APC / IBM / Hewlett-Packard / Los Alamos National Laboratory / BP / NEC / LSI / Oracle / Seagate / EMC / DataDomain / Google / Facebook / Hitachi / Oak Ridge National Laboratory / Sandia National Laboratories / NetApp / Sun / Symantec / VMware / Intel / Microsoft / O. R. N. Laboratory / The HDF Group / /
Country
Italy / United States / /
Currency
USD / /
Facility
Los Alamos National Laboratory / Oak Ridge National Lab ¶Rutgers University / Carnegie Mellon University †Georgia Institute of Technology ‡Los Alamos National Lab / /
IndustryTerm
scientific applications / process / file systems / data services / Parallel file systems / parallel applications / large applications / middleware systems / scientific computing / /
MarketIndex
IOR / /
MusicAlbum
I/O / /
OperatingSystem
ADIOS / Posix / /
Organization
National Science Foundation / Rutgers University / Department of Energy / office of Science / Georgia Institute of Technology ‡Los Alamos National Lab / Institute for Reliable High Performance Information Technology / Carnegie Mellon University / Department of Defense / /
Person
Milo Polte / Manish Parashar / James Nunez / Gary Grider / Matthew Wolf / Norbert Podhorszki / Meghan Wingate / John Bent / G. A. Gibson / Qing Liu / Jay Lofstead / Garth Gibson / Scott A. Klasky / Karsten Schwan / B. Schroeder / /
Position
writer / /
ProvinceOrState
Texas / New York / Manitoba / /
PublishedMedium
Journal of Physics /
Technology
3-D / Information Technology / API / Simulation / /
...And eat it too: High read performance in write-optimized HPC I/O middleware file formats Milo Polte∗, Jay Lofstead†, John Bent‡, Garth Gibson∗, Scott A. Klasky§, Qing Liu§, Manish Parashar¶, Norbert Podhors