EDBT 2026 Demo / reviewers in the wild / expert
Shao-Jun Dong
dblp:219/8721
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1
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 · 81% GPUs and heterogeneous computing · 19% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational science and engineering · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational science and engineering › computational physics
quantum many-body simulation |
0.3 | 1 | 2018 | PEPS++: Towards Extreme-Scale Simulations of Strongly Correlated Quantum Many-Particle Models on Sunway TaihuLight · IEEE Trans. Parallel Distributed Syst. 2018 |
High-performance computing › large-scale simulation
extreme-scale simulation |
0.3 | 1 | 2018 | PEPS++: Towards Extreme-Scale Simulations of Strongly Correlated Quantum Many-Particle Models on Sunway TaihuLight · IEEE Trans. Parallel Distributed Syst. 2018 |
GPUs and heterogeneous computing
heterogeneous supercomputing |
0.1 | 1 | 2018 | PEPS++: Towards Extreme-Scale Simulations of Strongly Correlated Quantum Many-Particle Models on Sunway TaihuLight · IEEE Trans. Parallel Distributed Syst. 2018 |
High-performance computing › supercomputing
sunway taihulight |
0.1 | 1 | 2018 | PEPS++: Towards Extreme-Scale Simulations of Strongly Correlated Quantum Many-Particle Models on Sunway TaihuLight · IEEE Trans. Parallel Distributed Syst. 2018 |
Methods — techniques the papers use, named apart from their topics
tensor computation · 0.7high-performance matrix operations · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | PEPS++: Towards Extreme-Scale Simulations of Strongly Correlated Quantum Many-Particle Models on Sunway TaihuLightabstractThe study of strongly frustrated magnetic systems has drawn great attentions from both theoretical and experimental physics. Efficient simulations of these models are essential for understanding their exotic properties. Here we present PEPS++, a novel computational paradigm for simulating frustrated magnetic systems and other strongly correlated quantum many-body systems. PEPS++ can accurately solve these models at the extreme scale with low cost and high scalability on modern heterogeneous supercomputers. We implement PEPS++ on Sunway TaihuLight based on a carefully designed tensor computation library for manipulating high-rank tensors and optimize it by invoking various high-performance matrix and tensor operations. By solving a 2D strongly frustrated$J_1$-$J_2$model with over ten million cores, PEPS++ demonstrates the capability of simulating strongly correlated quantum many-body problems at unprecedented scales with accuracy and time-to-solution far beyond the previous state of the art. Lixin He, Hong An, Chao Yang 0002, Junshi Chen 0003, Weihao Liang, Shao-Jun Dong, Qiao Sun 0005, Wenting Han, Yongjian Han, Wenjun Yao |
IEEE Trans. Parallel Distributed Syst. | 8 |