L
Laura Carrington
Researcher at San Diego Supercomputer Center
Publications - 72
Citations - 2611
Laura Carrington is an academic researcher from San Diego Supercomputer Center. The author has contributed to research in topics: Supercomputer & Energy consumption. The author has an hindex of 24, co-authored 71 publications receiving 2161 citations. Previous affiliations of Laura Carrington include Scripps Health & University of California, Berkeley.
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Journal ArticleDOI
Recent developments in the general atomic and molecular electronic structure system.
Giuseppe M. J. Barca,Colleen Bertoni,Laura Carrington,Dipayan Datta,Nuwan De Silva,J. Emiliano Deustua,Dmitri G. Fedorov,Jeffrey R. Gour,Anastasia O. Gunina,Emilie B. Guidez,Taylor Harville,Stephan Irle,Joe Ivanic,Karol Kowalski,Sarom S. Leang,Hui Li,Wei Li,Jesse J. Lutz,Ilias Magoulas,Joani Mato,Vladimir Mironov,Hiroya Nakata,Buu Q. Pham,Piotr Piecuch,David Poole,Spencer R. Pruitt,Alistair P. Rendell,Luke Roskop,Klaus Ruedenberg,Tosaporn Sattasathuchana,Michael W. Schmidt,Jun Shen,Lyudmila V. Slipchenko,Masha Sosonkina,Vaibhav Sundriyal,Ananta Tiwari,Jorge L. Galvez Vallejo,Bryce Westheimer,Marta Włoch,Peng Xu,Federico Zahariev,Mark S. Gordon +41 more
TL;DR: A discussion of many of the recently implemented features of GAMESS (General Atomic and Molecular Electronic Structure System) and LibCChem (the C++ CPU/GPU library associated with GAMESS) is presented, which include fragmentation methods, hybrid MPI/OpenMP approaches to Hartree-Fock, and resolution of the identity second order perturbation theory.
Proceedings ArticleDOI
A Framework for Performance Modeling and Prediction
TL;DR: A framework for performance modeling and prediction that is faster than cycle-accurate simulation, more informative than simple benchmarking, and is shown useful for performance investigations in several dimensions is presented.
Proceedings ArticleDOI
PEBIL: Efficient static binary instrumentation for Linux
TL;DR: A static binary instrumentation toolkit forLinux on the x86/x86_64 platforms, PEBIL (PMaC's Efficient Binary Instrumentation Toolkit for Linux) is presented, designed with the primary goal of producing efficient-running instrumented code.
ReportDOI
DOE Advanced Scientific Computing Advisory Subcommittee (ASCAC) Report: Top Ten Exascale Research Challenges
Robert F. Lucas,James A. Ang,Keren Bergman,Shekhar Borkar,William Carlson,Laura Carrington,George Liang-Tai Chiu,Robert Colwell,William J. Dally,Jack Dongarra,Al Geist,Rud Haring,Jeffrey Hittinger,Adolfy Hoisie,Dean Micron Klein,Peter M. Kogge,Richard Lethin,Vivek Sarkar,Robert Schreiber,John Shalf,Thomas Sterling,Rick Stevens,Jon Bashor,Ron Brightwell,Paul W. Coteus,Erik Debenedictus,Jon Hiller,K. H. Kim,M. Harper Langston,Richard Micron Murphy,Clayton G. Webster,Stefan M. Wild,Gary Grider,Robert Ross,Sven Leyffer,James H. Laros +35 more
TL;DR: Drawing from reports and more recent experience, this ASCAC subcommittee has identified the top ten computing technology advancements that are critical to making a capable, economically viable, exascale system.
Journal ArticleDOI
A performance prediction framework for scientific applications
TL;DR: In this article, the authors present the results of ongoing investigations in the development of a performance modeling framework, developed by the Performance Modeling and Characterization (PMaC) Lab at the San Diego Supercomputer Center.