10,351 different keyphrases | Search | Percent |
scalapack | 9842 | 25.6 % |
pblas | 1031 | 2.6 % |
parallel efficiency | 540 | 1.4 % |
numroc | 393 | 1 % |
scalapack example | 353 | 0.9 % |
scalapack tutorial | 303 | 0.7 % |
parallel blas | 291 | 0.7 % |
descinit | 226 | 0.5 % |
parallel lapack | 204 | 0.5 % |
grid size | 191 | 0.4 % |
pdgesv | 187 | 0.4 % |
pdsyev | 162 | 0.4 % |
scalapack users guide | 153 | 0.3 % |
pdelset | 144 | 0.3 % |
scalapack user s guide | 143 | 0.3 % |
sl_init | 135 | 0.3 % |
pdsyevd | 126 | 0.3 % |
homogeneous network | 124 | 0.3 % |
scalapck | 121 | 0.3 % |
lapack parallel | 118 | 0.3 % |
scalapack download | 114 | 0.2 % |
pdgetrf | 112 | 0.2 % |
pzheevx | 107 | 0.2 % |
sparse lapack | 106 | 0.2 % |
pdsyevx | 103 | 0.2 % |
block mapping | 103 | 0.2 % |
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lapack sparse | 98 | 0.2 % |
block cyclic distribution | 95 | 0.2 % |
scalpack | 86 | 0.2 % |
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gunzip tgz | 80 | 0.2 % |
superlu | 78 | 0.2 % |
blas parallel | 77 | 0.2 % |
pdgeqrf | 74 | 0.1 % |
block cyclic | 73 | 0.1 % |
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blas library | 72 | 0.1 % |
dgemm example | 72 | 0.1 % |
process grid | 72 | 0.1 % |
netlib scalapack | 71 | 0.1 % |
how to run mpi program | 71 | 0.1 % |
iceil | 70 | 0.1 % |
fortran interface | 70 | 0.1 % |
pdlaprnt | 70 | 0.1 % |
array descriptor | 69 | 0.1 % |
measuring error | 68 | 0.1 % |
how to measure error | 66 | 0.1 % |
pdpotrf | 65 | 0.1 % |
scalapack descinit | 65 | 0.1 % |
scalapack c example | 65 | 0.1 % |
scalapack numroc | 64 | 0.1 % |
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scalapack manual | 59 | 0.1 % |
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lu decomposition | 54 | 0.1 % |
pdlange | 53 | 0.1 % |
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scalapack performance | 50 | 0.1 % |
numroc scalapack | 50 | 0.1 % |
direct sparse solver | 50 | 0.1 % |
pdelget | 49 | 0.1 % |
sclapack | 48 | 0.1 % |
scalapack eigenvalue | 47 | 0.1 % |
rq factorization | 47 | 0.1 % |
lapack sparse solver | 47 | 0.1 % |
scalapack svd | 47 | 0.1 % |
pdgetrs | 47 | 0.1 % |
scalapac | 46 | 0.1 % |
numroc_ | 44 | 0.1 % |
unitary matrix example | 44 | 0.1 % |
parallel eigenvalue solver | 44 | 0.1 % |
alignment restriction | 43 | 0.1 % |
parallel lu | 42 | 0.1 % |
pdlahqr | 41 | 0.1 % |
efficiency parallel | 41 | 0.1 % |
direct sparse | 41 | 0.1 % |
scalapack mpi | 40 | 0.1 % |
scalapack c | 38 | 0 % |
minimum norm least squares solution | 38 | 0 % |
pdgehrd | 38 | 0 % |
nexearch | 38 | 0 % |
pdsytrd | 37 | 0 % |
blacs_gridinfo | 37 | 0 % |
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pdlaswp | 37 | 0 % |
how to identify performance bottlenecks | 36 | 0 % |
scalapack test | 36 | 0 % |
pzelset | 36 | 0 % |
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lapack python | 35 | 0 % |
sparse solvers | 35 | 0 % |
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pdgemm | 34 | 0 % |
indxg2p | 33 | 0 % |
scalapack cholesky | 33 | 0 % |
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indxl2g | 32 | 0 % |
tridiagonal matrix algorithm | 32 | 0 % |
lapack scalapack | 32 | 0 % |
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scalapack netlib | 31 | 0 % |
pdposv | 31 | 0 % |
pdlawrite | 31 | 0 % |
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pdgels | 29 | 0 % |
pzgetrf | 28 | 0 % |
scalapack windows | 27 | 0 % |
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simplifying assumptions | 27 | 0 % |
blacs scalapack | 27 | 0 % |
