Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Kai Schleupen"'
Autor:
Evan G. Colgan, Kai Schleupen, Phillip Mann, Robert P. Kuder, Jae-Woong Nah, Katsuyuki Sakuma, Victor Alvarez, Lavanya Turlapati, Danny C. Wong, Stanislav Lukashov, Steve Cordes, James L. Speidell
Publikováno v:
IEEE Transactions on Components, Packaging and Manufacturing Technology. 13:472-480
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
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.
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
Publikováno v:
SID Symposium Digest of Technical Papers. 31:1108-1111
Autor:
D. Maze, Catherine H. Crawford, Hubertus Franke, Davide Pasetto, Hartmut Penner, Mark Purcell, Kai Schleupen, Heather D. Achilles
Publikováno v:
SBESC
Increasing demands on end-to-end solution performance has lead to a generation of workload optimized systems and appliances, with tightly integrated hardware and software delivering substantial improvements over general purpose architectures. Among t
Autor:
Hartmut Penner, Mark Richard Nutter, Kay Müller, Ken Inoue, Kai Schleupen, Scott Lekuch, J. Xenidis, J. Aylward, Catherine H. Crawford
Publikováno v:
ReConFig
In this paper we provide a detailed description of a Field Programmable Gate Array (FPGA) based reconfigurable system which has been used in the development of a System on a Chip (SoC) processor and corresponding applications targeted for network com
Publikováno v:
Journal of the Society for Information Display. 14:331
Autor:
Tom Minyard, Kai Schleupen, Ron Woodward, Etta D. Pisano, Steve Wright, Jasjit S. Suri, Susan Coley, Roman Janer, Ananth Poolla, Ehsan Samei
Publikováno v:
SID Symposium Digest of Technical Papers. 36:196
This paper presents a closer look on the link between the physical parameters (MTF and NPS) that characterize the performance of a liquid crystal display (LCD) and the architecture that generates the images. Understanding the major architectural diff
Autor:
Susan Coley, Roman Janer, Ananth Poolla, Ehsan Samei, Jasjit S. Suri, Etta D. Pisano, Tom Minyard, Kai Schleupen, Yajie Sun, Ron Woodward, Yujun Guo, Steve Wright
Publikováno v:
SID Symposium Digest of Technical Papers. 36:368
The latest technological changes are fast replacing the conventional cathode ray tube (CRT) displays with liquid crystal displays (LCDs). It is thus important to understand and evaluate them. The novelty of our evaluation strategy comes from the usag