2024
Fluid-Shuttle: Efficient Cloud Data Transmission Based on Serverless Computing Compression.
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IEEE/ACM Trans. Netw., December, 2024
Scaling Inter-procedural Dataflow Analysis on the Cloud.
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CoRR, 2024
2023
Coral: federated query join order optimization based on deep reinforcement learning.
World Wide Web (WWW), September, 2023
BigDataflow: A Distributed Interprocedural Dataflow Analysis Framework.
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Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023
Time and Cost-Efficient Cloud Data Transmission based on Serverless Computing Compression.
Proceedings of the IEEE INFOCOM 2023, 2023
Efficient Large Scale Reverse-time Migration Imaging Computation based on Distributed Spark Cluster with GPUs.
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023
Parallel Integrity Authentication Data Structure Construction for Encrypted Range Queries.
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023
2022
Octopus-DF: Unified DataFrame-based cross-platform data analytic system.
Parallel Comput., 2022
Towards Efficient Reverse-time Migration Imaging Computation by Pipeline and Fine-grained Execution Parallelization.
Proceedings of the 25th IEEE International Conference on Computational Science and Engineering, 2022
2021
Towards Efficient Distributed Subgraph Enumeration Via Backtracking-Based Framework.
IEEE Trans. Parallel Distributed Syst., 2021
Towards Efficient Large-Scale Interprocedural Program Static Analysis on Distributed Data-Parallel Computation.
IEEE Trans. Parallel Distributed Syst., 2021
Alchemy: Distributed financial quantitative analysis system with high-level programming model.
Softw. Pract. Exp., 2021
VSIM: Distributed local structural vertex similarity calculation on big graphs.
J. Parallel Distributed Comput., 2021
SparkDQ: Efficient generic big data quality management on distributed data-parallel computation.
J. Parallel Distributed Comput., 2021
Empirical analysis of performance bottlenecks in graph neural network training and inference with GPUs.
Neurocomputing, 2021
UniGPS: A Unified Programming Framework for Distributed Graph Processing.
Proceedings of the 27th IEEE International Conference on Parallel and Distributed Systems, 2021
2020
Distributed Subgraph Enumeration via Backtracking-based Framework.
CoRR, 2020
2019
BigSpa: An Efficient Interprocedural Static Analysis Engine in the Cloud.
Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019
BENU: Distributed Subgraph Enumeration with Backtracking-Based Framework.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019
2018
Penguin: Efficient Query-Based Framework for Replaying Large Scale Historical Data.
IEEE Trans. Parallel Distributed Syst., 2018
2015
iPLAR: Towards Interactive Programming with Parallel Linear Algebra in R.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2015
Unified Programming Model and Software Framework for Big Data Machine Learning and Data Analytics.
Proceedings of the 39th Annual Computer Software and Applications Conference, 2015
Efficient large scale distributed matrix computation with spark.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015
2014
Training Large Scale Deep Neural Networks on the Intel Xeon Phi Many-Core Coprocessor.
Proceedings of the 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014