| 13555 different keyphrases | Search | Percent |
| scalapack | 9679 | 22 % |
| pblas | 872 | 1.9 % |
| parallel efficiency | 457 | 1 % |
| numroc | 352 | 0.8 % |
| in example | 342 | 0.7 % |
| solving linear systems | 286 | 0.6 % |
| parallel blas | 269 | 0.6 % |
| lapack sparse | 211 | 0.4 % |
| unitary matrix | 192 | 0.4 % |
| mod@isgn.local | 190 | 0.4 % |
| descinit | 190 | 0.4 % |
| system error | 189 | 0.4 % |
| blas library | 188 | 0.4 % |
| homogeneous network | 181 | 0.4 % |
| homogeneous and heterogeneous | 174 | 0.3 % |
| scalapack example | 168 | 0.3 % |
| sparse lapack | 166 | 0.3 % |
| mpi examples | 154 | 0.3 % |
| pdgesv | 150 | 0.3 % |
| grid size | 146 | 0.3 % |
| solving matrices | 140 | 0.3 % |
| scalapack tutorial | 135 | 0.3 % |
| gunzip tgz | 134 | 0.3 % |
| array descriptor | 129 | 0.2 % |
| pdgetrf | 123 | 0.2 % |
| heterogeneous homogeneous | 120 | 0.2 % |
| performance bottlenecks | 120 | 0.2 % |
| scalapack user guide | 116 | 0.2 % |
| numerical error | 114 | 0.2 % |
| sl_init | 114 | 0.2 % |
| scalapack users guide | 110 | 0.2 % |
| rq factorization | 103 | 0.2 % |
| left eigenvector | 100 | 0.2 % |
| parallel lapack | 100 | 0.2 % |
| bottlenecks | 100 | 0.2 % |
| homogeneous heterogeneous | 100 | 0.2 % |
| execution time | 99 | 0.2 % |
| tridiagonal matrix algorithm | 97 | 0.2 % |
| user guide | 97 | 0.2 % |
| block mapping | 94 | 0.2 % |
| pdsyevx | 92 | 0.2 % |
| round off error | 89 | 0.2 % |
| pdsyev | 89 | 0.2 % |
| super lu | 88 | 0.2 % |
| mpi example | 87 | 0.1 % |
| pdpotrf | 87 | 0.1 % |
| unitary matrices | 87 | 0.1 % |
| pdlaprnt | 87 | 0.1 % |
| used to example | 86 | 0.1 % |
| performance bottleneck | 85 | 0.1 % |
| superlu | 82 | 0.1 % |
| scalapack user s guide | 82 | 0.1 % |
| sources of error | 81 | 0.1 % |
| lu factorization | 80 | 0.1 % |
| scalapack download | 79 | 0.1 % |
| dgemm example | 79 | 0.1 % |
| html.gif | 76 | 0.1 % |
| pdelset | 76 | 0.1 % |
| blas tutorial | 75 | 0.1 % |
| solving linear equations | 75 | 0.1 % |
| scalapack examples | 74 | 0.1 % |
| block cyclic | 73 | 0.1 % |
| column row | 72 | 0.1 % |
| lapack parallel | 72 | 0.1 % |
| machine epsilon | 71 | 0.1 % |
| pdgesvd | 71 | 0.1 % |
| scoped | 70 | 0.1 % |
| pdsyevd | 65 | 0.1 % |
| commercial use | 63 | 0.1 % |
| process grid | 62 | 0.1 % |
| lapack tutorial | 60 | 0.1 % |
| roundoff error | 59 | 0.1 % |
| html gif | 58 | 0.1 % |
| pzheevx | 58 | 0.1 % |
| column and rows | 57 | 0.1 % |
| qr factorization | 57 | 0.1 % |
| scalapack installer | 56 | 0.1 % |
| blacs_gridinfo | 55 | 0.1 % |
| pdlaread | 55 | 0.1 % |
| pzhegvx | 54 | 0.1 % |
| scalapack manual | 54 | 0.1 % |
| column and row | 54 | 0.1 % |
| define global | 54 | 0.1 % |
| infog2l | 53 | 0.1 % |
| scalapack svd | 52 | 0.1 % |
| gunzip tar | 52 | 0.1 % |
| schur factorization | 52 | 0.1 % |
| solving linear system | 51 | 0.1 % |
| standard error | 49 | 0.1 % |
| block cyclic distribution | 47 | 0.1 % |
| pdsygvx | 47 | 0.1 % |
| lwork | 47 | 0.1 % |
| solving least squares problems | 47 | 0.1 % |
| machine precision | 47 | 0.1 % |
| measure error | 46 | 0.1 % |
| arraydescriptor | 46 | 0.1 % |
