Bin Dong

About Bin Dong

Passionate computer scientist and engineer with over ten years of R&D experience in Big data storage, index, search, analysis, and visualization. Significant experience with applying statistics or machine learning techniques (e.g. regression, clustering, time series, CNN) in mathematical modeling, system design and optimizations toward resolving real-world problems. Team player with solid group coordination, written and oral communication skills. My work are anchored by a list of open-source software and a strong publication and professional service record in conferences and journals, e.g, SIGMOD, JPDC, HPDC, SC, IPDPS and

Experience

1. Computational Research Scientist

   Berkeley Lab

   Feb 2016 — Present · Berkeley, CA, US

   DASSA, a scalable data analysis engine and signal processing library (like Matlab Signal Processing toolbox) for terabyte data from Distributed Acoustic Sensing (DAS) https://bitbucket.org/dbin_sdm/dassa/src/master/(/w permission)• FasTensor, a structure locality-aware parallel data processing system towards replacing MapReduce/Spark paradigms for multi-dimensional array processing, such as convolution used by CNN. It is faster than Spark and 26%X faster than TensorFlow. https://bitbucket.org/berkeleylab/fastensor/src/master/.• SDS, an autonomous data management framework for optimally selecting data index/organization to accelerate terabyte or even exascale-byte data analysis and mining on supercomputer. https://code.lbl.gov/svn/sds/(/w permission)• DataElevator, an ad-hoc software to perform low-contention data movement in deep-hierarchical storage system. https://bitbucket.org/sbyna/dataelevator.• ExaHDF5, a HDF5 array data model based library to scale its key features to upcoming exascale super computing. https://sdm.lbl.gov/exahdf5/• Proactive Data Containers (PDC), an object-based data abstraction for emerging HPC systems which are expected to be deployed with an unprecedented level of complexity, due to a very deep system memory/storage hierarchy. https://sdm.lbl.gov/pdc/• SDS-Sort, the first parallel sorting algorithm with upper bound of O(4Np ) on load balancing, scaling to 130K CPU cores and having sorting throughput of 117 TB/min.

Education

• University of Electronic Science and Technology of China

  Bachelor's degree, Computer Science

  2004 — 2008

• Beihang University

  Doctor of Philosophy (PhD), Computer Science , Parallel I/O

  2008 — 2013

Skills

• Machine Learning
• C
• Programming
• Linux
• Algorithms
• Tensorflow
• Map-Reduce
• Java
• Mysql
• High Performance Computing
• Parallel Computing
• Scidb
• Eclipse
• Software Development
• Python
• C++
• Apache Spark
• Mpi
• Software Engineering
• Computer Science