Da Li

17 papers A 2B 3C 2Journal 3Unranked 7
YearRankTypeTitle / Venue / Authors
2021 C conf
Attributed Heterogeneous Graph Neural Network for Malicious Domain Detection.
CSCWD
Shuai Zhang, Zhou Zhou, Da Li, Youbing Zhong, Qingyun Liu, Wei Yang, Shu Li
2020 — conf
BPA: The Optimal Placement of Interdependent VNFs in Many-Core System.
CollaborateCom (2)
Youbing Zhong, Zhou Zhou, Xuan Liu, Da Li, Meijun Guo, Shuai Zhang, Qingyun Liu, Li Guo
2019 C conf
NTS: A Scalable Virtual Testbed Architecture with Dynamic Scheduling and Backpressure.
CollaborateCom
Youbing Zhong, Zhou Zhou, Da Li, Wenliang He, Chao Zheng, Qingyun Liu, Li Guo
2019 — conf
SAED: A Self-Adaptive Encryption and Decryption Architecture.
ISPA/BDCloud/SocialCom/SustainCom
Youbing Zhong, Zhou Zhou, Da Li, Meijun Guo, Qingyun Liu, Yang Liu, Li Guo
2018 B conf
SASD: A Self-Adaptive Stateful Decompression Architecture.
GLOBECOM
Zhou Zhou, Xi Zhang, Qingyun Liu, Yujia Zhu, Da Li, Li Guo
2017 J jnl
Fast Integral Histogram Computations on GPU for Real-Time Video Analytics.
CoRR
Mahdieh Poostchi, Kannappan Palaniappan, Da Li, Michela Becchi, Filiz Bunyak, Guna Seetharaman
2016 J jnl
Compiler-Assisted Workload Consolidation For Efficient Dynamic Parallelism on GPU.
CoRR
Hancheng Wu, Da Li, Michela Becchi
2016 A conf
Compiler-Assisted Workload Consolidation for Efficient Dynamic Parallelism on GPU.
IPDPS
Hancheng Wu, Da Li, Michela Becchi
2016 — conf
Evaluating the Energy Efficiency of Deep Convolutional Neural Networks on CPUs and GPUs.
BDCloud-SocialCom-SustainCom
Da Li, Xinbo Chen, Michela Becchi, Ziliang Zong
2015 — conf
Exploiting Dynamic Parallelism to Efficiently Support Irregular Nested Loops on GPUs.
COSMIC@CGO
Da Li, Hancheng Wu, Michela Becchi
2015 B conf
Nested Parallelism on GPU: Exploring Parallelization Templates for Irregular Loops and Recursive Computations.
ICPP
Da Li, Hancheng Wu, Michela Becchi
2014 B conf
GRapid: A compilation and runtime framework for rapid prototyping of graph applications on many-core processors.
ICPADS
Da Li, Srimat T. Chakradhar, Michela Becchi
2014 J jnl
Large-Scale Pairwise Alignments on GPU Clusters: Exploring the Implementation Space.
J. Signal Process. Syst.
Huan Truong, Da Li, Kittisak Sajjapongse, Gavin C. Conant, Michela Becchi
2013 — conf
A distributed CPU-GPU framework for pairwise alignments on large-scale sequence datasets.
ASAP
Da Li, Kittisak Sajjapongse, Huan Truong, Gavin C. Conant, Michela Becchi
2013 A conf
Deploying Graph Algorithms on GPUs: An Adaptive Solution.
IPDPS
Da Li, Michela Becchi
2012 — conf
Abstract: Multiple Pairwise Sequence Alignments with the Needleman-Wunsch Algorithm on GPU.
SC Companion
Da Li, Michela Becchi
2012 — conf
Poster: Multiple Pairwise Sequence Alignments with the Needleman-Wunsch Algorithm on GPU.
SC Companion
Da Li, Michela Becchi