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ORCIDJin Wang 0010
Person information
- affiliation (PhD 2017): Georgia Institute of Technology, School of Electrical and Computer Engineering, Atlanta, GA, USA
Other persons with the same name
- Jin Wang — disambiguation page
- Jin Wang 0001
![[0000-0001-5473-8738]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-5473-8738")
— Changsha University of Science and Technology, School of Computer and Communication Engineering, China (and 3 more) - Jin Wang 0002 — The University of Western Australia, Perth, WA, Australia (and 1 more)
- Jin Wang 0003 — Beijing Jiaotong University, State Key Lab of Rail Traffic Control and Safety, China
- Jin Wang 0004 — Wuhan University, School of Electronic Information, China
- Jin Wang 0005 — Nantong University, School of Computer Science and Technology, China
- Jin Wang 0006 — Chongqing University of Posts and Telecommunications, Chongqing Key Laboratory of Computational Intelligence, China (and 1 more)
- Jin Wang 0007 — Megagon Labs (and 2 more)
- Jin Wang 0008 — Yuan Ze University, Department of Computer Science and Engineering, Taoyuan, Taiwan (and 1 more)
- Jin Wang 0009 — Soochow University, Department of Computer Science and Technology, Suzhou, China (and 2 more)
- Jin Wang 0012 — Institute of Applied Physics and Computational Mathematics, Beijing, China (and 1 more)
- Jin Wang 0013 — Aeroflex Cambridge Ltd., UK (and 2 more)
- Jin Wang 0015 — Zhejiang University, State Key Laboratory of Fluid Power and Mechatronic Systems, Hangzhou, China
- Jin Wang 0016 — Kyushu University, Research and Development Center for Taste and Odor Sensing, Fukuoka, Japan (and 1 more)
- Jin Wang 0017 — City University of Hong Kong, Department of Systems Engineering and Engineering Management, Hong Kong
- Jin Wang 0018 — Nanyang Technological University, School of Computer Engineering, Singapore
- Jin Wang 0019 — Huazhong University of Science and Technology, Key Laboratory of Ministry of Education for Image Processing and Intelligent Control, Wuhan, China (and 1 more)
- Jin Wang 0020 — Nanjing University of Science and Technology, School of Electronic and Optical Engineering, China
- Jin Wang 0021 — Southeast University, School of Computer Science and Engineering, Nanjing, China (and 1 more)
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Books and Theses
- 2017
[b1]Jin Wang:
Acceleration and Optimization Of Dynamic Parallelism for Irregular Applications on GPUs. Georgia Institute of Technology, Atlanta, GA, USA, 2017
Journal Articles
- 2012
- [j1]Haicheng Wu, Gregory F. Diamos, Jin Wang, Si Li, Sudhakar Yalamanchili:
Characterization and transformation of unstructured control flow in bulk synchronous GPU applications. Int. J. High Perform. Comput. Appl. 26(2): 170-185 (2012)
Conference and Workshop Papers
- 2016
- [c8]Jin Wang, Norm Rubin, Albert Sidelnik, Sudhakar Yalamanchili:
LaPerm: Locality Aware Scheduler for Dynamic Parallelism on GPUs. ISCA 2016: 583-595 - [c7]Daniel Zinn, Haicheng Wu, Jin Wang, Molham Aref, Sudhakar Yalamanchili:
General-purpose join algorithms for large graph triangle listing on heterogeneous systems. GPGPU@PPoPP 2016: 12-21 - 2015
- [c6]Jin Wang, Norm Rubin, Albert Sidelnik, Sudhakar Yalamanchili:
Dynamic thread block launch: a lightweight execution mechanism to support irregular applications on GPUs. ISCA 2015: 528-540 - 2014
- [c5]Jin Wang, Norman Rubin, Sudhakar Yalamanchili:
ParallelJS: An Execution Framework for JavaScript on Heterogeneous Systems. GPGPU@ASPLOS 2014: 72 - [c4]Jin Wang, Sudhakar Yalamanchili:
Characterization and analysis of dynamic parallelism in unstructured GPU applications. IISWC 2014: 51-60 - 2013
- [c3]Jin Wang, Norman Rubin, Haicheng Wu, Sudhakar Yalamanchili:
Accelerating simulation of agent-based models on heterogeneous architectures. GPGPU@ASPLOS 2013: 108-119 - [c2]Gregory Frederick Diamos, Haicheng Wu, Jin Wang, Ashwin Sanjay Lele, Sudhakar Yalamanchili:
Relational algorithms for multi-bulk-synchronous processors. PPoPP 2013: 301-302 - 2012
- [c1]Haicheng Wu, Gregory F. Diamos, Jin Wang, Srihari Cadambi, Sudhakar Yalamanchili, Srimat T. Chakradhar:
Optimizing Data Warehousing Applications for GPUs Using Kernel Fusion/Fission. IPDPS Workshops 2012: 2433-2442
Coauthor Index
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