Da Li

According to our database, Da Li authored at least 16 papers between 2012 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Attributed Heterogeneous Graph Neural Network for Malicious Domain Detection.

Shuai Zhang, Zhou Zhou, Da Li, Youbing Zhong, Qingyun Liu, Wei Yang, Shu Li

Proceedings of the 24th IEEE International Conference on Computer Supported Cooperative Work in Design, 2021

2020

BPA: The Optimal Placement of Interdependent VNFs in Many-Core System.

Youbing Zhong, Zhou Zhou, Xuan Liu, Da Li, Meijun Guo, Shuai Zhang, Qingyun Liu, Li Guo

Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2020

2019

SAED: A Self-Adaptive Encryption and Decryption Architecture.

Youbing Zhong, Zhou Zhou, Da Li, Meijun Guo, Qingyun Liu, Yang Liu, Li Guo

Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019

NTS: A Scalable Virtual Testbed Architecture with Dynamic Scheduling and Backpressure.

Youbing Zhong, Zhou Zhou, Da Li, Wenliang He, Chao Zheng, Qingyun Liu, Li Guo

Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2019

2018

SASD: A Self-Adaptive Stateful Decompression Architecture.

Zhou Zhou, Xi Zhang, Qingyun Liu, Yujia Zhu, Da Li, Li Guo

Proceedings of the IEEE Global Communications Conference, 2018

2017

Fast Integral Histogram Computations on GPU for Real-Time Video Analytics.

Mahdieh Poostchi, Kannappan Palaniappan, Da Li, Michela Becchi, Filiz Bunyak, Guna Seetharaman

CoRR, 2017

2016

Compiler-Assisted Workload Consolidation for Efficient Dynamic Parallelism on GPU.

Hancheng Wu, Da Li, Michela Becchi

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016

Evaluating the Energy Efficiency of Deep Convolutional Neural Networks on CPUs and GPUs.

Da Li, Xinbo Chen, Michela Becchi, Ziliang Zong

Proceedings of the 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), 2016

2015

Nested Parallelism on GPU: Exploring Parallelization Templates for Irregular Loops and Recursive Computations.

Da Li, Hancheng Wu, Michela Becchi

Proceedings of the 44th International Conference on Parallel Processing, 2015

Exploiting Dynamic Parallelism to Efficiently Support Irregular Nested Loops on GPUs.

Da Li, Hancheng Wu, Michela Becchi

Proceedings of the 2015 International Workshop on Code Optimisation for Multi and Many Cores, 2015

2014

Large-Scale Pairwise Alignments on GPU Clusters: Exploring the Implementation Space.

Huan Truong, Da Li, Kittisak Sajjapongse, Gavin C. Conant, Michela Becchi

J. Signal Process. Syst., 2014

GRapid: A compilation and runtime framework for rapid prototyping of graph applications on many-core processors.

Da Li, Srimat T. Chakradhar, Michela Becchi

Proceedings of the 20th IEEE International Conference on Parallel and Distributed Systems, 2014

2013

Deploying Graph Algorithms on GPUs: An Adaptive Solution.

Da Li, Michela Becchi

Proceedings of the 27th IEEE International Symposium on Parallel and Distributed Processing, 2013

A distributed CPU-GPU framework for pairwise alignments on large-scale sequence datasets.

Da Li, Kittisak Sajjapongse, Huan Truong, Gavin C. Conant, Michela Becchi

Proceedings of the 24th International Conference on Application-Specific Systems, 2013

2012

Poster: Multiple Pairwise Sequence Alignments with the Needleman-Wunsch Algorithm on GPU.

Da Li, Michela Becchi

Proceedings of the 2012 SC Companion: High Performance Computing, 2012

Abstract: Multiple Pairwise Sequence Alignments with the Needleman-Wunsch Algorithm on GPU.

Da Li, Michela Becchi

Proceedings of the 2012 SC Companion: High Performance Computing, 2012