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Gang Ren 0002
Person information
- affiliation (PhD 2006): University of Illinois Urbana-Champaign, Department of Computer Science, IL, USA
Other persons with the same name
- Gang Ren — disambiguation page
- Gang Ren 0001
— Xiamen University of Technology, School of Design Arts, China (and 1 more)
- Gang Ren 0003 — Tsinghua University, Institute for Network Sciences and Cyberspace, Beijing, China (and 1 more)
- Gang Ren 0004 — University of Miami, Department of Computer Science, Institute of Data Science and Computing, Coral Gables, FL, USA
- Gang Ren 0005
— Southeast University, School of Transportation, Nanjing, China
- Gang Ren 0006
— Henan Institute of Technology, College of Computer Science and Technology, Xinxiang, China (and 2 more)
- Gang Ren 0007
— Hefei University of Technology, School of Management, Key Laboratory of Process Optimization and Intelligent Decision-makin, China
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2000 – 2009
- 2006
- [b1]Gang Ren:
Compiling Vector Programs for SIMD Devices. University of Illinois Urbana-Champaign, USA, 2006 - [c5]Gang Ren, Peng Wu, David A. Padua:
Optimizing data permutations for SIMD devices. PLDI 2006: 118-131 - 2005
- [j1]Kamen Yotov, Xiaoming Li, Gang Ren, María Jesús Garzarán, David A. Padua, Keshav Pingali, Paul Stodghill:
Is Search Really Necessary to Generate High-Performance BLAS? Proc. IEEE 93(2): 358-386 (2005) - [c4]Gang Ren, Peng Wu, David A. Padua:
An Empirical Study On the Vectorization of Multimedia Applications for Multimedia Extensions. IPDPS 2005 - [c3]Arkady Epshteyn, María Jesús Garzarán, Gerald DeJong, David A. Padua, Gang Ren, Xiaoming Li, Kamen Yotov, Keshav Pingali:
Analytic Models and Empirical Search: A Hybrid Approach to Code Optimization. LCPC 2005: 259-273 - 2003
- [c2]Gang Ren, Peng Wu, David A. Padua:
A Preliminary Study on the Vectorization of Multimedia Applications for Multimedia Extensions. LCPC 2003: 420-435 - [c1]Kamen Yotov, Xiaoming Li, Gang Ren, Michael Cibulskis, Gerald DeJong, María Jesús Garzarán, David A. Padua, Keshav Pingali, Paul Stodghill, Peng Wu:
A comparison of empirical and model-driven optimization. PLDI 2003: 63-76
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