EDBT 2026 Demo / reviewers in the wild / expert
Shaojun Xu
dblp:26/5280
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
0009-0008-4817-468XORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 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.
| Software engineering, system software, and programming languages
1 paper |
Compilers and program optimization · 100% |
Topics — the 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Compilers and program optimization
automatic code optimization |
0.3 | 1 | 2025 | Critique of "Productivity, Portability, Performance: Data-Centric Python" by SCC Team From Zhejiang University · IEEE Trans. Parallel Distributed Syst. 2025 |
Methods — techniques the papers use, named apart from their topics
scaling analysis · 0.9performance reproduction · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Critique of "Productivity, Portability, Performance: Data-Centric Python" by SCC Team From Zhejiang UniversityabstractIn SC'21, Alexandros Nikolaos Ziogas et al. proposed a Data-Centric Python workflow in their DaCe paper. DaCe provides high productivity, performance, and portability with language extensions and automatic optimizations. We reproduce the performance evaluation results from the paper on both CPU and GPU on the Azure CycleCloud cluster. We also reproduce the scaling results with up to 32 nodes and 64 processes. Our results show that the proposed workflow in that paper has outstanding performance and scalability in the provided cluster, in accordance with the SC paper. Zihan Yang 0004, Kaiqi Chen 0002, Xingjian Qian, Shaojun Xu, Chong Zeng 0001, Jianhai Chen, Yin Zhang 0006, Zeke Wang |
IEEE Trans. Parallel Distributed Syst. | 5 |