Skip to Main Content U.S. Department of Energy
Fundamental and Computational Sciences Directorate

Staff information

Bin

Bin Ren

High Performance Computing
Post Doctorate RA C
Pacific Northwest National Laboratory
PO Box 999
MSIN: J4-30
Richland, WA 99352

Biography

Bin Ren received his Ph.D from the Department of Computer Science and Engineering, The Ohio State University, in May, 2014. His advisor is Professor Gagan Agrawal. Currently, he is a Post-doctoral research associate in High Performance Computing group of Pacific Northwest National Laboratory with Dr. Sriram Krishnamoorthy. For more information, please check his personal web page: https://sites.google.com/site/renohiostate/.

Research Interests

  • Parallel Computing
  • Compiler Analysis, and Code Generation
  • Data Intensive and Data Mining Algorithms

Education and Credentials

  • PhD, Master, The Ohio State University, Computer Science and Engineering, 2008 - 2014
  • Master, Beihang University, Computer Software Engineering, 2006 - 2008
  • Bachelor, Beihang University, Computer Software Engineering, 2002 - 2006

Affiliations and Professional Service

  • ACM professional member

Awards and Recognitions

  • 2013 International Symposium on Code Generation and Optimization (CGO), Best Paper Award, SIGPLAN Research Highlights
  • 2012 International Conference on Parallel Architectures and Compilation Techniques (PACT), Travel Award
  • 2011 International Conference on Parallel Architectures and Compilation Techniques (PACT), Travel Award
  • 2008 University Fellowship, The Ohio State University
  • 2006 Award of Outstanding Graduates, Beihang University

PNNL Publications

2015

  • Ren B, Y Jo, S Krishnamoorthy, K Agrawal, and M Kulkarni. 2015. "Efficient Execution of Recursive Programs on Commodity Vector Hardware." In Proceedings of the 36th Annual ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI 2015), June 13-17, 2015, Portland, Oregon, pp. 509-520.  ACM , New York, NY.  doi:10.1145/2737924.2738004

Fundamental & Computational Sciences

User Facilities

Research Areas

Divisions

Research Highlights

View All Research Highlights & Staff Accomplishments

RSS Feed

Contacts