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Changue Jung

dblp:298/4119 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
GPUs and heterogeneous computing › GPU communication
GPU networking
0.512021
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
YearPublicationVenuePosition
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 Ethernet
abstract
Despite 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
INFOCOM1