LAPACK and ScaLAPACK Survey Results - ordered by question

[view answers grouped by response]


General


Question #7. Do you use any other sequential or parallel dense linear algebra packages other than LAPACK or ScaLAPACK?

Response Count Percent
no 16 22%
PLAPACK 14 19%
ESSL 3 4%
BLAS 2 2%
PESSL 1 1%
linpack 1 1%
scilib 1 1%
Paradiso 1 1%
CLAPACK 1 1%
PLAPACK, Pliris 1 1%
ESSL, CXML (LAPACK-based) 1 1%
IBM ESSL 1 1%
IBM's ESSL 1 1%
Steven Kenny 1 1%
NAG 1 1%
super_lu_dist, petsc 1 1%
Peigs 1 1%
mumps 1 1%
ESSL, NAG 1 1%
NAG, IMSL, ESSL (IBM), ASL (NEC) 1 1%
PETSc 1 1%
Yes 1 1%
PLAPACK, Trilinos, Parallel ESSL 1 1%
Compact Numerical Methods / Pascal 1 1%
none 1 1%
Lee Samuel Finn 1 1%
Arpack 1 1%
ARPACK, BLZPACK 1 1%
perhaps the 'parallel relatively robust representation' code. It has less memory requirements which favours a small cluster. 1 1%
ARPACK and PARPACK 1 1%
BNCpack, MPIBNCpack 1 1%
fftw 1 1%
ATLAS, in-house modular LA packages for rational (not float) problems 1 1%
BLAS of course 1 1%
ATLAS 1 1%
some OpenMP blas 1 1%
amd acml library, Intel mkl library 1 1%
umfpack 1 1%
BLAS, linpack, eispack (legacy code) 1 1%
FLAME, PLAPACK 1 1%








Tue May 21 09:00:30 2013
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