| application debugging | 44 | 0.1 % |
| singular value decomposition | 43 | 0 % |
| scalapack routines | 42 | 0 % |
| pzelset | 42 | 0 % |
| scalapack performance | 41 | 0 % |
| scalapack install | 41 | 0 % |
| round-off error | 41 | 0 % |
| efficiency parallel | 40 | 0 % |
| parallel lu | 40 | 0 % |
| block columns | 40 | 0 % |
| pzheevd | 40 | 0 % |
| using mpi | 40 | 0 % |
| block column | 39 | 0 % |
| measure of error | 39 | 0 % |
| netlib scalapack | 38 | 0 % |
| igerv2d netlib | 37 | 0 % |
| pdgemm example | 37 | 0 % |
| simplifying assumptions | 37 | 0 % |
| pdgeqrf | 36 | 0 % |
| pdlamch | 36 | 0 % |
| parallel lu factorization | 36 | 0 % |
| heterogeneous and homogeneous | 36 | 0 % |
| indxg2p | 34 | 0 % |
| pdlange | 33 | 0 % |
| iceil | 33 | 0 % |
| gunzip .tgz | 33 | 0 % |
| psgesv | 33 | 0 % |
| homogeneous or heterogeneous | 33 | 0 % |
| pdgemm | 33 | 0 % |
| pdgetrs | 33 | 0 % |
| scalapack mpi | 32 | 0 % |
| error analysis | 32 | 0 % |
| pdlawrite | 32 | 0 % |
| scalapack testing | 32 | 0 % |
| mod@isgn.local | 31 | 0 % |
| scalapack netlib | 31 | 0 % |
| error measure | 31 | 0 % |
| fortran programs | 31 | 0 % |
| how to solve linear systems | 31 | 0 % |
| software components | 30 | 0 % |
| small standard error | 30 | 0 % |
| row and column | 30 | 0 % |
| mpi program | 30 | 0 % |
| scalapack test | 29 | 0 % |
| pzlaprnt | 29 | 0 % |
| array descriptors | 29 | 0 % |
| gunzip a tar file | 29 | 0 % |
| indxl2g | 29 | 0 % |
| pdelget | 29 | 0 % |
| pzheev | 29 | 0 % |
| how to run mpi program | 29 | 0 % |
| arpack users guide | 29 | 0 % |
| pdgemr2d | 29 | 0 % |
| what is commercial use | 29 | 0 % |
| scalapack windows | 28 | 0 % |
| linear least squares | 28 | 0 % |
| error bound formula | 28 | 0 % |
| direct sparse solver | 28 | 0 % |
| errors in numerical calculations | 27 | 0 % |
| direct sparse | 27 | 0 % |
| prototype codes | 27 | 0 % |
| pdgbtrf | 27 | 0 % |
| download scalapack | 27 | 0 % |
| block-cyclic | 26 | 0 % |
| gunzip tar file | 25 | 0 % |
| data distributions | 25 | 0 % |
| prototype software | 25 | 0 % |
| pdormqr | 25 | 0 % |
| diagonally dominant example | 25 | 0 % |
| row column | 24 | 0 % |
| system error messages | 24 | 0 % |
| scalapack documentation | 24 | 0 % |
| system error message | 24 | 0 % |
| chk1mat | 24 | 0 % |
| householder matrix | 24 | 0 % |
| least squares problem | 24 | 0 % |
| define block size | 24 | 0 % |
| blas parallel | 24 | 0 % |
| pdsytrd | 23 | 0 % |
| pdgetri | 23 | 0 % |
| scalapack c interface | 23 | 0 % |
| scalapack library | 23 | 0 % |
| scalapack out of core | 23 | 0 % |
| scalapack matrix multiplication | 23 | 0 % |
| parallel linear algebra | 23 | 0 % |
| scalapack installation | 23 | 0 % |
| pdstebz | 22 | 0 % |
| scalapack guide | 22 | 0 % |
| mpi lapack | 22 | 0 % |
| bidiagonal form | 22 | 0 % |
| software hierarchy | 22 | 0 % |
| user s guide | 22 | 0 % |
| pzelget | 22 | 0 % |
| scalapack eigenvalue | 22 | 0 % |
| solve linear system | 21 | 0 % |
| algebra machine | 21 | 0 % |
| examples of programs | 21 | 0 % |
| cyclic distribution | 21 | 0 % |
| submatrix | 21 | 0 % |
| pblas example | 21 | 0 % |
