Da Li

Publication Activity (10 Years)

Years Active: 2012-2021
Publications (10 Years): 9

Top Topics

Integral Histogram

Graphic Processing Unit

Convolutional Neural Networks

Top Venues

Publications

Shuai Zhang, Zhou Zhou, Da Li, Youbing Zhong, Qingyun Liu, Wei Yang, Shu Li
Attributed Heterogeneous Graph Neural Network for Malicious Domain Detection. CSCWD (2021)
Youbing Zhong, Zhou Zhou, Xuan Liu, Da Li, Meijun Guo, Shuai Zhang, Qingyun Liu, Li Guo
BPA: The Optimal Placement of Interdependent VNFs in Many-Core System. CollaborateCom (2) (2020)
Youbing Zhong, Zhou Zhou, Da Li, Wenliang He, Chao Zheng, Qingyun Liu, Li Guo
NTS: A Scalable Virtual Testbed Architecture with Dynamic Scheduling and Backpressure. CollaborateCom (2019)
Youbing Zhong, Zhou Zhou, Da Li, Meijun Guo, Qingyun Liu, Yang Liu, Li Guo
SAED: A Self-Adaptive Encryption and Decryption Architecture. ISPA/BDCloud/SocialCom/SustainCom (2019)
Zhou Zhou, Xi Zhang, Qingyun Liu, Yujia Zhu, Da Li, Li Guo
SASD: A Self-Adaptive Stateful Decompression Architecture. GLOBECOM (2018)
Mahdieh Poostchi, Kannappan Palaniappan, Da Li, Michela Becchi, Filiz Bunyak, Guna Seetharaman
Fast Integral Histogram Computations on GPU for Real-Time Video Analytics. CoRR (2017)
Hancheng Wu, Da Li, Michela Becchi
Compiler-Assisted Workload Consolidation For Efficient Dynamic Parallelism on GPU. CoRR (2016)
Da Li, Xinbo Chen, Michela Becchi, Ziliang Zong
Evaluating the Energy Efficiency of Deep Convolutional Neural Networks on CPUs and GPUs. BDCloud-SocialCom-SustainCom (2016)
Hancheng Wu, Da Li, Michela Becchi
Compiler-Assisted Workload Consolidation for Efficient Dynamic Parallelism on GPU. IPDPS (2016)
Da Li, Hancheng Wu, Michela Becchi
Exploiting Dynamic Parallelism to Efficiently Support Irregular Nested Loops on GPUs. COSMIC@CGO (2015)
Da Li, Hancheng Wu, Michela Becchi
Nested Parallelism on GPU: Exploring Parallelization Templates for Irregular Loops and Recursive Computations. ICPP (2015)
Huan Truong, Da Li, Kittisak Sajjapongse, Gavin C. Conant, Michela Becchi
Large-Scale Pairwise Alignments on GPU Clusters: Exploring the Implementation Space. J. Signal Process. Syst. 77 (1-2) (2014)
Da Li, Srimat T. Chakradhar, Michela Becchi
GRapid: A compilation and runtime framework for rapid prototyping of graph applications on many-core processors. ICPADS (2014)
Da Li, Kittisak Sajjapongse, Huan Truong, Gavin C. Conant, Michela Becchi
A distributed CPU-GPU framework for pairwise alignments on large-scale sequence datasets. ASAP (2013)
Da Li, Michela Becchi
Deploying Graph Algorithms on GPUs: An Adaptive Solution. IPDPS (2013)
Da Li, Michela Becchi
Poster: Multiple Pairwise Sequence Alignments with the Needleman-Wunsch Algorithm on GPU. SC Companion (2012)
Da Li, Michela Becchi
Abstract: Multiple Pairwise Sequence Alignments with the Needleman-Wunsch Algorithm on GPU. SC Companion (2012)