A Comparative Measurement Study of Deep Learning as a Service Framework.
IEEE Trans. Serv. Comput., 2022
Memory Optimizations for Distributed executors in Big Data Clouds.
PhD thesis, 2020
Memory Abstraction and Optimization for Distributed Executors.
Proceedings of the 6th IEEE International Conference on Collaboration and Internet Computing, 2020
Memory Disaggregation: Research Problems and Opportunities.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019
C-Stream: A Co-routine-Based Elastic Stream Processing Engine.
ACM Trans. Parallel Comput., 2018
Efficient Shared Memory Orchestration towards Demand Driven Memory Slicing.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018
Benchmarking Deep Learning Frameworks: Design Considerations, Metrics and Beyond.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018
Experimental Characterizations and Analysis of Deep Learning Frameworks.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
JVM Configuration Management and Its Performance Impact for Big Data Applications.
Proceedings of the 2016 IEEE International Congress on Big Data, San Francisco, CA, USA, June 27, 2016
Evaluation and Analysis of In-Memory Key-Value Systems.
Proceedings of the 2016 IEEE International Congress on Big Data, San Francisco, CA, USA, June 27, 2016