Brian Austin
Computer Systems Engineer
National Energy Research Scientific Computing Center (NERSC)
HPC Technology Dept.
Advanced Technologies Group
Brian Austin is a member of the Advanced Technologies Group (ATG) in computational research at Berkeley Lab. His research explores the intersection of scientific computing algorithms and HPC system architecture. This work combines application profiling, performance modeling, workload analysis, and workflow analysis to understand how all levels of the hardware architecture, from core microarchitecture to processors, nodes, interconnect, and infrastructure, influence the productivity of integrated HPC systems. He has over twenty years of experience in HPC and has published more than 40 papers in this field. Prior to joining ATG, Brian was a Petascale postdoctoral fellow at NERSC. He earned a Ph.D. in Chemistry from the University of California, Berkeley, and a B.A. in Liberal Arts from Reed College in Portland, Oregon.
Education
Ph.D. - University of California, USA
BA - Reed College, United States
Recent Publications
Galactos
Authors: Friesen, B; Patwary, MA; Austin, B; Satish, N; Slepian, Z; Sundaram, N
November 2017, International Conference for High Performance Computing, Networking, Storage and Analysis, SC
Lessons Learned from Optimizing Science Kernels for Intel's "Knights Corner"' Architecture
Authors: Deslippe, J; Austin, B; Daley, C; Yang, W-S
May 2015, Computing in Science and Engineering
Advances in molecular quantum chemistry contained in the Q-Chem 4 program package
Authors: Shao, Y; Gan, Z; Epifanovsky, E; Gilbert, ATB; Wormit, M; Kussmann, J
January 2015, Molecular Physics
Next Generation Light Source R&D and Design Studies at LBNL
Authors: Corlett, JN
August 2012
Galactos: Computing the Anisotropic 3-Point Correlation Function for 2 Billion Galaxies.
Authors: Friesen, B; Patwary, MMA; Austin, B; Satish, N; Slepian, Z; Sundaram, N
January 2017
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