Jack Deslippe
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
1
Active years
2014–2024
Best venue rank
A
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | SC | Optimizing MILC-Dslash Performance on NVIDIA A100 GPU: Parallel Strategies using SYCL. | Amanda S. Dufek, Steven A. Gottlieb, Muaaz Gul Awan, Douglas Adriano Augusto, Jack Deslippe, Brandon Cook |
| 2024 | SC | Performance Modeling and Analysis of a de Bruijn Graph Based Local Assembly Kernel on Multiple Vendor GPUs. | LeAnn M. Lindsey, Nan Ding, Jack Deslippe, Muaaz Awan |
| 2021 | SC | Accelerating large scale | Muaaz Gul Awan, Steven Hofmeyr, Rob Egan, Nan Ding, Aydin Bulu, Jack Deslippe, Leonid Oliker, Katherine A. Yelick |
| 2020 | SC | Accelerating large-scale excited-state GW calculations on leadership HPC systems. | Mauro Del Ben, Charlene Yang, Zhenglu Li, Felipe H. da Jornada, Steven G. Louie, Jack Deslippe |
| 2020 | SC | Evaluating Performance Portability of OpenMP for SNAP on NVIDIA, Intel, and AMD GPUs Using the Roofline Methodology. | Neil A. Mehta, Rahulkumar Gayatri, Yasaman Ghadar, Christopher Knight, Jack Deslippe |
| 2019 | SC | Consensus equilibrium framework for super-resolution and extreme-scale CT reconstruction. | Xiao Wang, Venkatesh Sridhar, Zahra Ronaghi, Rollin C. Thomas, Jack Deslippe, Dilworth Parkinson, Gregery T. Buzzard, Samuel P. Midkiff, Charles A. Bouman, Simon K. Warfield |
| 2019 | SC | Comparing Managed Memory and ATS with and without Prefetching on NVIDIA Volta GPUs. | Rahulkumar Gayatri, Kevin Gott, Jack Deslippe |
| 2019 | SC | Performance Portability of a Wilson Dslash Stencil Operator Mini-App Using Kokkos and SYCL. | Blint Jo, Thorsten Kurth, Michael A. Clark, Jeongnim Kim, Christian Robert Trott, Dan Ibanez, Daniel Sunderland, Jack Deslippe |
| 2018 | SC | A Metric for Evaluating Supercomputer Performance in the Era of Extreme Heterogeneity. | Brian Austin, Christopher S. Daley, Douglas Doerfler, Jack Deslippe, Brandon Cook, Brian Friesen, Thorsten Kurth, Charlene Yang, Nicholas J. Wright |
| 2018 | SC | A Case Study for Performance Portability Using OpenMP 4.5. | Rahulkumar Gayatri, Charlene Yang, Thorsten Kurth, Jack Deslippe |
| 2018 | SC | Exascale deep learning for climate analytics. | Thorsten Kurth, Sean Treichler, Joshua Romero, Mayur Mudigonda, Nathan Luehr, Everett H. Phillips, Ankur Mahesh, Michael A. Matheson, Jack Deslippe, Massimiliano Fatica, Prabhat, Michael Houston |
| 2017 | SC | Galactos: computing the anisotropic 3-point correlation function for 2 billion galaxies. | Brian Friesen, Md. Mostofa Ali Patwary, Brian Austin, Nadathur Satish, Zachary Slepian, Narayanan Sundaram, Deborah Bard, Daniel J. Eisenstein, Jack Deslippe, Pradeep Dubey, Prabhat |
| 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 |
| 2017 | SC | Python in the NERSC Exascale Science Applications Program for Data. | Zahra Ronaghi, Rollin C. Thomas, Jack Deslippe, Stephen Bailey, Doga Grsoy, Theodore Kisner, Reijo Keskitalo, Julian Borrill |
| 2016 | SC | Evaluating and Optimizing the NERSC Workload on Knights Landing. | Taylor Barnes, Brandon Cook, Jack Deslippe, Douglas Doerfler, Brian Friesen, Yun (Helen) He, Thorsten Kurth, Tuomas Koskela, Mathieu Lobet, Tareq M. Malas, Leonid Oliker, Andrey Ovsyannikov, Abhinav Sarje, Jean-Luc Vay, Henri Vincenti, Samuel Williams, Pierre Carrier, Nathan Wichmann, Marcus Wagner, Paul R. C. Kent, Christopher Kerr, John M. Dennis |
| 2014 | SC | Workflow management for real-time analysis of lightsource experiments. | Jack Deslippe, Abdelilah Essiari, Simon J. Patton, Taghrid Samak, Craig E. Tull, Alexander Hexemer, Dinesh Kumar, Dilworth Parkinson, Polite Stewart |