Jack Deslippe
Application Performance Group Lead
National Energy Research Scientific Computing Center (NERSC)
Science Engagement & Workflows Dept.
Application Performance Group
Jack Deslippe leads the Applications Performance Group. He received a Ph.D. from UC Berkeley in physics in 2011. His research centered on materials physics and nano-science: scaling many-body Green's function computational methods for the study of the optical properties of materials with large and complex structures
Education
PhD - University of California, Berkeley, United States
Recent Publications
Preparing NERSC users for Cori, a Cray XC40 system with Intel many integrated cores
Authors: He, Y; Cook, B; Deslippe, J; Friesen, B; Gerber, R; Hartman‐Baker, R
January 2018, Concurrency Computation Practice and Experience
A Structure Preserving Lanczos Algorithm for Computing the Optical Absorption Spectrum
Authors: Shao, M; da Jornada, FH; Lin, L; Yang, C; Deslippe, J; Louie, SG
January 2018, SIAM Journal on Matrix Analysis and Applications
Evaluating the networking characteristics of the Cray XC‐40 Intel Knights Landing‐based Cori supercomputer at NERSC
Authors: Doerfler, D; Austin, B; Cook, B; Deslippe, J; Kandalla, K; Mendygral, P
January 2018, Concurrency Computation Practice and Experience
Python in the NERSC Exascale Science Applications Program for Data
Authors: Ronaghi, Z; Thomas, R; Deslippe, J; Bailey, S; Gursoy, D; Kisner, T
November 2017
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