IBM / GPU / Oak Ridge National Laboratory / IEEE Press / AMD / NVIDIA / Intel / Microsoft / /
Country
United States / United Kingdom / /
Currency
AMD / USD / / /
Facility
CULA library / University of Tennessee / MAGMA library / University of Manchester / AMD Core Math Library / MAGMA BLAS library / LAPACK library / Scientific Subroutine Library / CUDA CUBLAS Library / Math Kernel Library / /
IndustryTerm
homogeneous x86-based multicore systems / on x86 multicore systems / homogeneous multicore systems / higher level algorithms / multicore x86-based systems / homogeneous multicore-based systems / computing / numerical algorithms / search space / fundamental linear algebra algorithms / web-page / /
OperatingSystem
Fermi / /
Organization
U.S. Department of Energy / U.S. National Science Foundation / Texas Advanced Computing Center / University of Tennessee / University of Manchester / /
Person
Antoine Petitet / R. Clinton Whaley / Everett Phillips / Vasily Volkov / James Demmel / BLAS DGEMM / Jack Dongarra / Massimiliano Fatica / / /
ProgrammingLanguage
C / /
ProvinceOrState
Tennessee / /
Technology
fundamental linear algebra algorithms / improved GEMM algorithm / shared memory / higher level algorithms / GEMM algorithm / /
An Improved MAGMA GEMM for Fermi GPUs Rajib Nath1 , Stanimire Tomov1 , and Jack Dongarra1,2,3 1 2