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Jacob Balma
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Conference and Workshop Papers
- 2021
- [c5]Steven Farrell, Murali Emani, Jacob Balma
, Lukas Drescher, Aleksandr Drozd, Andreas Fink, Geoffrey C. 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 Mendonça, Kazuki Minami, Prabhat Ram, Takashi Sawada, Mallikarjun Shankar, Tom St. John, Akihiro Tabuchi, Venkatram Vishwanath, Mohamed Wahib, Masafumi Yamazaki, Junqi Yin
:
MLPerf™ HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems. MLHPC@SC 2021: 33-45 - [c4]Sreenivas R. Sukumar
, Jacob Balma
, Cong Xu, Sergey Serebryakov
:
Survival of the Fittest Amidst the Cambrian Explosion of Processor Architectures for Artificial Intelligence : Invited Paper. PEHC@SC 2021: 34-43 - [c3]Sreenivas R. Sukumar
, Jacob A. Balma, Christopher D. Rickett, Kristyn J. Maschhoff, Joseph Landman, Charles R. Yates, Amar G. Chittiboyina
, Yuri K. Peterson, Aaron Vose, Kendall G. Byler, Jérôme Baudry, Ikhlas A. Khan:
The Convergence of HPC, AI and Big Data in Rapid-Response to the COVID-19 Pandemic. SMC 2021: 157-172 - 2020
- [c2]Jacob Balma
, Aaron D. Vose, Yuri K. Peterson, Amar G. Chittiboyina
, Pankaj Pandey
, Charles R. Yates, Ikhlas A. Khan, Sreenivas R. Sukumar
:
Deep Learning Predicts Protein-Ligand Interactions. IEEE BigData 2020: 5627-5629 - 2019
- [c1]Sudheer Chunduri
, Taylor L. Groves
, Peter Mendygral, Brian Austin, Jacob Balma
, Krishna Kandalla, Kalyan Kumaran, Glenn K. Lockwood
, Scott Parker, Steven Warren, Nathan Wichmann, Nicholas J. Wright
:
GPCNeT: designing a benchmark suite for inducing and measuring contention in HPC networks. SC 2019: 42:1-42:33
Informal and Other Publications
- 2021
- [i3]Steven Farrell, Murali Emani, Jacob Balma, Lukas Drescher, Aleksandr Drozd, Andreas Fink, Geoffrey C. 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 Mendonça, Kazuki Minami, Prabhat Ram, Takashi Sawada, Mallikarjun Shankar, Tom St. John, Akihiro Tabuchi, Venkatram Vishwanath, Mohamed Wahib, Masafumi Yamazaki, Junqi Yin:
MLPerf HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems. CoRR abs/2110.11466 (2021) - 2019
- [i2]Aaron Vose, Jacob Balma
, Alex Heye, Alessandro Rigazzi, Charles Siegel, Diana Moise, Benjamin Robbins, Rangan Sukumar:
Recombination of Artificial Neural Networks. CoRR abs/1901.03900 (2019) - [i1]Aaron D. Vose, Jacob Balma
, Damon Farnsworth, Kaylie Anderson, Yuri K. Peterson:
PharML.Bind: Pharmacologic Machine Learning for Protein-Ligand Interactions. CoRR abs/1911.06105 (2019)
Coauthor Index
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