Wahid Bhimji
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
6
Venues
2
Active years
2016–2024
Best venue rank
A
Where they publish
Papers
6 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | SC | Comprehensive Performance Modeling and System Design Insights for Foundation Models. | Shashank Subramanian, Ermal Rrapaj, Peter Harrington, Smeet Chheda, Steven Farrell, Brian Austin, Samuel Williams, Nicholas J. Wright, Wahid Bhimji |
| 2023 | SC | High-level GPU code: a case study examining JAX and OpenMP. | Nestor Demeure, Theodore Kisner, Reijo Keskitalo, Rollin C. Thomas, Julian Borrill, Wahid Bhimji |
| 2019 | SC | Etalumis: bringing probabilistic programming to scientific simulators at scale. | Atilim Gnes Baydin, Lei Shao, Wahid Bhimji, Lukas Heinrich, Lawrence Meadows, Jialin Liu, Andreas Munk, Saeid Naderiparizi, Bradley Gram-Hansen, Gilles Louppe, Mingfei Ma, Xiaohui Zhao, Philip H. S. Torr, Victor W. Lee, Kyle Cranmer, Prabhat, Frank Wood |
| 2018 | ICMLA | Graph Neural Networks for IceCube Signal Classification. | Nicholas Choma, Federico Monti, Lisa Gerhardt, Tomasz Palczewski, Zahra Ronaghi, Prabhat, Wahid Bhimji, Michael M. Bronstein, Spencer R. Klein, Joan Bruna |
| 2017 | SC | Deep learning at 15PF: supervised and semi-supervised classification for scientific data. | Thorsten Kurth, Jian Zhang, Nadathur Satish, Evan Racah, Ioannis Mitliagkas, Md. Mostofa Ali Patwary, Tareq M. Malas, Narayanan Sundaram, Wahid Bhimji, Mikhail Smorkalov, Jack Deslippe, Mikhail Shiryaev, Srinivas Sridharan, Prabhat, Pradeep Dubey |
| 2016 | ICMLA | Revealing Fundamental Physics from the Daya Bay Neutrino Experiment Using Deep Neural Networks. | Evan Racah, Seyoon Ko, Peter J. Sadowski, Wahid Bhimji, Craig Tull, Sang-Yun Oh, Pierre Baldi, Prabhat |