Embedded System: GPU computing on embedded systems, mobile computing
Work Experience:
Facebook (2016 - present)
Sony U.S. Research Center (2015)
AT&T Labs Research America (2014)
NEC Laboratories America (2013)
Taobao, Alibaba Group (2011)
Publications
Facilitating Emerging Applications on Many-core Processors
Da Li
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Dissertation
, Columbia, MO, USA, July, 2016.
Evaluating the Energy Efficiency of Deep Convolutional Neural Networks on CPUs and GPUs
Da Li*, Xinbo Chen*, Michela Becchi, Ziliang Zong (* both are leading authors)
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In IEEE International Conference on Sustainable Computing and Communications (SustainCom '16)
, Atlanta, GA, USA, October, 2016.
Compiler-Assisted Workload Consolidation for Efficient Dynamic Parallelism on GPU
Hancheng Wu*, Da Li*, Michela Becchi (* both are leading authors)
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In IEEE International Parallel & Distributed Processing Symposium (IPDPS '16)
, Chicago, Illinois, USA, May, 2016.
Facilitating Irregular Applications on Many-Core Processors
Da Li
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Slides ,
Poster
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In International Conference for High Performance Computing, Networking, Storage and Analysis (SC '15 Doctoral Showcase)
, Austin, TX, USA, November 2015.
Nested Parallelism on GPU: Exploring Parallelization Templates for Irregular Loops and Recursive Computations
Da Li, Hancheng Wu, Michela Becchi
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In International Conference on Parallel Processing (ICPP '15)
, Beijing, China, September, 2015.
Exploiting Dynamic Parallelism to Efficiently Support Irregular Nested Loops on GPUs
Da Li, Hancheng Wu, Michela Becchi
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In International Workshop on Code OptimiSation for Multi and Many Cores (COSMIC '15)
, San Francisco Bay Area, CA, Feburary, 2015.
GRapid: a Compilation and Runtime Framework for Rapid Prototyping of Graph Applications on Many-core Processors
Da Li, Srimat Chakradhar, Michela Becchi
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In IEEE International Conference on Parallel and Distributed Systems (ICPADS '14)
, Hsinchu, Taiwan, December, 2014.
Large-Scale Pairwise Alignments on GPU Clusters: Exploring the Implementation Space
Huan Truong, Da Li, Kittisak Sajjapongse, Gavin Conant, Michela Becchi
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In Journal of Signal Processing Systems
, Volume 77, Issue 1-2, October, 2014.
A Distributed CPU-GPU Framework for Pairwise Alignments on Large-Scale Sequence Datasets
Da Li, Kittisak Sajjapongse, Huan Truong, Gavin Conant, Michela Becchi
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In IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP '13)
, Washington D.C., USA, June, 2013.
Deploying Graph Algorithms on GPUs: an Adaptive Solution
Da Li, Michela Becchi
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In IEEE International Parallel & Distributed Processing Symposium (IPDPS '13)
, Boston, Massachusetts, USA, May, 2013.
Multi-Source Data Oriented Flexible Real-time Information Fusion Platform on FPGA
Tian Song, Da Li, Ying Yao
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In IEEE International Conference on Electronics, Communications and Control (ICECC '11)
, Ningbo, China, September, 2011.
Posters
Designing Code Variants for Applications with Nested Parallelism on GPUs
Da Li, Michela Becchi
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Poster
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In GPU Technology Conference (GTC '15)
, Silicon Valley, CA, USA, March 2015.
Multiple Pairwise Sequence Alignments with the Needleman-Wunsch Algorithm on GPU
Da Li, Michela Becchi
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Paper ,
Poster
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In International Conference for High Performance Computing, Networking, Storage and Analysis (SC '12)
, Salt Lake City, UT, USA, November 2012.
Software Support for Regular and Irregular Applications in Parallel Computing
Da Li, Michela Becchi
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Slides ,
Poster
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In International Conference for High Performance Computing, Networking, Storage and Analysis (SC '12)
, Salt Lake City, UT, USA, November 2012.
Patents
Learning Convolution Neural Networks on Heterogeneous CPU-GPU Platform
(July 2015, Application No.15/217,475)
Ming-Chang Liu, Xun Xu, Da Li
Source-to-source Transformations for Graph Processing on Many-core Platforms
(May 2016, Patent No.9335981)
Srimat Chakradhar, Michela Becchi, Da Li
A Multiple String Matching Method for Search Engine
(December 2012, Patent No.201010232463.2)
Tian Song, Da Li