| least squares problems | 21 | 0 % |
| solving a linear system | 21 | 0 % |
| numerical calculations | 20 | 0 % |
| arpack user guide | 20 | 0 % |
| scalapack sparse | 20 | 0 % |
| blas introduction | 20 | 0 % |
| pdlacpy | 20 | 0 % |
| scalapack numroc | 19 | 0 % |
| mpi scalapack | 19 | 0 % |
| descinit.f | 19 | 0 % |
| linear equations | 19 | 0 % |
| tar gunzip | 19 | 0 % |
| tridiagonal matrix | 19 | 0 % |
| numerical errors | 19 | 0 % |
| linear systems of equations | 19 | 0 % |
| sparse solvers | 19 | 0 % |
| round off errors | 19 | 0 % |
| alignment restriction | 19 | 0 % |
| pblas download | 19 | 0 % |
| linear least squares problems | 19 | 0 % |
| minimum norm least squares | 18 | 0 % |
| relative machine precision | 18 | 0 % |
| testing scalapack | 18 | 0 % |
| tgz gunzip | 18 | 0 % |
| sltimer | 18 | 0 % |
| pdgels | 18 | 0 % |
| poor performance | 18 | 0 % |
| pzhetrd | 18 | 0 % |
| users guide | 18 | 0 % |
| network of workstations | 17 | 0 % |
| system error! | 17 | 0 % |
| how to gunzip a tar file | 17 | 0 % |
| matrix to vector | 17 | 0 % |
| scalapack java | 17 | 0 % |
| unitary matrix example | 17 | 0 % |
| pdgeadd | 17 | 0 % |
| linear least squares problem | 17 | 0 % |
| pzgesv | 17 | 0 % |
| numroc scalapack | 17 | 0 % |
| pzgetrf | 16 | 0 % |
| scalapack atlas | 16 | 0 % |
| block cyclic data distribution | 16 | 0 % |
| eigenvalue problem | 16 | 0 % |
| relative error norm | 16 | 0 % |
| error calculations | 16 | 0 % |
| example scalapack | 16 | 0 % |
| lapack mpi | 16 | 0 % |
| estimate time | 16 | 0 % |
| application debug | 16 | 0 % |
| pdstein | 15 | 0 % |
| psgesvd | 15 | 0 % |
| blas leading dimension | 15 | 0 % |
| how to solve linear system | 15 | 0 % |
| two-dimensional block cyclic decomposition | 15 | 0 % |
| solve linear systems | 15 | 0 % |
| scalapack descinit | 15 | 0 % |
| blacs_gridexit | 15 | 0 % |
| measuring errors | 15 | 0 % |
| warning messages | 15 | 0 % |
| heterogeneous or homogeneous | 15 | 0 % |
| left eigenvectors | 15 | 0 % |
| lu factorization parallel | 15 | 0 % |
| p4_error interrupt sigfpe 8 | 15 | 0 % |
| pzpotrf | 15 | 0 % |
| time estimate | 15 | 0 % |
| mpi how to | 15 | 0 % |
| scalable lapack | 14 | 0 % |
| distribution parameters | 14 | 0 % |
| capss | 14 | 0 % |
| blas performance | 14 | 0 % |
| performance bottle necks | 14 | 0 % |
| errors in numerical work | 14 | 0 % |
| blacs_gridinit | 14 | 0 % |
| scalapack lu | 14 | 0 % |
| www.mod@isgn.local | 14 | 0 % |
| blacs broadcast | 14 | 0 % |
| scalapack sl_init | 14 | 0 % |
| pdgbsv | 14 | 0 % |
| debugging application | 14 | 0 % |
| gzip tgz | 14 | 0 % |
| band matrix storage | 14 | 0 % |
| descriptor array | 14 | 0 % |
| pdpbsv | 14 | 0 % |
| blacs scalapack | 14 | 0 % |
| householder least squares | 14 | 0 % |
| scalapack tools | 14 | 0 % |
| numerical underflow | 14 | 0 % |
| examples of integrity | 13 | 0 % |
| source of error | 13 | 0 % |
| blacs library | 13 | 0 % |
| how to run mpi | 13 | 0 % |
| what is a column and a row | 13 | 0 % |
| linear factorization | 13 | 0 % |
| standard error function | 13 | 0 % |
| pzhetrd.f | 13 | 0 % |
| pdgehrd | 13 | 0 % |
| pzlatrd.f | 13 | 0 % |
