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Zhizhou Yang

dblp:149/7862 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2014
—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
Cloud and datacenter computing · 54% GPUs and heterogeneous computing · 46%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cloud and datacenter computing › cloud applications
cloud gaming
0.212014
VGRIS: Virtualized GPU Resource Isolation and Scheduling in Cloud Gaming · ACM Trans. Archit. Code Optim. 2014
GPUs and heterogeneous computing
GPU resource management
0.212014
VGRIS: Virtualized GPU Resource Isolation and Scheduling in Cloud Gaming · ACM Trans. Archit. Code Optim. 2014
GPUs and heterogeneous computing › GPU resource management
GPU virtualization
0.212014
VGRIS: Virtualized GPU Resource Isolation and Scheduling in Cloud Gaming · ACM Trans. Archit. Code Optim. 2014
Cloud and datacenter computing › resource management
resource isolation
0.212014
VGRIS: Virtualized GPU Resource Isolation and Scheduling in Cloud Gaming · ACM Trans. Archit. Code Optim. 2014
Cloud and datacenter computing
virtualization
0.112014
VGRIS: Virtualized GPU Resource Isolation and Scheduling in Cloud Gaming · ACM Trans. Archit. Code Optim. 2014

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

scheduling API framework · 0.2
YearPublicationVenuePosition
2014 VGRIS: Virtualized GPU Resource Isolation and Scheduling in Cloud Gaming
abstract
To achieve efficient resource management on a graphics processing unit (GPU), there is a demand to develop a framework for scheduling virtualized resources in cloud gaming. In this article, we propose VGRIS, a resource management framework for virtualized GPU resource isolation and scheduling in cloud gaming. A set of application programming interfaces (APIs) is provided so that a variety of scheduling algorithms can be implemented within the framework without modifying the framework itself. Three scheduling algorithms are implemented by the APIs within VGRIS. Experimental results show that VGRIS can effectively schedule GPU resources among various workloads.
Zhengwei Qi, Jianguo Yao 0002, Chao Zhang 0115, Zhizhou Yang, Haibing Guan
ACM Trans. Archit. Code Optim.5