Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Gangotree Chakma"'
Autor:
Chris Hobbs, Martin Rodgers, Wilkie Olin-Ammentorp, Joseph E. Van Nostrand, Nathaniel C. Cady, Garrett S. Rose, Gangotree Chakma, Karsten Beckmann, Sherif Amer
Publikováno v:
ACM Journal on Emerging Technologies in Computing Systems. 16:1-18
Resistive Random Access Memory (ReRAM), a form of non-volatile memory, has been proposed as a Flash memory replacement. In addition, novel circuit architectures have been proposed that rely on newly discovered or predicted behavior of ReRAM. One such
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4eda4d334cbc54b397523de6502a6764
https://doi.org/10.1145/3381859
https://doi.org/10.1145/3381859
Autor:
Thomas E. Potok, Robert M. Patton, Federico M. Spedalieri, Garrett S. Rose, Ke-Thia Yao, Catherine D. Schuman, Jeremy Liu, Steven R. Young, Gangotree Chakma
Publikováno v:
ACM Journal on Emerging Technologies in Computing Systems. 14:1-21
Current deep learning approaches have been very successful using convolutional neural networks trained on large graphical-processing-unit-based computers. Three limitations of this approach are that (1) they are based on a simple layered network topo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca4a6bff557c5544299f73d270b4f146
https://doi.org/10.1145/3178454
https://doi.org/10.1145/3178454
Autor:
Gangotree Chakma, Austin Wyer, Ryan J. Weiss, Musabbir Adnan, Garrett S. Rose, Catherine D. Schuman
Publikováno v:
IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 8:125-136
Neuromorphic computing is non-von Neumann computer architecture for the post Moore’s law era of computing. Since a main focus of the post Moore’s law era is energy-efficient computing with fewer resources and less area, neuromorphic computing con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d76c2c997c80dbb2edd123e6c00d1c7
https://doi.org/10.1109/jetcas.2017.2777181
https://doi.org/10.1109/jetcas.2017.2777181
Publikováno v:
ICECS
Several researchers have proposed that random noise in highly non-linear biological systems helps with learning and information processing. Neuromorphic systems could potentially harness the computational power of such biological systems by utilizing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd169f73076e189afebc706c24e0668b
https://doi.org/10.1109/icecs46596.2019.8965057
https://doi.org/10.1109/icecs46596.2019.8965057
Autor:
Gangotree Chakma, Shaan Awasthi
Publikováno v:
IEEE BigData
Memory and Central Processing Units (CPU) are the primary computing resources for any circuit simulation job. Speed, efficiency and performance of these jobs depends on how the resources in the server farm are leveraged and optimized. But depending o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::410a66ab060e695d5e441b1215b2f4a7
https://doi.org/10.1109/bigdata.2018.8622474
https://doi.org/10.1109/bigdata.2018.8622474
Autor:
Nicholas D. Skuda, Mark Edward Dean, Gangotree Chakma, Garrett S. Rose, Catherine D. Schuman, James S. Plank
Publikováno v:
ACM Great Lakes Symposium on VLSI
Resource constrained devices are the building blocks of the internet of things (IoT) era. Since the idea behind IoT is to develop an interconnected environment where the devices are tiny enough to operate with limited resources, several control syste
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c40030ad12ed7656a066a2b487bbcf99
https://doi.org/10.1145/3194554.3194611
https://doi.org/10.1145/3194554.3194611
Publikováno v:
ISCAS
Neuromorphic computing systems are alternatives to conventional microprocessors, often built from unconventional hardware. Designing and evaluating these systems requires multiple levels of simulation, from the device level to the circuit level to th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d2a23f66588b3d9101088e64af480fa
https://doi.org/10.1109/iscas.2018.8351840
https://doi.org/10.1109/iscas.2018.8351840
Autor:
James S. Plank, Nouamane Laanait, Austin Wyer, Catherine D. Schuman, Grant Bruer, Garrett S. Rose, Gangotree Chakma
Publikováno v:
NANOCOM
Neuromorphic computing is a promising post-Moore's law era technology. A wide variety of neuromorphic computer (NC) architectures have emerged in recent years, ranging from traditional fully digital CMOS to nanoscale implementations with novel, beyon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab4a0e8cd9351b59180b08fa0ba1fa43
https://doi.org/10.1145/3109453.3123958
https://doi.org/10.1145/3109453.3123958
Publikováno v:
MWSCAS
In this paper we present circuit techniques to optimize analog neurons specifically for operation in memristive neuromorphic systems. Since the peripheral circuits and control signals of the system are digital in nature, we take a mixed-signal circui
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7ca4ea7447e470fe880a5f3c5b8d24b
https://doi.org/10.1109/mwscas.2017.8052935
https://doi.org/10.1109/mwscas.2017.8052935
Publikováno v:
MWSCAS
In this paper we present a memristive neuromorphic system for higher power and area efficiency. The system is based on a mixed signal approach considering the digital nature of the peripheral and control logics and the integration being analog. So, t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7613a74da35ffaeec832ab35b231394e
https://doi.org/10.1109/mwscas.2017.8052981
https://doi.org/10.1109/mwscas.2017.8052981