| homogeneous & heterogeneous | 13 | 0 % |
| qr algorithm tridiagonal | 13 | 0 % |
| numerical linear algebra solutions | 13 | 0 % |
| pb_topget | 13 | 0 % |
| scalapack homepage | 13 | 0 % |
| work 1 | 12 | 0 % |
| cpdgemr2d | 12 | 0 % |
| pzgemm | 12 | 0 % |
| pdposv | 12 | 0 % |
| pzgetri | 12 | 0 % |
| pcelset | 12 | 0 % |
| sample programming code | 12 | 0 % |
| tar tgz | 12 | 0 % |
| utk utia utips | 12 | 0 % |
| mpi example program | 12 | 0 % |
| examples of sources of error | 12 | 0 % |
| software conventions | 12 | 0 % |
| descset | 12 | 0 % |
| code fragment | 12 | 0 % |
| mpi sample program | 12 | 0 % |
| identifying performance bottlenecks | 12 | 0 % |
| systems of equations | 12 | 0 % |
| pdgemm pblas | 11 | 0 % |
| bottleneck performance | 11 | 0 % |
| gunzip and tar | 11 | 0 % |
| what is row and column | 11 | 0 % |
| system error -1 | 11 | 0 % |
| tridiagonal matrix qr | 11 | 0 % |
| intitle index of matrix | 11 | 0 % |
| column pivoting | 11 | 0 % |
| using scalapack | 11 | 0 % |
| l-work | 11 | 0 % |
| identify performance bottlenecks | 11 | 0 % |
| example program | 11 | 0 % |
| pdgeqpf | 11 | 0 % |
| grid process | 11 | 0 % |
| pdgemv | 11 | 0 % |
| scalapack user | 11 | 0 % |
| run mpi program | 11 | 0 % |
| accuracy stability | 11 | 0 % |
| common algebra problems | 11 | 0 % |
| qr tridiagonal | 11 | 0 % |
| pcheevx | 11 | 0 % |
| linear least square problem | 11 | 0 % |
| two dimensional distribution | 11 | 0 % |
| list of figures | 11 | 0 % |
| scalapack c example | 11 | 0 % |
| atlas scalapack | 11 | 0 % |
| mod@isgn.local | 11 | 0 % |
| invalid arguments | 11 | 0 % |
| tridiagonal | 11 | 0 % |
| scalapack c | 10 | 0 % |
| pxgemr2d | 10 | 0 % |
| pdtrsm | 10 | 0 % |
| www.netlib.org/scalapack/double/ scalapack cholesky decomposition | 10 | 0 % |
| tridiagonal matrices | 10 | 0 % |
| lu parallel | 10 | 0 % |
| example matrix program | 10 | 0 % |
| descq | 10 | 0 % |
| linear algebra problems | 10 | 0 % |
| pzgels | 10 | 0 % |
| sources of numerical errors | 10 | 0 % |
| block size | 10 | 0 % |
| standard error of a function | 10 | 0 % |
| pssyevx | 10 | 0 % |
| blacs tutorial | 10 | 0 % |
| scalapack tests | 10 | 0 % |
| what is performance bottlenecks | 10 | 0 % |
| define blas | 10 | 0 % |
| numroc.f | 10 | 0 % |
| run as example | 10 | 0 % |
| minimum norm least squares solution | 10 | 0 % |
| examples of unitary matrices | 10 | 0 % |
| two-dimensional block-cyclic data distribution | 10 | 0 % |
| algebra problems | 10 | 0 % |
| block-cyclic distribution | 10 | 0 % |
| using standard error | 10 | 0 % |
| parallelization efficiency | 10 | 0 % |
| performance evaluation | 10 | 0 % |
| dense matrices | 10 | 0 % |
| allintitle index of / | 9 | 0 % |
| how to install scalapack | 9 | 0 % |
| out of core scalapack | 9 | 0 % |
| singular value | 9 | 0 % |
| solving linear least squares | 9 | 0 % |
| scalapack pdf | 9 | 0 % |
| qr algorithm | 9 | 0 % |
| example programs | 9 | 0 % |
| mod @ isgn.local | 9 | 0 % |
| single precision | 9 | 0 % |
| error equation | 9 | 0 % |
| what is error measure | 9 | 0 % |
| scalapack source | 9 | 0 % |
| double precision complex | 9 | 0 % |
