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Xiaoming Li 0010
Person information
- affiliation: University of Delaware, Department of Department of Electrical and Computer Engineering, Newark, DE, USA
Other persons with the same name
- Xiaoming Li (aka: XiaoMing Li, Xiao-ming Li, Xiao-Ming Li, Xiao Ming Li) — disambiguation page
- Xiaoming Li 0001 — Peking University, School of Electrical Engineering and Computer Science, Department of Computer Science and Technology, Computer Networks and Distributed Systems Laboratory, Beijing, China (and 1 more)
- Xiaoming Li 0002 — Nanyang Technological University, School of Computer Science and Engineering, Singapore (and 3 more)
- Xiaoming Li 0003 — Nanyang Technological University, Singapore
- Xiaoming Li 0004 — University of Illinois at Urbana-Champaign, Department of Computer Science, IL, USA
- Xiaoming Li 0005 (aka: XiaoMing Li 0005, Xiao-Ming Li 0005, Xiao Ming Li 0005) — Chinese Academy of Sciences, Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Beijing, China (and 5 more)
- Xiaoming Li 0006 — Zhejiang Yuexiu University, School of International Business, Shaoxing, China (and 1 more)
- Xiaoming Li 0007 — Concordia University, Montreal, Canada (and 1 more)
- Xiaoming Li 0008 — University of South Carolina, Arnold School of Public Health, Department of Health Promotion, Education, and Behavior, South Carolina SmartState Center for Healthcare Quality (CHQ), Columbia, SC, USA (and 1 more)
- Xiaoming Li 0009 — Shenzhen University, School of Architecture and Urban Planning, Research Institute for Smart Cities, Shenzhen, China (and 3 more)
- Xiaoming Li 0011 — Tennessee State University, Department of Business Administration, Nashville, TN, USA
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2020 – today
- 2024
- [c34]Salvatore Servodio, Xiaoming Li:
Memory Efficiency Oriented Fine-Grain Representation and Optimization of FFT. MEMSYS 2024: 245-256 - 2023
- [j4]Jie Tang, Weilin Zhu, Xiaoming Li, Shaoshan Liu, Xue Liu:
A Distributed Pricing Strategy for Edge Computation Offloading Optimization in Autonomous Driving. IEEE Netw. 37(5): 49-55 (2023) - [c33]Diego A. Roa Perdomo, Rafael A. Herrera Guaitero, Dawson Fox, Hervé Yviquel, Siddhisanket Raskar, Xiaoming Li, Jose Manuel Monsalve Diaz:
Towards Fault Tolerance and Resilience in the Sequential Codelet Model. CARLA 2023: 77-94 - [c32]Dawson Fox, Jose Manuel Monsalve Diaz, Xiaoming Li:
A gem5 Implementation of the Sequential Codelet Model: Reducing Overhead and Expanding the Software Memory Interface. SC Workshops 2023: 839-846 - [c31]Diego A. Roa Perdomo, Rodrigo Ceccato, Rémy Neveu, Hervé Yviquel, Xiaoming Li, Jose Manuel Monsalve Diaz, Johannes Doerfert:
Memory Transfer Decomposition: Exploring Smart Data Movement Through Architecture-Aware Strategies. SC Workshops 2023: 1958-1967 - [c30]Diego A. Roa Perdomo, Paige C. Kinsley, José Monsalve Diaz, Michael E. Papka, Xiaoming Li:
DEMAC: A Platform for Education in High-performance Computing, Bridging the Gap Between Users and Hardware. WCAE 2023 - [i3]Dawson Fox, Jose Monsalve Diaz, Xiaoming Li:
On Memory Codelets: Prefetching, Recoding, Moving and Streaming Data. CoRR abs/2302.00115 (2023) - 2022
- [c29]Shaoshan Liu, Xiaoming Li, Tongsheng Geng, Stéphane Zuckerman, Jean-Luc Gaudiot:
Programming Autonomous Machines : Special Session Paper. EMSOFT 2022: 24-33 - [c28]Rafael A. Herrera Guaitero, Jose Manuel Monsalve Diaz, Thomas Applencourt, Xiaoming Li, Johannes Doerfert:
Automatic Asynchronous Execution of Synchronously Offloaded OpenMP Target Regions. LLVM-HPC@SC 2022: 23-33 - [e3]Xiaoming Li, Sunita Chandrasekaran:
Languages and Compilers for Parallel Computing - 34th International Workshop, LCPC 2021, Newark, DE, USA, October 13-14, 2021, Revised Selected Papers. Lecture Notes in Computer Science 13181, Springer 2022, ISBN 978-3-030-99371-9 [contents] - [i2]Shaoshan Liu, Xiaoming Li, Tongsheng Geng, Stéphane Zuckerman, Jean-Luc Gaudiot:
Programming Autonomous Machines. CoRR abs/2209.02193 (2022) - [i1]Dawson Fox, Jose Manuel Monsalve Diaz, Xiaoming Li:
Chiplets and the Codelet Model. CoRR abs/2209.06083 (2022) - 2021
- [c27]Salvatore Servodio, Xiaoming Li:
An Efficient Shuffle-Light FFT Library. IPCCC 2021: 1-10 - [c26]Haoke Xu, Xiaoming Li:
Fast Monotonicity Preserving Text Sorting On GPU. IPCCC 2021: 1-7 - 2020
- [c25]Yulin Zhang, Xiaoming Li:
Fast Convolutional Neural Networks with Fine-Grained FFTs. PACT 2020: 255-265 - [c24]Xiaoming Li:
