EDBT 2026 Demo / reviewers in the wild / expert
Oksana Guba
dblp:89/9126
· DBLP profile ↗
2ranked-venue papers
0as first author
1since 2021 · last 2023
0000-0001-7242-7001ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 2 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer architecture, parallel and distributed computing, and storage systems
2 papers |
High-performance computing · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Environmental and earth informatics · 100% |
Topics — the 7 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
High-performance computing › scientific computing systems
climate modeling |
0.7 | 1 | 2023 | The Simple Cloud-Resolving E3SM Atmosphere Model Running on the Frontier Exascale System · SC 2023 |
High-performance computing › supercomputing
exascale computing |
0.7 | 1 | 2023 | The Simple Cloud-Resolving E3SM Atmosphere Model Running on the Frontier Exascale System · SC 2023 |
High-performance computing › scientific computing systems
atmospheric modeling |
0.4 | 1 | 2020 | A performance-portable nonhydrostatic atmospheric dycore for the energy exascale earth system model running at cloud-resolving resolutions · SC 2020 |
High-performance computing
performance optimization at scale |
0.4 | 1 | 2020 | A performance-portable nonhydrostatic atmospheric dycore for the energy exascale earth system model running at cloud-resolving resolutions · SC 2020 |
High-performance computing › performance engineering
performance portability |
0.4 | 1 | 2020 | A performance-portable nonhydrostatic atmospheric dycore for the energy exascale earth system model running at cloud-resolving resolutions · SC 2020 |
High-performance computing
scientific computing systems |
0.4 | 1 | 2020 | A performance-portable nonhydrostatic atmospheric dycore for the energy exascale earth system model running at cloud-resolving resolutions · SC 2020 |
Environmental and earth informatics
atmospheric modeling |
0.2 | 1 | 2023 | The Simple Cloud-Resolving E3SM Atmosphere Model Running on the Frontier Exascale System · SC 2023 |
Methods — techniques the papers use, named apart from their topics
kokkos · 0.4c++ refactoring · 0.4GPU acceleration · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | The Simple Cloud-Resolving E3SM Atmosphere Model Running on the Frontier Exascale System
Peter M. Caldwell, Luca Bertagna, Conrad Clevenger, Aaron Donahue, James G. Foucar, Oksana Guba, Benjamin R. Hillman, Noel Keen, Jayesh Krishna, Matthew R. Norman, Sarat Sreepathi, Christopher Terai, James B. White III, Andrew G. Salinger, Renata B. McCoy, L. Ruby Leung, David C. Bader, Danqing Wu |
SC | 7 |
| 2020 | A performance-portable nonhydrostatic atmospheric dycore for the energy exascale earth system model running at cloud-resolving resolutionsabstractWe present an effort to port the nonhydrostatic atmosphere dynamical core of the Energy Exascale Earth System Model (E3SM) to efficiently run on a variety of architectures, including conventional CPU, many-core CPU, and GPU. We specifically target cloud-resolving resolutions of 3 km and 1 km. To express on-node parallelism we use the C++ library Kokkos, which allows us to achieve a performance portable code in a largely architecture-independent way. Our C++ implementation is at least as fast as the original Fortran implementation on IBM Power9 and Intel Knights Landing processors, proving that the code refactor did not compromise the efficiency on CPU architectures. On the other hand, when using the GPUs, our implementation is able to achieve 0.97 Simulated Years Per Day, running on the full Summit supercomputer. To the best of our knowledge, this is the most achieved to date by any global atmosphere dynamical core running at such resolutions. Luca Bertagna, Oksana Guba, Mark A. Taylor, James G. Foucar, Jeffrey M. Larkin, Andrew M. Bradley, Sivasankaran Rajamanickam, Andrew G. Salinger |
SC | 2 |