Dell / IBM / Filesystem Storage Hardware / Oak Ridge National Laboratory / The HDF Group Marc Snir Argonne National Laboratory / /
Currency
USD / /
Facility
HDF5 library / H5Tuner library / National Energy Research Scientific Computing Center / Argonne Leadership Computing Facility / University of Illinois / Joseph Huchette Rice University Ruth Aydt The HDF Group Marc Snir Argonne National Laboratory / Wes Bethel / Panda I/O library / Computing Facility / Texas Advanced Computing Center / I/O library / Auto-Tuning Babak Behzad University of Illinois / /
IndustryTerm
genetic evolution algorithms / scientific applications / approximation algorithm / potential solutions / adaptive heuristic search approaches / file systems / exhaustive search / arbitrary applications / respective applications / parallel file systems / electromagnetic systems / genetic algorithm / real scientific applications / search-based algorithms / near-optimal solution / genetic algorithms / heuristic based search approach / individual applications / di↵erent systems / search space reduction technique / deeper software / di↵erent applications / parameters using search heuristics / search space / search time / real system using search heuristics / highperformance computing / spent optimizing individual applications / /
MarketIndex
VPIC / GCRMIO / VPICIO / /
MusicAlbum
I/O / /
OperatingSystem
POSIX / /
Organization
U.S. Department of Energy / Los Alamos National Lab / office of Advanced Scientific Computing Research / Texas Advanced Computing Center / Rice University / office of Science / University of Illinois / Urbana-Champaign Surendra Byna Lawrence Berkeley National Laboratory / National Energy Research Scientific Computing Center / US Federal Reserve / /
Person
John Shalf / Huong Vu Thanh / Mohamad Chaarawi / Lawrence Berkeley / Bill Gropp / / /
Taming Parallel I/O Complexity with Auto-Tuning Babak Behzad University of Illinois at Urbana-Champaign