G-Code Re-compilation and Optimization for Faster 3D Printing. LCPC 2020: 104-116
2010 – 2019
- 2018
- [c23]Yuanfang Chen, Qingchuan Shi, Xiaoming Li:
CSSMT: Compiler Based Software Simultaneous Multithreading (SMT). PDP 2018: 60-67 - 2017
- [j3]Nicholas Geneva, Cheng Peng, Xiaoming Li, Lian-Ping Wang:
A scalable interface-resolved simulation of particle-laden flow using the lattice Boltzmann method. Parallel Comput. 67: 20-37 (2017) - [c22]Hao Wu, Kuang Lu, Xiaoming Li, Hui Fang:
Improving Retrieval Effectiveness for Temporal-Constrained Top-K Query Processing. AIRS 2017: 3-15 - [c21]Yulin Zhang, Hui Fang, Xiaoming Li:
Scalable Top-K Query Processing Using Graphics Processing Unit. LCPC 2017: 240-261 - 2015
- [j2]Ching-Hsien Hsu, Xiaoming Li, Xuanhua Shi:
Network and Parallel Computing. Int. J. Parallel Program. 43(3): 311-315 (2015) - [c20]Yuanfang Chen, Xiaoming Li:
A Thread Merging Transformation to Improve Throughput of Multiple Programs. AINA 2015: 118-125 - [c19]Xiaoming Li, Jack B. Dennis, Guang R. Gao, Willie Y.-P. Lim, Haitao Wei, Chao Yang, Robert S. Pavel:
FreshBreeze: A Data Flow Approach for Meeting DDDAS Challenges. ICCS 2015: 2573-2582 - 2014
- [c18]Haitao Wei, Stéphane Zuckerman, Xiaoming Li, Guang R. Gao:
A Dataflow Programming Language and its Compiler for Streaming Systems. ICCS 2014: 1289-1298 - [c17]Shuo Chen, Xiaoming Li:
Input-adaptive parallel sparse fast fourier transform for stream processing. ICS 2014: 93-102 - [c16]Xin Yu, Xuanhua Shi, Hai Jin, Xiaofei Liao, Song Wu, Xiaoming Li:
Page Classifier and Placer: A Scheme of Managing Hybrid Caches. NPC 2014: 10-22 - 2013
- [c15]Shuo Chen, Xiaoming Li:
A hybrid GPU/CPU FFT library for large FFT problems. IPCCC 2013: 1-10 - [c14]Shuo Chen, Xiaoming Li:
An Input-Adaptive Algorithm for High Performance Sparse Fast Fourier Transform. LCPC 2013: 252-271 - [e2]Ching-Hsien Hsu, Xiaoming Li, Xuanhua Shi, Ran Zheng:
Network and Parallel Computing - 10th IFIP International Conference, NPC 2013, Guiyang, China, September 19-21, 2013. Proceedings. Lecture Notes in Computer Science 8147, Springer 2013, ISBN 978-3-642-40819-9 [contents] - 2012
- [c13]Yuanfang Chen, Xiaoming Li:
Static micro-scheduling: Resource contention relief in multithreaded programs. IPCCC 2012: 187-188 - 2011
- [c12]Murat Bolat, Kirk Kelsey, Xiaoming Li, Guang R. Gao:
Source Code Partitioning in Program Optimization. ICPADS 2011: 56-63 - [c11]Liang Gu, Jakob Siegel, Xiaoming Li:
Using GPUs to compute large out-of-card FFTs. ICS 2011: 255-264 - [c10]Ryan Taylor, Xiaoming Li:
A Code Merging Optimization Technique for GPU. LCPC 2011: 218-236 - 2010
- [j1]Ryan Taylor, Xiaoming Li:
Software-based branch predication for AMD GPUs. SIGARCH Comput. Archit. News 38(4): 66-72 (2010) - [c9]Ryan Taylor, Xiaoming Li:
A Micro-benchmark Suite for AMD GPUs. ICPP Workshops 2010: 387-396 - [c8]Liang Gu, Xiaoming Li, Jakob Siegel:
An empirically tuned 2D and 3D FFT library on CUDA GPU. ICS 2010: 305-314 - [e1]Guang R. Gao, Lori L. Pollock, John Cavazos, Xiaoming Li:
Languages and Compilers for Parallel Computing, 22nd International Workshop, LCPC 2009, Newark, DE, USA, October 8-10, 2009, Revised Selected Papers. Lecture Notes in Computer Science 5898, Springer 2010, ISBN 978-3-642-13373-2 [contents]
2000 – 2009
- 2009
- [c7]Snaider Carrillo, Jakob Siegel, Xiaoming Li:
A control-structure splitting optimization for GPGPU. Conf. Computing Frontiers 2009: 147-150 - [c6]Jakob Siegel, Juergen Ributzka, Xiaoming Li:
CUDA Memory Optimizations for Large Data-Structures in the Gravit Simulator. ICPP Workshops 2009: 174-181 - [c5]Liang Gu, Xiaoming Li:
Performance modeling for DFT algorithms in FFTW. ICS 2009: 507-508 - [c4]Alejandro Segovia, Xiaoming Li, Guang R. Gao:
Iterative layer-based raytracing on CUDA. IPCCC 2009: 248-255 - [c3]Liang Gu, Xiaoming Li:
DFT Performance Prediction in FFTW. LCPC 2009: 140-156 - 2007
- [c2]Daniel A. Orozco, Liping Xue, Murat Bolat, Xiaoming Li, Guang R. Gao:
Experience of Optimizing FFT on Intel Architectures. IPDPS 2007: 1-8 - [c1]Haiping Wu, Eunjung Park, Mihailo Kaplarevic, Yingping Zhang, Murat Bolat, Xiaoming Li, Guang R. Gao:
Automatic Program Segment Similarity Detection in Targeted Program Performance Improvement. IPDPS 2007: 1-8
Coauthor Index
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last updated on 2025-01-14 22:14 CET by the dblp team
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