Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Tom St John"'
Autor:
Lyn R. Frumkin, Michaela Lucas, Curtis L. Scribner, Nastassja Ortega-Heinly, Jayden Rogers, Gang Yin, Trevor J. Hallam, Alice Yam, Kristin Bedard, Rebecca Begley, Courtney A. Cohen, Catherine V. Badger, Shawn A. Abbasi, John M. Dye, Brian McMillan, Michael Wallach, Traci L. Bricker, Astha Joshi, Adrianus C. M. Boon, Suman Pokhrel, Benjamin R. Kraemer, Lucia Lee, Stephen Kargotich, Mahima Agochiya, Tom St. John, Daria Mochly-Rosen
Publikováno v:
Frontiers in Immunology, Vol 13 (2022)
COVID-19 emergency use authorizations and approvals for vaccines were achieved in record time. However, there remains a need to develop additional safe, effective, easy-to-produce, and inexpensive prevention to reduce the risk of acquiring SARS-CoV-2
Externí odkaz:
https://doaj.org/article/f9a71f4c09c643bcb9dfa4ae37d246f0
Autor:
Tom St. John, Vijay Janapa Reddi
Publikováno v:
Artificial Intelligence for Science ISBN: 9789811265662
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::367c6e3ec0e762ebd4cc97be38c7bb79
https://doi.org/10.1142/9789811265679_0035
https://doi.org/10.1142/9789811265679_0035
Autor:
Lyn R Frumkin, Michaela Lucas, Michael Wallach, Curtis L Scribner, Tom St John, Daria Mochly-Rosen
Publikováno v:
Journal of global health. 12
Autor:
Steven Farrell, Murali Emani, Jacob Balma, Lukas Drescher, Aleksandr Drozd, Andreas Fink, Geoffrey Fox, David Kanter, Thorsten Kurth, Peter Mattson, Dawei Mu, Amit Ruhela, Kento Sato, Koichi Shirahata, Tsuguchika Tabaru, Aristeidis Tsaris, Jan Balewski, Ben Cumming, Takumi Danjo, Jens Domke, Takaaki Fukai, Naoto Fukumoto, Tatsuya Fukushi, Balazs Gerofi, Takumi Honda, Toshiyuki Imamura, Akihiko Kasagi, Kentaro Kawakami, Shuhei Kudo, Akiyoshi Kuroda, Maxime Martinasso, Satoshi Matsuoka, Henrique Mendonca, Kazuki Minami, Prabhat Ram, Takashi Sawada, Mallikarjun Shankar, Tom St. John, Akihiro Tabuchi, Venkatram Vishwanath, Mohamed Wahib, Masafumi Yamazaki, Junqi Yin
Scientific communities are increasingly adopting machine learning and deep learning models in their applications to accelerate scientific insights. High performance computing systems are pushing the frontiers of performance with a rich diversity of h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1d0a43c2f3602f2bf9c531d477eabaf
http://arxiv.org/abs/2110.11466
http://arxiv.org/abs/2110.11466
Autor:
Mark Charlebois, Dave Fick, Sachin Satish Idgunji, Yuchen Zhou, Michael Thomson, Ashish Sirasao, George Yuan, Anton Lokhmotov, Koichi Yamada, Tom St. John, Bing Yu, Jeff Jiao, Arun Tejusve Raghunath Rajan, Paulius Micikevicius, Ephrem C. Wu, Francisco Massa, Carole-Jean Wu, Hanlin Tang, David Lee, William Chou, Frank Wei, Jared Duke, Cody Coleman, Sam Davis, Jeffery Liao, Itay Hubara, Dilip Sequeira, Lingjie Xu, Pan Deng, Vijay Janapa Reddi, Guenther Schmuelling, Gennady Pekhimenko, Maximilien Breughe, Peng Meng, Greg Diamos, David Kanter, Colin Osborne, Thomas B. Jablin, Peizhao Zhang, Fei Sun, Pankaj Kanwar, Ramesh Chukka, J. Scott Gardner, Aaron Zhong, Christine Cheng, Peter Mattson, Brian M. Anderson
Publikováno v:
ISCA
Machine-learning (ML) hardware and software system demand is burgeoning. Driven by ML applications, the number of different ML inference systems has exploded. Over 100 organizations are building ML inference chips, and the systems that incorporate ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a2417894de20d08d29ba667a4080f9a
Autor:
John Abercrombie, Jacob Nelson, Jeff R. Hammond, Rob F. Van der Wijngaart, Gabriele Jost, Abdullah Kayi, Timothy G. Mattson, Tom St. John, Srinivas Sridharan
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319413204
We use three Parallel Research Kernels to compare performance of a set of programming models(We employ the term programming model as it is commonly used in the application community. A more accurate term is programming environment, which is the colle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45590a49eb379b1117a6cc075dee8208
https://doi.org/10.1007/978-3-319-41321-1_17
https://doi.org/10.1007/978-3-319-41321-1_17
Autor:
Tom St. John, Andres Marquez, Shuaiwen Leon Song, Benoit Meister, Guang R. Gao, Joseph Manzano, Sunil Shrestha
Publikováno v:
ICPADS
With Exascale performance and its challenges in mind, one ubiquitous concern among architects is energy efficiency. Petascale systems projected to Exascale systems are unsustainable at current power consumption rates. One major contributor to system-