. To demonstrate, we built a 5.4-billion-transistor chip with 4096 neurosynaptic core
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::ff3b4f0788916d4da43b50530d3f8079
https://pubmed.ncbi.nlm.nih.gov/25104367
https://pubmed.ncbi.nlm.nih.gov/25104367
Autor:
Robert Preissl, Theodore M. Wong, Pallab Datta, Myron Flickner, Raghavendra Singh, Steven K. Esser, William P. Risk, Horst D. Simon, Dharmendra S. Modha
Publikováno v:
2012 International Conference for High Performance Computing, Networking, Storage and Analysis.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6899df69463bf7a159956fe110e8cc21
https://doi.org/10.1109/sc.2012.34
https://doi.org/10.1109/sc.2012.34
Autor:
Andrew S. Cassidy, Shyamal Suhana Chandra, Rajit Manohar, Dharmendra S. Modha, Filipp Akopyan, William P. Risk, Rodrigo Alvarez, Steven K. Esser, Paul A. Merolla, John V. Arthur, Daniel D Ben Dayan Rubin, Nabil Imam
Publikováno v:
IJCNN
The grand challenge of neuromorphic computation is to develop a flexible brain-inspired architecture capable of a wide array of real-time applications, while striving towards the ultra-low power consumption and compact size of biological neural syste
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f040dc892d52ad10c6121f88ed3a831
https://zenodo.org/record/1273325
https://zenodo.org/record/1273325