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Changyun Luo

dblp:314/9837 · DBLP profile ↗
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2ranked-venue papers
1as first author
2since 2021 · last 2024
0000-0002-0264-9124ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1 · 1 since 2021Computer networks · 1 · 1 first-author · 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.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Interconnection networks and networks-on-chip · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Interconnection networks and networks-on-chip › flow control
credit-based flow control
0.812024
FlowStar: Fast Convergence Per-Flow State Accurate Congestion Control for InfiniBand · IEEE/ACM Trans. Netw. 2024
Interconnection networks and networks-on-chip › cluster interconnect
infiniband
0.812024
FlowStar: Fast Convergence Per-Flow State Accurate Congestion Control for InfiniBand · IEEE/ACM Trans. Netw. 2024

Methods — techniques the papers use, named apart from their topics

simulation · 0.8rate adjustment · 0.8
YearPublicationVenuePosition
2024 FlowStar: Fast Convergence Per-Flow State Accurate Congestion Control for InfiniBand
abstract
According to the latest TOP500 list, InfiniBand (IB) is the most widely used network architecture in the top 10 supercomputers. IB relies on Credit-based Flow Control (CBFC) to provide a lossless network and InfiniBand congestion control (IB CC) to relieve congestion, however, this can lead to the problem of victim flow since messages are mixed in the same queue and long-lived congestion spreading due to slow convergence. To deal with these problems, in this paper, we propose FlowStar, a fast convergence per-flow state accurate congestion control for InfiniBand. FlowStar includes two core mechanisms: 1) optimized per-flow CBFC mechanism provides flow state control to detect real congestion; and 2) rate adjustment rules make up for the mismatch between the original IB CC rate regulation and the per-hop CBFC to alleviate congestion spreading. FlowStar implements a per-flow congestion state on switches and can obtain in-flight packet information without additional parameter settings to ensure a lossless network. Evaluations show that FlowStar improves average and tail message complete time under different workloads.
Changyun Luo, Huaxi Gu, Lijing Zhu, Huixia Zhang
IEEE/ACM Trans. Netw.1
2022 Flex: A flowlet-level load balancing based on load-adaptive timeout in DCN
Xinglong Diao, Huaxi Gu, Xiaoshan Yu 0001, Changyun Luo
Future Gener. Comput. Syst.5