Zobrazeno 1 - 10
of 283
pro vyhledávání: '"William J. Dally"'
Publikováno v:
IEEE Transactions on Industrial Electronics. 70:4751-4761
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e798043adc00742b35cdac3cc178c280
https://doi.org/10.1109/tie.2022.3187581
https://doi.org/10.1109/tie.2022.3187581
Autor:
Ben Keller, Rangharajan Venkatesan, Steve Dai, Stephen G. Tell, Brian Zimmer, Charbel Sakr, William J. Dally, C. Thomas Gray, Brucek Khailany
Publikováno v:
IEEE Journal of Solid-State Circuits. 58:1129-1141
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5b2c9d1cf5a0ad06ec1455e47d78c09
https://doi.org/10.1109/jssc.2023.3234893
https://doi.org/10.1109/jssc.2023.3234893
Autor:
William J. Dally
Publikováno v:
GetMobile: Mobile Computing and Communications. 25:12-18
A mechanical ventilator keeps a patient with respiratory failure alive by pumping precisely controlled amounts of air (or an air/O2 mixture) at controlled pressure into the patient's lungs [3, 5]. During intake (inspiration), the ventilator meters th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2fe802cae1a3aca31f952f36a02c8f1
https://doi.org/10.1145/3529706.3529710
https://doi.org/10.1145/3529706.3529710
Publikováno v:
IEEE Micro. 41:42-51
Graphics processing units (GPUs) power today’s fastest supercomputers, are the dominant platform for deep learning, and provide the intelligence for devices ranging from self-driving cars to robots and smart cameras. They also generate compelling p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c1dad7fb4843e45e76e1483917573e3
https://doi.org/10.1109/mm.2021.3113475
https://doi.org/10.1109/mm.2021.3113475
Autor:
Peter M. Kogge, William J. Dally
Publikováno v:
2022 IEEE/ACM International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::666ea126c8f74f9f883014bbc6f0454d
https://doi.org/10.1109/pmbs56514.2022.00008
https://doi.org/10.1109/pmbs56514.2022.00008
Autor:
Yoshinori Nishi, John W. Poulton, Walker J. Turner, Xi Chen, Sanquan Song, Brian Zimmer, Stephen G. Tell, Nikola Nedovic, John M. Wilson, William J. Dally, C. Thomas Gray
Publikováno v:
2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b073895224567cb6ac5cc709f4ada51
https://doi.org/10.1109/vlsitechnologyandcir46769.2022.9830174
https://doi.org/10.1109/vlsitechnologyandcir46769.2022.9830174
Autor:
Ben Keller, Rangharajan Venkatesan, Steve Dai, Stephen G. Tell, Brian Zimmer, William J. Dally, C. Thomas Gray, Brucek Khailany
Publikováno v:
2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d48b2207079983682c24a3c76b8fd5f8
https://doi.org/10.1109/vlsitechnologyandcir46769.2022.9830277
https://doi.org/10.1109/vlsitechnologyandcir46769.2022.9830277
Autor:
Steve Dai, Ben Keller, William J. Dally, Brucek Khailany, Rangharajan Venkatesan, Alicia Klinefelter, Robert M. Kirby, Saad Godil, Yanqing Zhang, Haoxing Ren, Bryan Catanzaro
Publikováno v:
IEEE Micro. 40:23-32
Recent advancements in machine learning provide an opportunity to transform chip design workflows. We review recent research applying techniques such as deep convolutional neural networks and graph-based neural networks in the areas of automatic desi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f7f1c5882e4345716cd5f17141ae3f1
https://doi.org/10.1109/mm.2020.3026231
https://doi.org/10.1109/mm.2020.3026231
Publikováno v:
Communications of the ACM. 63:48-57
DSAs gain efficiency from specialization and performance from parallelism.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10c16da195141352787b1d2ccb39b043
https://doi.org/10.1145/3361682
https://doi.org/10.1145/3361682
Autor:
Joel Emer, Matthew Fojtik, C. Thomas Gray, Ben Keller, Stephen G. Tell, Priyanka Raina, Stephen W. Keckler, Alicia Klinefelter, William J. Dally, Brucek Khailany, Brian Zimmer, Jason Clemons, Rangharajan Venkatesan, Nan Jiang, Yanqing Zhang, Nathaniel Pinckney, Yakun Sophia Shao
Publikováno v:
IEEE Journal of Solid-State Circuits. 55:920-932
Custom accelerators improve the energy efficiency, area efficiency, and performance of deep neural network (DNN) inference. This article presents a scalable DNN accelerator consisting of 36 chips connected in a mesh network on a multi-chip-module (MC
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ece7623ba975846ccab654fbbe909096
https://doi.org/10.1109/jssc.2019.2960488
https://doi.org/10.1109/jssc.2019.2960488