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Hao Wu 0026

dblp:72/4250-26 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2013
0000-0003-2107-1361ORCID · conflict

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
Interconnection networks and networks-on-chip · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Interconnection networks and networks-on-chip
arbitration
0.212013
Stream arbitration: Towards efficient bandwidth utilization for emerging on-chip interconnects · ACM Trans. Archit. Code Optim. 2013
Interconnection networks and networks-on-chip
on-chip interconnect
0.212013
Stream arbitration: Towards efficient bandwidth utilization for emerging on-chip interconnects · ACM Trans. Archit. Code Optim. 2013

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

runtime channel competition · 0.2
YearPublicationVenuePosition
2013 Stream arbitration: Towards efficient bandwidth utilization for emerging on-chip interconnects
abstract
Alternative interconnects are attractive for scaling on-chip communication bandwidth in a power-efficient manner. However, efficient utilization of the bandwidth provided by these emerging interconnects still remains an open problem due to the spatial and temporal communication heterogeneity. In this article, a Stream Arbitration scheme is proposed, where at runtime any source can compete for any communication channel of the interconnect to talk to any destination. We apply stream arbitration to radio frequency interconnect (RF-I). Experimental results show that compared to the representative token arbitration scheme, stream arbitration can provide an average 20% performance improvement and 12% power reduction.
Chunhua Xiao, Mau-Chung Frank Chang, Jason Cong, Michael Gill, Zhangqin Huang, Chunyue Liu, Glenn Reinman, Hao Wu 0026
ACM Trans. Archit. Code Optim.8