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Corey Adams
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2020 – today
- 2023
- [c3]Khalid Hossain, Riccardo Balin, Corey Adams, Thomas D. Uram, Kalyan Kumaran, Venkatram Vishwanath, Tanima Dey, Subrata Goswami, Janghaeng Lee, Rebecca Ramer, Koichi Yamada:
Demonstration of Portable Performance of Scientific Machine Learning on High Performance Computing Systems. SC Workshops 2023: 644-647 - 2021
- [j2]Murali Emani, Venkatram Vishwanath, Corey Adams, Michael E. Papka, Rick Stevens, Laura Florescu, Sumti Jairath, William Liu, Tejas Nama, Arvind Sujeeth, Volodymyr V. Kindratenko, Anne C. Elster:
Accelerating Scientific Applications With SambaNova Reconfigurable Dataflow Architecture. Comput. Sci. Eng. 23(2): 114-119 (2021) - [j1]R. Acciarri, Corey Adams, C. Andreopoulos, J. Asaadi, M. Babicz, C. Backhouse, W. Badgett, L. Bagby, D. Barker, V. Basque, M. C. Q. Bazetto, M. Betancourt, A. Bhanderi, A. Bhat, C. Bonifazi, D. Brailsford, A. G. Brandt, T. Brooks, M. F. Carneiro, Y. Chen, H. Chen, G. Chisnall, J. I. Crespo-Anadón, E. Cristaldo, C. Cuesta, I. L. de Icaza Astiz, A. De Roeck, G. de Sá Pereira, M. Del Tutto, Vito Di Benedetto, A. Ereditato, J. J. Evans, A. C. Ezeribe, R. S. Fitzpatrick, B. T. Fleming, W. Foreman, D. Franco, I. Furic, A. P. Furmanski, S. Gao, D. Garcia-Gamez, H. Frandini, G. Ge, I. Gil-Botella, S. Gollapinni, O. Goodwin, P. Green, W. C. Griffith, R. Guenette, P. Guzowski, T. Ham, J. Henzerling, A. Holin, B. Howard, R. S. Jones, D. Kalra, G. Karagiorgi, L. Kashur, W. Ketchum, M. J. Kim, V. A. Kudryavtsev, J. Larkin, H. Lay, I. Lepetic, B. R. Littlejohn, W. C. Louis, A. A. Machado, M. Malek, D. Mardsen, Camillo Mariani, F. Marinho, A. Mastbaum, K. Mavrokoridis, N. McConkey, V. Meddage, D. P. Méndez, Thomas Mettler, K. Mistry, A. Mogan, J. Molina, M. Mooney, L. Mora, C. A. Moura, Joel Mousseau, A. Navrer-Agasson, F. J. Nicolas-Arnaldos, Jaroslaw A. Nowak, O. Palamara, V. Pandey, J. Pater, L. Paulucci, V. L. Pimentel, F. Psihas, G. Putnam, X. Qian, E. Raguzin, H. Ray, M. Reggiani-Guzzo, D. Rivera, M. Roda, M. Ross-Lonergan, G. Scanavini, A. Scarff, D. W. Schmitz, A. Schukraft, E. Segreto, M. Soares Nunes, M. Soderberg, S. Söldner-Rembold, J. Spitz, N. J. C. Spooner, M. Stancari, G. V. Stenico, A. Szelc, W. Tang, J. Tena Vidal, D. Torretta, M. Toups, C. Touramanis, M. Tripathi, S. Tufanli, E. Tyley, G. A. Valdiviesso, E. Worcester, M. Worcester, G. Yarbrough, J. Yu, Bruno Zamorano, J. Zennamo, A. Zglam:
Cosmic Ray Background Removal With Deep Neural Networks in SBND. Frontiers Artif. Intell. 4: 649917 (2021) - [c2]Alexander Brace, Michael Salim, Vishal Subbiah, Heng Ma, Murali Emani, Anda Trifan, Austin R. Clyde, Corey Adams, Thomas D. Uram, Hyun Seung Yoo, Andew Hock, Jessica Liu, Venkatram Vishwanath, Arvind Ramanathan:
Stream-AI-MD: streaming AI-driven adaptive molecular simulations for heterogeneous computing platforms. PASC 2021: 6:1-6:13 - 2020
- [i2]Corey Adams, Kazuhiro Terao, Taritree Wongjirad:
PILArNet: Public Dataset for Particle Imaging Liquid Argon Detectors in High Energy Physics. CoRR abs/2006.01993 (2020)
2010 – 2019
- 2019
- [c1]Wushi Dong, Nicola J. Ferrier, Narayanan Kasthuri, Peter Littlewood, Murat Keçeli, Rafael Vescovi, Hanyu Li, Corey Adams, Elise Jennings, Samuel Flender, Thomas D. Uram, Venkatram Vishwanath:
Scaling Distributed Training of Flood-Filling Networks on HPC Infrastructure for Brain Mapping. DLS@SC 2019: 52-61 - [i1]Wushi Dong, Murat Keçeli, Rafael Vescovi, Hanyu Li, Corey Adams, Thomas D. Uram, Venkatram Vishwanath, Bobby Kasthuri, Nicola J. Ferrier, Peter Littlewood:
Scaling Distributed Training of Flood-Filling Networks on HPC Infrastructure for Brain Mapping. CoRR abs/1905.06236 (2019)
Coauthor Index
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