Demo Data from EDBT 2026 / reviewers in the wild / expert
Jianyuan Xiao
dblp:165/1094
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2021
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 1 first-author · 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
1 paper |
High-performance computing · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational science and engineering · 100% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational science and engineering
computational physics |
0.5 | 1 | 2021 | Symplectic structure-preserving particle-in-cell whole-volume simulation of tokamak plasmas to 111.3 trillion particles and 25.7 billion grids · SC 2021 |
Computational science and engineering › numerical simulation › particle simulation
particle-in-cell simulation |
0.5 | 1 | 2021 | Symplectic structure-preserving particle-in-cell whole-volume simulation of tokamak plasmas to 111.3 trillion particles and 25.7 billion grids · SC 2021 |
High-performance computing
plasma simulation |
0.5 | 1 | 2021 | Symplectic structure-preserving particle-in-cell whole-volume simulation of tokamak plasmas to 111.3 trillion particles and 25.7 billion grids · SC 2021 |
High-performance computing
scientific computing systems |
0.5 | 1 | 2021 | Symplectic structure-preserving particle-in-cell whole-volume simulation of tokamak plasmas to 111.3 trillion particles and 25.7 billion grids · SC 2021 |
High-performance computing › supercomputing
exascale computing |
0.1 | 1 | 2021 | Symplectic structure-preserving particle-in-cell whole-volume simulation of tokamak plasmas to 111.3 trillion particles and 25.7 billion grids · SC 2021 |
High-performance computing
performance optimization at scale |
0.1 | 1 | 2021 | Symplectic structure-preserving particle-in-cell whole-volume simulation of tokamak plasmas to 111.3 trillion particles and 25.7 billion grids · SC 2021 |
Methods — techniques the papers use, named apart from their topics
symplectic integration · 1.0cylindrical mesh · 1.0charge-conservative scheme · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Symplectic structure-preserving particle-in-cell whole-volume simulation of tokamak plasmas to 111.3 trillion particles and 25.7 billion gridsabstractWe employ our recently developed explicit 2nd-order charge-conservative symplectic electromagnetic particle-in-cell (PIC) scheme in the cylindrical mesh to simulate the whole-volume magnetic confinement toroidal plasmas on the new Sunway supercomputer. From a large-scale simulation of magneticized toroidal plasma with 111.3 trillion particles and 25.7 billion grids, we have obtained a sustained performance exceeding 201.1 PFLOP/s (double precision) with the fastest iteration step achieving 298.2 PFLOP/s (double precision). For the first time, unprecedented high resolution evolution of 6D electromagnetic fully kinetic plasmas based on 2D equilibrium profiles from Experimental Advanced Superconducting Tokamak (EAST) and designed operation state of China Fusion Engineering Test Reactor (CFETR) are presented, and edge micro-instabilities can be investigated directly. This shows the possibility to study crucial problems and phenomena in the magnetic confinement toroidal plasma directly using the symplectic electromagnetic fully kinetic PIC method on world's leading supercomputers. Jianyuan Xiao, Junshi Chen 0003, Jiangshan Zheng, Hong An, Shenghong Huang, Chao Yang 0001, Ziyu Zhang 0003, Yeqi Huang, Wenting Han, Xin Liu 0081, Dexun Chen, Ge Zhuang, Qiang Chen 0005 |
SC | 1 |