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Da Li
Da Li
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Title
Cited by
Cited by
Year
Evaluating the energy efficiency of deep convolutional neural networks on CPUs and GPUs
D Li, X Chen, M Becchi, Z Zong
2016 IEEE international conferences on big data and cloud computing (BDCloud …, 2016
822016
Deploying Graph Algorithms on GPUs: an Adaptive Solution
D Li, M Becchi
2013 IEEE 27th International Symposium on Parallel & Distributed Processing …, 2013
512013
Compiler-assisted Workload Consolidation for Efficient Dynamic Parallelism on GPU
H Wu, D Li, M Becchi
2016 IEEE 27th International Symposium on Parallel & Distributed Processing …, 2016
252016
Nested Parallelism on GPU: Exploring Parallelization Templates for Irregular Loops and Recursive Computations
D Li, H Wu, M Becchi
International Conference on Parallel Processing, 2015
232015
A Distributed CPU-GPU Framework for Pairwise Alignments on Large-Scale Sequence Datasets
D Li, K Sajjapongse, H Truong, G Conant, M Becchi
2013 IEEE 24th International Conference on Application-Specific Systems …, 2013
172013
Learning convolution neural networks on heterogeneous cpu-gpu platform
M Liu, X Xu, D Li
US Patent 10,002,402, 2018
132018
Large-Scale Pairwise Alignments on GPU Clusters: Exploring the Implementation Space
H Truong, D Li, K Sajjapongse, G Conant, M Becchi
Journal of Signal Processing Systems 77 (1-2), 131-149, 2014
122014
GRapid: a Compilation and Runtime Framework for Rapid Prototyping of Graph Applications on Many-core Processors
D Li, S Chakradhar, M Becchi
2014 IEEE 20th International Conference on Parallel and Distributed Systems, 2014
122014
Multiple pairwise sequence alignments with the needleman-wunsch algorithm on GPU
D Li, M Becchi
2012 SC Companion: High Performance Computing, Networking Storage and …, 2012
122012
Exploiting dynamic parallelism to efficiently support irregular nested loops on GPUS
D Li, H Wu, M Becchi
Proceedings of the 2015 International Workshop on Code Optimisation for …, 2015
72015
Source-to-source transformations for graph processing on many-core platforms
S Chakradhar, M Becchi, D Li
US Patent 20,150,113,514, 2016
52016
Fast Integral Histogram Computations on GPU for Real-Time Video Analytics
M Poostchi, K Palaniappan, D Li, M Becchi, F Bunyak, G Seetharaman
arXiv preprint arXiv:1711.01919, 2017
32017
BPA:The Optimal Placement of Interdependent VNFs in Many-core System
Y Zhong, Z Zhou, X Liu, D Li, M Guo, S Zhang, Q Liu, L Guo
EAI CollaborateCom, 2020
22020
Multi-source data oriented flexible real-time information fusion platform on FPGA
T Song, D Li, Y Yao
2011 International Conference on Electronics, Communications and Control …, 2011
22011
Facilitating emerging applications on many-core processors
D Li
University of Missouri--Columbia, 2016
12016
Designing Code Variants for Applications with Nested Parallelism on GPUs
D Li, M Becchi
GPU Technology Conference, 2015
1*2015
A Scalable Cloud-based Architecture to Deploy JupyterHub for Computational Social Science Research
D Li, R Pyke, R Jiang
Practice and Experience in Advanced Research Computing, 2021
2021
SASD: A Self-Adaptive Stateful Decompression Architecture
Z Zhou, X Zhang, Q Kiu, Y Zhu, D Li, L Guo
IEEE Global Communications Conference, 2018
2018
一种搜索引擎中的多字符串匹配方法
T Song, D Li
CN Patent CN101,901,257 B, 2012
2012
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Articles 1–19