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Shuaiwen Leon Song

  • Affiliate Assistant Professor


I am currently a senior staff scientist and technical lead in High Performance Computing Group at Pacific Northwest National Lab (PNNL). I received my Ph.D. in Computer Science from Virginia Tech in 2013. Prior to joining PNNL in 2013, I worked with several government and industrial labs including Center for Advanced Computing (CASC) at Lawrence Livermore National Lab (LLNL), Performance Analysis Lab (PAL) at Pacific Northwest National Lab (PNNL), and the Architecture Research Division at NEC Research American at Princeton. I am a recipient of 2011 Livermore ISCR scholar, 2011 Paul E. Torgersen Excellent research award, 2015/2016 PNNL PCSD outstanding performance award, two Supercomputing best paper nominations (2015 and 2017) and a 2017 HiPEAC paper award. In 2017, I have been honored with IEEE TCHPC early career award in Supercomputing’17 conference. I have published in the major HPC and architecture conferences including ASPLOS, MICRO, HPCA and SC; and some of my research has been featured in DoE research spotlights as well as media outlets. I have served as organizing committee or PC member for several leading HPC and system architecture venues. My past and current research are funded by government agencies including DOE Office of Science ASCR, DoD, DARPA and Lab LDRD. I have also been collaborating with major U.S. Universities and industry labs (e.g., Intel, NVIDIA research and Micorosoft research). I am currently leading two DOE Lab LDRD projects on System ML and Big Data analytics on complex architectures. I am best known for my early works in modeling techniques (e.g., iso-energy-efficiency model) and accelerator-driven co-design for emerging applications.


Hardware-Software Co-design

High Performance Computing

Emerging architectures

System-Aided Deep Learning (System ML)

Co-Design for immersive computing (e.g., Virtual Reality )

Shuaiwen Leon Song Headshot
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  • Ph.D., 2013
    Virginia Tech