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lapack tutorial | 25 | 0 % |
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blacs tutorial | 25 | 0 % |
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mpi howto | 24 | 0 % |
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lapack mpi | 24 | 0 % |
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scalapack lu | 23 | 0 % |
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scalapack java | 22 | 0 % |
scalapack igebs2d | 22 | 0 % |
error in numerical calculations | 22 | 0 % |
scalapack eigenvalues | 22 | 0 % |
download scalapack | 22 | 0 % |
pdstein | 21 | 0 % |
blacs blas | 21 | 0 % |
pdgemv | 21 | 0 % |
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pcheevx | 21 | 0 % |
pdgeqr2 | 21 | 0 % |
schur factorization | 21 | 0 % |
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scalapack matrix multiplication | 20 | 0 % |
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pdorgqr | 19 | 0 % |
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pslaprnt | 17 | 0 % |
how to run mpi programs | 17 | 0 % |
absolute error | 17 | 0 % |
python scalapack | 17 | 0 % |
scalapack atlas | 17 | 0 % |
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scalapack pdgesv | 17 | 0 % |
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example of unitary matrix | 17 | 0 % |
define process column | 17 | 0 % |
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numerical underflow | 17 | 0 % |
arraydescriptor | 17 | 0 % |
accuracy and stability | 17 | 0 % |
mpi scalapack | 16 | 0 % |
pdgetri | 16 | 0 % |
execution time | 16 | 0 % |
how to run an mpi program | 16 | 0 % |
scalapack pdsygvx | 16 | 0 % |
gunzip .tgz | 16 | 0 % |
scalapack tools | 16 | 0 % |
blas blacs | 16 | 0 % |
eigenvector factorization | 16 | 0 % |
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pdstebz | 15 | 0 % |
introduction to blas | 15 | 0 % |
pzgetri | 15 | 0 % |
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scalapack out of core | 15 | 0 % |
pssyevx | 15 | 0 % |
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pzheev | 15 | 0 % |
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parallel linear algebra | 15 | 0 % |
pdstedc | 15 | 0 % |
descset | 15 | 0 % |
pdgetf2 | 15 | 0 % |
pdsyev example | 15 | 0 % |
parallel lu factorization | 15 | 0 % |
atlas scalapack | 15 | 0 % |
measure of error | 15 | 0 % |
scalapack testing | 15 | 0 % |
scalarpack | 15 | 0 % |
what is homogeneous network | 15 | 0 % |
lapack workspace | 14 | 0 % |
blacs library | 14 | 0 % |
scalapack guide | 14 | 0 % |
numerical calculations | 14 | 0 % |
pzgemm | 14 | 0 % |
bidiagonal form | 14 | 0 % |
debugging application | 14 | 0 % |
pcgetrf | 14 | 0 % |
qr tridiagonal | 14 | 0 % |
scalapack pblas | 14 | 0 % |
what is a homogeneous network | 14 | 0 % |
scalapack users guide pdf | 14 | 0 % |
lapack gesvd | 14 | 0 % |
pblas examples | 14 | 0 % |
pdormtr | 14 | 0 % |
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atlas references | 13 | 0 % |
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pzgetrs | 13 | 0 % |
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parallel linear algebra library | 13 | 0 % |
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sparse matrix lapack | 13 | 0 % |
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pdormqr | 13 | 0 % |
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pblas download | 13 | 0 % |
block-cyclic distribution | 13 | 0 % |
parallelization efficiency | 13 | 0 % |
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scalapack users’ guide | 12 | 0 % |
