Houjun Tang (唐厚君) is currently a Postdoctoral Researcher in Scientific Data Management Group at Berkeley Lab. His research interests include data management, storage systems, parallel I/O, and high performance computing. Tang received his Ph.D in Computer Science from North Carolina State University in 2016, and a B.Eng in Computer Science from Shenzhen University, China in 2012. The projects that Dr. Tang is currently working on include: PDC: Proactive Data Containers for next generation HPC storage, ExaHDF5: Advancing HPC I/O to Enable Scientific Discovery, and EOD-HDF5: Advancing HDF5 for Managing Experimental and Observational Data.
Bin Dong, Kesheng Wu, Suren Byna, Houjun Tang, "SLOPE: Structural Locality-aware Programming Model for Composing Array Data Analysis", ISC 2019 ((Acceptance rate:24%),), June 16, 2019,
- Download File: slope-cr.pdf (pdf: 623 KB)
Bin Dong, Teng Wang, Houjun Tang, Quincey Koziol, Kesheng Wu, and Suren Byna, "ARCHIE: Data Analysis Acceleration with Array Caching in Hierarchical Storage", IEEE BigData, 2018, December 10, 2018,
- Download File: DataElevator-ARCHIE.pdf (pdf: 613 KB)