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
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
Improved treatment of exact exchange in Quantum ESPRESSO
Authors: Barnes, TA; Kurth, T; Carrier, P; Wichmann, N; Prendergast, D; Kent, PRC
May 2017, Computer Physics Communications
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