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pdpotrf.f | 12 | 0 % |
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reshape c | 12 | 0 % |
householder least squares | 12 | 0 % |
scala pack | 12 | 0 % |
pblas tutorial | 12 | 0 % |
how to measure errors | 11 | 0 % |
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pzgbtrs | 11 | 0 % |
cyclic mapping scalapack | 11 | 0 % |
blas performance | 11 | 0 % |
scalapack lu decomposition | 11 | 0 % |
pssyevd | 11 | 0 % |
pslamch | 11 | 0 % |
scalapack qr factorization | 11 | 0 % |
testing site www.netlib.org scalapack | 11 | 0 % |
cyclic data distribution | 11 | 0 % |
how to gunzip a tar file | 11 | 0 % |
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scaldopack | 11 | 0 % |
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mmt rjls | 11 | 0 % |
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scalapack lapack | 10 | 0 % |
complex unitary matrix | 10 | 0 % |
scalapack pdf | 10 | 0 % |
pdtrsm | 10 | 0 % |
netlib pblas | 10 | 0 % |
pblas pdgemm | 10 | 0 % |
lq factorization | 10 | 0 % |
lu parallel | 10 | 0 % |
cyclic block | 10 | 0 % |
gunzip tar gz | 10 | 0 % |
storage conventions | 10 | 0 % |
alignment restrictions | 10 | 0 % |
pcelset | 10 | 0 % |
qr algorithm for tridiagonal matrices | 10 | 0 % |
block row | 10 | 0 % |
application of debug | 10 | 0 % |
pselget | 10 | 0 % |
small standard error | 10 | 0 % |
grid process | 10 | 0 % |
scalapack sample | 10 | 0 % |
numroc.f | 10 | 0 % |
pyscalapack | 10 | 0 % |
test scalapack | 10 | 0 % |
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standard error function | 10 | 0 % |
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two dimensional distribution | 10 | 0 % |
qr algorithm tridiagonal | 10 | 0 % |
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application debug | 10 | 0 % |
identifying performance bottlenecks | 10 | 0 % |
linear least squares problems | 10 | 0 % |
pblas.h | 9 | 0 % |
frobenius norm error calculation | 9 | 0 % |
process grids | 9 | 0 % |
debugging the application | 9 | 0 % |
arpack user guide | 9 | 0 % |
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pdpotrs | 9 | 0 % |
sparse eigenvalue | 9 | 0 % |
pdscaexinfo | 9 | 0 % |
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pdmatadd | 9 | 0 % |
qr decomposition with column pivoting | 9 | 0 % |
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qr factorization with column pivoting | 9 | 0 % |
direct sparse solvers | 9 | 0 % |
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examples of integrity | 8 | 0 % |
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igamn2d | 8 | 0 % |
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21nb | 8 | 0 % |
scalapack python | 8 | 0 % |
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testing scalapack | 8 | 0 % |
scalapack user s guide pdf | 8 | 0 % |
scalapack 1.8 | 8 | 0 % |
identify performance bottlenecks | 8 | 0 % |
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gunzip a tar file | 8 | 0 % |
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scalapack pdsytrd.f | 8 | 0 % |
pdlahqr_ | 8 | 0 % |
scalelapack | 8 | 0 % |
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unitary matrix examples | 8 | 0 % |
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scalapack_installer | 8 | 0 % |
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mpi program | 8 | 0 % |
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superlu tutorial | 7 | 0 % |
pdelset scalapack | 7 | 0 % |
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howto scalapack c | 7 | 0 % |
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