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Leon Song

High Performance Computing
Scientist
Pacific Northwest National Laboratory
PO Box 999
MSIN: J4-30
Richland, WA 99352

Biography

Dr. Shuaiwen Leon Song is a research staff scientist for PAL lab at Pacific Northwest National Lab. He graduated with a Master's and Ph.D. degree in Computer Science And Applications from Virginia Tech in May 2013. He was a member of SCAPE lab directed by Dr. Kirk W. Cameron at Virginia Tech. The central theme of his research is to improve power and performance efficiency in high performance computing (HPC) systems and applications. In the past, he worked very closely with government and industry research labs including PNNL, LLNL, and NEC research America. He is a recipient of 2011 Paul E. Torgersen excellent research award and 2011 LLNL ISCR scholar. His research page is located at: https://sites.google.com/site/shuaiwensongsresearch/

Research Interests

  • Performance and Energy modeling/analysis for HPC systems, highly efficient Parallel system and application design
  • Performance/Power optimization on Multi-core and Many-core architectures (e.g. emergent many-core accelerators)
  • Power-aware computing and energy-efficient design for large scale distributed systems
  • Runtime System

Education and Credentials

  • Ph.D. in Computer Science and Application, Virginia Tech, May 2013
  • Master's in Computer Science and Application, Virginia Tech, May 2009

Affiliations and Professional Service

  • IEEE professional
  • ACM professional
  • ACM SIGHPC
  • Upsilon Pi Epsilon

Awards and Recognitions

  • IEEE/ACM SC'12 travel grant
  • ACM PACT'12 ACM SRC research competition travel grant by Microsoft Research
  • IEEE/ACM SC'11 selected doctoral research showcase
  • 2011 Paul E. Torgersen excellent Ph.D. research award
  • NSF/TCPP travel award for IPDPS 2011, Alaska
  • 2011 ISCR scholar, Lawrence Livermore National Lab
  • Outstanding model award, National Mathematic Modeling Contest, 2005

PNNL Publications

2014

  • You Y, S Song, H Fu, A Marquez, M Mehri Dehanavi, KJ Barker, K Cameron, A Randles, and G Yang. 2014. "MIC-SVM: Designing A Highly Efficient Support Vector Machine For Advanced Modern Multi-Core and Many-Core Architectures." In IEEE 28th International Parallel and Distributed Processing Symposium (IPDPS 2014), May 19-23, 2014, Phoenix, Arizona, pp. 809-818.  IEEE Computer Society, Los Alamitos, CA.  doi:10.1109/IPDPS.2014.88

2013

  • Li B, S Song, I Bezakova, and K Cameron. 2013. "EDR: An Energy-Aware Runtime Load Distribution System for Data-Intensive Applications in the Cloud." In IEEE International Conference on Cluster Computing (CLUSTER 2013), September 23-27, 2013, Indianapolis, IN, pp. 1-8.  Institute of Electrical and Electronics Engineers , Piscataway, NJ.  doi:10.1109/CLUSTER.2013.6702674
  • Song S, KJ Barker, and DJ Kerbyson. 2013. "Unified Performance and Power Modeling of Scientific Workloads." In E2SC '13 Proceedings of the 1st International Workshop on Energy Efficient Supercomputing, November 17-21, 2013, Denver, Colorado, p. Article No. 4.  Association for Computing Machinery, New York, NY.  doi:10.1145/2536430.2536435

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