Research Scientist, Scientific Data Management (SDM) Group, LBNL, Feb 2016 - Present
Postdoctoral Research Fellow, Scientific Data Management (SDM) Group, LBNL, Feb 2013 - Feb 2016.
Ph.D. in Computer Science and Technology, Beihang University, China, January 2013.
B.S. in Computer Science and Technology, University of Electronic and Science Technology of China, June 2008.
Bin's research interests are in scale scientific data management, parallel storage system, parallel computing, etc.
Currently, Bin is exploring new algorithms and data structures for sorting, organizing, indexing,
searching, analyzing Big scientific data (mostly as array) with supercomputers.
One of interesting projects he is working on is: SDS: A Framework for Scientific Data Services
Full publication lists are here: Google Scholar
Temporary address for the software I am working on:
SDS framework (/w permission): https://code.lbl.gov/svn/sds/
ArrayUDF : https://bitbucket.org/arrayudf/
DataElevator : https://bitbucket.org/sbyna/dataelevator
SDS-Sort: to coming
Bin Dong, Xiuqiao Li, Limin Xiao, Li Ruan, "Towards minimizing disk I/O contention: A partitioned file assignment approach", Future Generation Computer Systems, Volume 37, July 2014, Pages 178-190, 2014,
Bin Dong, Xiuqiao Li, Qimeng Wu, Limin Xiao, Li Ruan, "A dynamic and adaptive load balancing strategy for parallel file system with large-scale I/O servers", Journal of Parallel and Distributed Computing (JPDC), Volume 72, Issue 10, October 2012, Pages 1254-1268, 2012,
Bin Dong, Kesheng Wu, Surendra Byna, Jialin Liu, Weijie Zhao, Florin Rusu, "ArrayUDF: User-Defined Scientific Data Analysis on Arrays", The ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC) 2017 (Acceptance rate:19%), June 26, 2017,
- Download File: hpdc02.pdf (pdf: 921 KB)
Weijie Zhao, Florin Rusu, Bin Dong, Kesheng Wu, and Peter Nugent, "Incremental View Maintenance over Array Data", In Proceedings of the 2017 ACM International Conference on Management of Data (SIGMOD '17) (Acceptance rate: 20%). ACM, New York, NY, USA, May 14, 2017,
Bin Dong, Suren Byna, Kesheng Wu, Prabhat, Hans Johansen, Jeffrey N. Johnson, and Noel Keen, "Data Elevator: Low-contention Data Movement in Hierarchical Storage System", The 23rd annual IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC) (Acceptance rate: 25%), December 19, 2016,
- Download File: 201612-DataElevator-HiPC2016-Bin-Byna.pdf (pdf: 765 KB)
Wenzhao Zhang, Houjun Tang, Stephen Ranshous, Surendra Byna, Daniel F Martín, Kesheng Wu, Bin Dong, Scott Klasky, Nagiza F Samatova, "Exploring memory hierarchy and network topology for runtime AMR data sharing across scientific applications", 2016 IEEE International Conference on Big Data (Big Data) (Acceptance rate: 19.39% as short papers.), December 5, 2016,
Houjun Tang, Suren Byna, Steve Harenberg, Wenzhao Zhang, Xiaocheng Zou, Daniel F Martin, Bin Dong, Dharshi Devendran, Kesheng Wu, David Trebotich, others, "In Situ Storage Layout Optimization for AMR Spatio-temporal Read Accesses", 2016 45th International Conference on Parallel Processing (ICPP) (Acceptance rate: 21.1%), August 16, 2016, 406--415,
Bin Dong, Suren Byna, and Kesheng Wu,, "SDS-Sort: Scalable Dynamic Skew-aware Parallel Sorting", The ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC) 2016, July 1, 2016,
- Download File: SDS-Sort.pdf (pdf: 450 KB)