Demo Data from VLDB 2026 / reviewers in the wild / expert
Changue Jung
dblp:298/4119
· DBLP profile ↗
2ranked-venue papers
2as first author
2since 2021 · last 2022
0000-0003-1869-0540ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 2 · 2 first-author · 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 |
GPUs and heterogeneous computing · 100% | |
| Computer networks
1 paper |
Datacenter networks · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
GPUs and heterogeneous computing › GPU communication
GPU networking |
0.5 | 1 | 2021 | GPU-Ether: GPU-native Packet I/O for GPU Applications on Commodity Ethernet · INFOCOM 2021 |
Methods — techniques the papers use, named apart from their topics
kernel-bypass i/o · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Virtualizing GPU direct packet I/O on commodity Ethernet to accelerate GPU-NFV
Changue Jung, Suhwan Kim 0008, Ikjun Yeom |
J. Netw. Comput. Appl. | 1 |
| 2021 | GPU-Ether: GPU-native Packet I/O for GPU Applications on Commodity EthernetabstractDespite the advent of various network enhancement technologies, it is yet a challenge to provide high-performance networking for GPU-accelerated applications on commodity Ethernet. Kernel-bypass I/O, such as DPDK or netmap, which is normally optimized for host memory-based CPU applications, has limitations on improving the performance of GPU-accelerated applications due to the data transfer overhead between host and GPU. In this paper, we propose GPU-Ether, GPU-native packet I/O on commodity Ethernet, which enables direct network access from GPU via dedicated persistent kernel threads. We implement GPU-Ether prototype on a commodity Ethernet NIC and perform extensive testing to evaluate it. The results show that GPU-Ether can provide high throughput and low latency for GPU applications. Changue Jung, Suhwan Kim 0008, Ikjun Yeom, Honguk Woo |
INFOCOM | 1 |