Demo Data from VLDB 2026 / reviewers in the wild / expert
Chang M. Yi
dblp:266/3196
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2020
—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 |
Parallel and multicore computing · 87% GPUs and heterogeneous computing · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Parallel and multicore computing
data parallelism |
0.4 | 1 | 2020 | HetPipe: Enabling Large DNN Training on (Whimpy) Heterogeneous GPU Clusters through Integration of Pipelined Model Parallelism and Data Parallelism · USENIX ATC 2020 |
Parallel and multicore computing
distributed deep learning training |
0.4 | 1 | 2020 | HetPipe: Enabling Large DNN Training on (Whimpy) Heterogeneous GPU Clusters through Integration of Pipelined Model Parallelism and Data Parallelism · USENIX ATC 2020 |
GPUs and heterogeneous computing › heterogeneous cluster computing
heterogeneous GPU cluster |
0.1 | 1 | 2020 | HetPipe: Enabling Large DNN Training on (Whimpy) Heterogeneous GPU Clusters through Integration of Pipelined Model Parallelism and Data Parallelism · USENIX ATC 2020 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | HetPipe: Enabling Large DNN Training on (Whimpy) Heterogeneous GPU Clusters through Integration of Pipelined Model Parallelism and Data Parallelism
Jay H. Park, Gyeongchan Yun, Chang M. Yi, Nguyen T. Nguyen, Jaesik Choi, Sam H. Noh, Young-ri Choi |
USENIX ATC | 3 |