Da Li

Affiliations:
  • Facebook Inc.
  • University of Missouri, Department of Electrical and Computer Engineering, Columbia, MO, USA (PhD)


According to our database1, Da Li authored at least 16 papers between 2012 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2021
Attributed Heterogeneous Graph Neural Network for Malicious Domain Detection.
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.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2020

2019
SAED: A Self-Adaptive Encryption and Decryption Architecture.
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.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2019

2018
SASD: A Self-Adaptive Stateful Decompression Architecture.
Proceedings of the IEEE Global Communications Conference, 2018

2017
Fast Integral Histogram Computations on GPU for Real-Time Video Analytics.
CoRR, 2017

2016
Compiler-Assisted Workload Consolidation for Efficient Dynamic Parallelism on GPU.
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.
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.
Proceedings of the 44th International Conference on Parallel Processing, 2015

Exploiting Dynamic Parallelism to Efficiently Support Irregular Nested Loops on GPUs.
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.
J. Signal Process. Syst., 2014

GRapid: A compilation and runtime framework for rapid prototyping of graph applications on many-core processors.
Proceedings of the 20th IEEE International Conference on Parallel and Distributed Systems, 2014

2013
Deploying Graph Algorithms on GPUs: An Adaptive Solution.
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.
Proceedings of the 24th International Conference on Application-Specific Systems, 2013

2012
Poster: Multiple Pairwise Sequence Alignments with the Needleman-Wunsch Algorithm on GPU.
Proceedings of the 2012 SC Companion: High Performance Computing, 2012

Abstract: Multiple Pairwise Sequence Alignments with the Needleman-Wunsch Algorithm on GPU.
Proceedings of the 2012 SC Companion: High Performance Computing, 2012


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