EDBT 2026 Demo / reviewers in the wild / expert
Dominic Marcello
dblp:219/8183
· DBLP profile ↗
3ranked-venue papers
0as first author
2since 2021 · last 2024
0000-0002-2782-315XORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 3 · 2 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
1 paper |
High-performance computing · 61% Electronic design automation · 30% Parallel and multicore computing · 9% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
High-performance computing › scientific computing systems
adaptive mesh refinement |
0.4 | 1 | 2019 | From piz daint to the stars: simulation of stellar mergers using high-level abstractions · SC 2019 |
Electronic design automation › technology computer-aided design
hydrodynamic simulation |
0.4 | 1 | 2019 | From piz daint to the stars: simulation of stellar mergers using high-level abstractions · SC 2019 |
High-performance computing
scientific computing systems |
0.4 | 1 | 2019 | From piz daint to the stars: simulation of stellar mergers using high-level abstractions · SC 2019 |
Parallel and multicore computing
parallel programming models |
0.1 | 1 | 2019 | From piz daint to the stars: simulation of stellar mergers using high-level abstractions · SC 2019 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Simulating stellar merger using HPX/Kokkos on A64FX on Supercomputer Fugaku
Patrick Diehl, Gregor Daiß, Kevin A. Huck, Dominic Marcello, Sagiv Shiber, Hartmut Kaiser, Dirk Pflüger |
J. Supercomput. | 4 |
| 2021 | Octo-Tiger's New Hydro Module and Performance Using HPX+CUDA on ORNL's SummitabstractOcto-Tiger is a code for modeling three-dimensional self-gravitating astrophysical fluids. It was particularly designed for the study of dynamical mass transfer between interacting binary stars. Octo-Tiger is parallelized for distributed systems using the asynchronous many-task runtime system, the C++ standard library for parallelism and concurrency (HPX) and utilizes CUDA for its gravity solver. Recently, we have remodeled Octo-Tiger’s hydro solver to use a three-dimensional reconstruction scheme. In addition, we have ported the hydro solver to GPU using CUDA kernels. We present scaling results for the new hydro kernels on ORNL’s Summit machine using a Sedov-Taylor blast wave problem. We also compare Octo-Tiger’s new hydro scheme with its old hydro scheme, using a rotating star as a test problem. Patrick Diehl, Gregor Daiß, Dominic Marcello, Kevin A. Huck, Sagiv Shiber, Hartmut Kaiser, Juhan Frank, Geoffrey C. Clayton, Dirk Pflüger |
CLUSTER | 3 |
| 2019 | From piz daint to the stars: simulation of stellar mergers using high-level abstractionsabstractWe study the simulation of stellar mergers, which requires complex simulations with high computational demands. We have developed Octo-Tiger, a finite volume grid-based hydrodynamics simulation code with Adaptive Mesh Refinement which is unique in conserving both linear and angular momentum to machine precision. To face the challenge of increasingly complex, diverse, and heterogeneous HPC systems, Octo-Tiger relies on high-level programming abstractions. Gregor Daiß, Parsa Amini, John Biddiscombe, Patrick Diehl, Juhan Frank, Kevin A. Huck, Hartmut Kaiser, Dominic Marcello, David Pfander, Dirk Pflüger |
SC | 8 |