ShaderNet: Graph-based Shader Code Analysis to Accelerate GPU s Performance Improvement

Lin Zhao; Arijit Khan; Robby Luo

doi:10.1145/3534540.3534688

ShaderNet: Graph-based Shader Code Analysis to Accelerate GPU s Performance Improvement

Lin Zhao
, Arijit Khan
, Robby Luo

Nanyang Technological University
Aalborg University
Advanced Micro Devices Co. Ltd.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Proceedings of the 5th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences and Systems (GRADES) and Network Data Analytics (NDA), GRADES-NDA 2022
Editors	Vasiliki Kalavri, Semih Salihoglu
Publisher	Association for Computing Machinery, Inc
ISBN (Electronic)	9781450393843
DOIs	https://doi.org/10.1145/3534540.3534688
State	Published - Jun 12 2022
Externally published	Yes
Event	5th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences and Systems and Network Data Analytics, GRADES-NDA 2022, co-located with ACM SIGMOD Conference - Hybrid, Philadelphia, United States Duration: Jun 12 2022 → Jun 12 2022

Publication series

Name	Proceedings of the 5th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences and Systems (GRADES) and Network Data Analytics (NDA), GRADES-NDA 2022

Conference

Conference	5th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences and Systems and Network Data Analytics, GRADES-NDA 2022, co-located with ACM SIGMOD Conference
Country/Territory	United States
City	Hybrid, Philadelphia
Period	6/12/22 → 6/12/22

ASJC Scopus Subject Areas

Computer Graphics and Computer-Aided Design
Information Systems
Software

Keywords

GPUs
graph analysis
machine learning on graphs
shader code

Access to Document

10.1145/3534540.3534688

Cite this

Zhao, L., Khan, A., & Luo, R. (2022). ShaderNet: Graph-based Shader Code Analysis to Accelerate GPU s Performance Improvement. In V. Kalavri, & S. Salihoglu (Eds.), Proceedings of the 5th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences and Systems (GRADES) and Network Data Analytics (NDA), GRADES-NDA 2022 Article 3 (Proceedings of the 5th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences and Systems (GRADES) and Network Data Analytics (NDA), GRADES-NDA 2022). Association for Computing Machinery, Inc. https://doi.org/10.1145/3534540.3534688

ShaderNet: Graph-based Shader Code Analysis to Accelerate GPU s Performance Improvement. / Zhao, Lin; Khan, Arijit; Luo, Robby.
Proceedings of the 5th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences and Systems (GRADES) and Network Data Analytics (NDA), GRADES-NDA 2022. ed. / Vasiliki Kalavri; Semih Salihoglu. Association for Computing Machinery, Inc, 2022. 3 (Proceedings of the 5th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences and Systems (GRADES) and Network Data Analytics (NDA), GRADES-NDA 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Zhao, L, Khan, A & Luo, R 2022, ShaderNet: Graph-based Shader Code Analysis to Accelerate GPU s Performance Improvement. in V Kalavri & S Salihoglu (eds), Proceedings of the 5th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences and Systems (GRADES) and Network Data Analytics (NDA), GRADES-NDA 2022., 3, Proceedings of the 5th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences and Systems (GRADES) and Network Data Analytics (NDA), GRADES-NDA 2022, Association for Computing Machinery, Inc, 5th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences and Systems and Network Data Analytics, GRADES-NDA 2022, co-located with ACM SIGMOD Conference, Hybrid, Philadelphia, United States, 6/12/22. https://doi.org/10.1145/3534540.3534688

Zhao L, Khan A, Luo R. ShaderNet: Graph-based Shader Code Analysis to Accelerate GPU s Performance Improvement. In Kalavri V, Salihoglu S, editors, Proceedings of the 5th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences and Systems (GRADES) and Network Data Analytics (NDA), GRADES-NDA 2022. Association for Computing Machinery, Inc. 2022. 3. (Proceedings of the 5th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences and Systems (GRADES) and Network Data Analytics (NDA), GRADES-NDA 2022). doi: 10.1145/3534540.3534688

Zhao, Lin ; Khan, Arijit ; Luo, Robby. / ShaderNet : Graph-based Shader Code Analysis to Accelerate GPU s Performance Improvement. Proceedings of the 5th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences and Systems (GRADES) and Network Data Analytics (NDA), GRADES-NDA 2022. editor / Vasiliki Kalavri ; Semih Salihoglu. Association for Computing Machinery, Inc, 2022. (Proceedings of the 5th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences and Systems (GRADES) and Network Data Analytics (NDA), GRADES-NDA 2022).

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ShaderNet: Graph-based Shader Code Analysis to Accelerate GPU s Performance Improvement

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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Cite this