基本信息
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Career Trajectory
Bio
Xiaoming Li obtained his B.S. and M.E. in Computer Science at Nanjing University in 1998 and 2001, and Ph.D. in Computer Science at the University of Illinois at Urbana-Champaign in 2006. He is currently an Assistant Professor of Computer Engineering at the University of Delaware. He is a recepient of the National Science Foundation CAREER award (2008).
My research interests are code generation and optimization, compilers, and interaction between hardware and software. The main goal of my research is to make programs run faster and use less resource. I am interested in all aspect of compiler optimizations and transformations, both statically and dynamically. In particular, I am interested in code generation techniques that combine machine learning and architectural models to automatically deliver higher quality code. I am also interested in compilers for non-traditional executing engines, such as SAT solvers and virtual machines.
Representative Publications
(full list of publications)
"Input-adaptive Parallel Sparse Fast Fourier Transform for Stream Processing". Shuo Chen and Xiaoming Li. The 28th International Conference on Supercomputing (ICS 2014), Munich, Germany, June, 2014. [bib]
"A Hybrid GPU/CPU FFT Library for Large FFT Problems". Shuo Chen and Xiaoming Li. Proceedings of The 32nd IEEE International Performance Computing and Communications Conference, IPCCC 2013, San Diego, CA, USA. [bib]
"Using GPUs to Compute Large Out-of-card FFTs", Liang Gu, Jakob Siegel and Xiaoming Li. 25th International Conference on Supercomputing (ICS 2011), Tucson, Arizona, USA, June, 2011. [bib]
"An Empirically Tuned 2D and 3D FFT Library on CUDA GPU", Liang Gu, Xiaoming Li and Jakob Siegel. Proceedings of International Conference on Supercomputing (ICS 2010). Tsukuba, Japan. June, 2010. [bib]
"DFT Performance Prediction in FFTW", Liang Gu and Xiaoming Li. Proceedings of Languages and Compilers for Parallel Computing, 22nd International Workshop, (LCPC 2009), Newark, Delaware, USA, October, 2009. [bib]
"A Control-structure Splitting Optimization for GPGPU", Snaider Carillo, Jakob Siegel and Xiaoming Li, Proceedings of ACM International Conference on Computing Frontier (CF) 2009, March, 2009. [bib]
"Optimizing Sorting with Genetic Algorithm". Xiaoming Li, María Jesús Garzarán, and David Padua. In Proc. of the 3rd International Symposium on Code Generation and Optimization (CGO-2005), pages 99-110, San Jose, CA, USA, 2005. [bib]
"Is Search Really Necessary to Generate High-Performance BLAS?". Kamen Yotov, Xiaoming Li, Gang Ren, Maria Garzaran, David Padua, Keshav Pingali and Paul Stodghill. Proceedings of the IEEE Special Issue on Program Generation, Optimization, and Platform Adaptation, Vol. 93, No. 2, pages 358-386, February, 2005. [bib]
Research Interests
Papers共 321 篇Author StatisticsCo-AuthorSimilar Experts
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Salvatore Servodio,Xiaoming Li
International Symposium on Memory Systemspp.245-256, (2024)
HIGH PERFORMANCE COMPUTING, CARLA 2023 (2024): 77-94
The Cambridge Structural Database (2024)
SC-W '23: Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysispp.839-846, (2023)
SC-W '23: Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysispp.1958-1967, (2023)
Journal of Ordnance Equipment Engineeringno. 9 (2023)
Languages and Compilers for Parallel Computingpp.157-167, (2023)
PROCEEDINGS OF THE WORKSHOP ON COMPUTER ARCHITECTURE EDUCATION, WCAE 2023pp.17-25, (2023)
Science and Technology Innovation Heraldno. 30 (2022)
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Author Statistics
#Papers: 319
#Citation: 4183
H-Index: 26
G-Index: 56
Sociability: 7
Diversity: 4
Activity: 4
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