| scalapack pdgesv | 9 | 0 % |
| scalapack matrix multiply | 9 | 0 % |
| pdlahqr | 9 | 0 % |
| block row | 9 | 0 % |
| heterogeneous versus homogeneous | 9 | 0 % |
| sample programming codes | 9 | 0 % |
| parallel linear algebra library | 9 | 0 % |
| blacs descinit | 9 | 0 % |
| download netlib 2.0 | 9 | 0 % |
| basic linear algebra subprograms | 9 | 0 % |
| parallel basic linear algebra subprograms | 9 | 0 % |
| install scalapack | 9 | 0 % |
| orthogonal matrix | 9 | 0 % |
| qr factorization least squares | 9 | 0 % |
| [-inurl htm|html|php intitle index of last modified parent directory description size jpg|gif ] | 9 | 0 % |
| slcombine | 9 | 0 % |
| basic unit of process execution | 9 | 0 % |
| scalapack eigenvalues | 9 | 0 % |
| example dgemm | 9 | 0 % |
| scalapack reference | 9 | 0 % |
| what is homogeneous network | 9 | 0 % |
| accuracy and stability | 9 | 0 % |
| pdormtr | 9 | 0 % |
| sample program code | 8 | 0 % |
| scalapack. | 8 | 0 % |
| scalapack for windows | 8 | 0 % |
| vector storage | 8 | 0 % |
| pdgemm site netlib.org | 8 | 0 % |
| blacs blas | 8 | 0 % |
| error bounds | 8 | 0 % |
| absolute error | 8 | 0 % |
| pdorgqr | 8 | 0 % |
| scalapack home | 8 | 0 % |
| least squares householder | 8 | 0 % |
| householder least square | 8 | 0 % |
| scalapack makefile | 8 | 0 % |
| pb_topset | 8 | 0 % |
| atlas references | 8 | 0 % |
| linpack tutorial | 8 | 0 % |
| pdpotri | 8 | 0 % |
| contents of rom | 8 | 0 % |
| cyclic mapping | 8 | 0 % |
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| scalapack block cyclic | 8 | 0 % |
| linear algebra package | 8 | 0 % |
| dgesd2d | 8 | 0 % |
| desca scalapack | 8 | 0 % |
| pdgesvx | 8 | 0 % |
| blas example | 8 | 0 % |
| homogeneous versus heterogeneous | 8 | 0 % |
| machine precision 32 bit | 8 | 0 % |
| pchk1mat | 8 | 0 % |
| sparse linear algebra | 8 | 0 % |
| measure errors | 8 | 0 % |
| example of unitary matrix | 8 | 0 % |
| debug application | 8 | 0 % |
| standard error matrix | 8 | 0 % |
| tridiagonal qr algorithm | 8 | 0 % |
| pddtsv | 8 | 0 % |
| distributed memory computer | 8 | 0 % |
| svd scalapack | 8 | 0 % |
| mpi linear algebra | 8 | 0 % |
| scalapack tridiagonal | 8 | 0 % |
| solving least square problems | 8 | 0 % |
| arpack user s guide | 8 | 0 % |
| scalapack libraries | 8 | 0 % |
| igebs2d | 8 | 0 % |
| blacs example | 8 | 0 % |
| error system | 8 | 0 % |
| how to measure errors | 7 | 0 % |
| least squares qr factorization | 7 | 0 % |
| error numerical | 7 | 0 % |
| scalapack pzheevd | 7 | 0 % |
| scalapack 1.7 | 7 | 0 % |
| blas gaussian elimination | 7 | 0 % |
| pdpotrs | 7 | 0 % |
| bottlenecks in performance | 7 | 0 % |
| scalapack hpf | 7 | 0 % |
| how to identify performance bottlenecks | 7 | 0 % |
| what is poor performance | 7 | 0 % |
| pzlawrite | 7 | 0 % |
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| alignment restrictions | 7 | 0 % |
| n.j.jb k . | 7 | 0 % |
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| slmake.inc | 7 | 0 % |
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| firefox linkchecker | 7 | 0 % |
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