Colt Matrix benchmark running on java.vm.vendor Sun Microsystems Inc. java.vm.version 1.2.2 java.vm.name Classic VM os.name Linux os.version 2.2.12-20 os.arch i386 java.version 1.2.2 java.vendor Sun Microsystems Inc. java.vendor.url http://java.sun.com/ @x....x....x....x....x....x.... @x....x....x....x....x....x....* Performance of DoubleMatrix2D assign [Mops/sec] type=dense | density | 0.0010 0.01 0.1 0.999 ---------------------------------------- s 30 | 102.749 124.465 109.767 160.661 i 33 | 64.221 74.233 80.484 65.918 z 66 | 42.184 41.584 41.612 42.314 e 100 | 42.579 41.174 42.237 42.714 300 | 19.77 19.197 18.015 19.695 1000 | 19.324 19.286 19.342 19.324 Performance of DoubleMatrix2D assign [Mops/sec] type=sparse | density | 0.0010 0.01 0.1 0.999 --------------------------------------------- s 30 | 94.672 51.894 16.154 2.853 i 33 | 156.926 62.186 19.131 1.888 z 66 | 294.458 124.59 24.512 2.383 e 100 | 572.473 177.689 NaN NaN 300 | 1.593E+003 284.898 NaN NaN 1000 | 1.781E+003 278.754 NaN NaN Speedup of dense over sparse | density | 0.0010 0.01 0.1 0.999 ------------------------------------- s 30 | 1.085 2.398 6.795 56.32 i 33 | 0.409 1.194 4.207 34.908 z 66 | 0.143 0.334 1.698 17.756 e 100 | 0.074 0.232 NaN NaN 300 | 0.012 0.067 NaN NaN 1000 | 0.011 0.069 NaN NaN Run took a total of Time=189.305 secs. End of run. @x....x....x....x....x....x.... @x....x....x....x....x....x....* Performance of DoubleMatrix2D assignGetSetQuick [Mops/sec] type=dense | density | 0.0010 0.01 0.1 0.999 --------------------------------- s 30 | 7.309 7.333 7.388 7.296 i 33 | 7.318 7.102 7.229 7.144 z 66 | 7.31 7.299 7.269 7.287 e 100 | 7.179 7.204 6.903 7.188 300 | 5.656 5.601 5.412 5.622 1000 | 5.223 5.291 5.288 5.282 Performance of DoubleMatrix2D assignGetSetQuick [Mops/sec] type=sparse | density | 0.0010 0.01 0.1 0.999 ------------------------------------- s 30 | 1.237 1.171 0.933 0.502 i 33 | 1.244 1.161 0.947 0.413 z 66 | 1.182 1.164 1.016 0.457 e 100 | 1.191 1.153 NaN NaN 300 | 1.169 1.144 NaN NaN 1000 | 1.183 1.145 NaN NaN Speedup of dense over sparse | density | 0.0010 0.01 0.1 0.999 ------------------------------------- s 30 | 5.91 6.261 7.918 14.543 i 33 | 5.881 6.116 7.636 17.307 z 66 | 6.186 6.269 7.154 15.929 e 100 | 6.026 6.248 NaN NaN 300 | 4.839 4.895 NaN NaN 1000 | 4.414 4.623 NaN NaN Run took a total of Time=170.663 secs. End of run. @x....x....x....x....x....x.... @x....x....x....x....x....x....* Performance of DoubleMatrix2D assignGetSet [Mops/sec] type=dense | density | 0.0010 0.01 0.1 0.999 --------------------------------- s 30 | 4.269 4.222 3.883 4.219 i 33 | 4.167 4.223 4.213 4.214 z 66 | 4.209 4.19 4.229 4.199 e 100 | 4.12 4.169 4.196 4.196 300 | 3.531 3.543 3.481 3.558 1000 | 3.513 3.519 3.536 3.531 Performance of DoubleMatrix2D assignGetSet [Mops/sec] type=sparse | density | 0.0010 0.01 0.1 0.999 ------------------------------------- s 30 | 1.067 1.045 0.847 0.495 i 33 | 1.1 1 0.922 0.397 z 66 | 1.05 1.036 0.895 0.437 e 100 | 1.053 1.043 NaN NaN 300 | 1.064 1.026 NaN NaN 1000 | 1.055 1.028 NaN NaN Speedup of dense over sparse | density | 0.0010 0.01 0.1 0.999 ------------------------------------- s 30 | 4.001 4.041 4.588 8.525 i 33 | 3.786 4.221 4.572 10.624 z 66 | 4.01 4.046 4.724 9.617 e 100 | 3.911 3.995 NaN NaN 300 | 3.32 3.454 NaN NaN 1000 | 3.329 3.422 NaN NaN Run took a total of Time=168.134 secs. End of run. @x....x....x....x....x....x.... @x....x....x....x....x....x....* Performance of DoubleMatrix.zMult(B,C) [Mflops/sec] type=dense | density | 0.0010 0.01 0.1 0.999 ------------------------------------------- s 30 | 36.484 31.726 36.507 31.373 i 33 | 105.346 48.501 19.578 18.32 z 66 | 229.429 83.016 20.72 20.79 e 100 | 384.734 125.189 22.352 21.923 300 | 881.517 232.759 17.845 17.045 1000 | 1.718E+003 272.591 17.393 17.399 Performance of DoubleMatrix.zMult(B,C) [Mflops/sec] type=sparse | density | 0.0010 0.01 0.1 0.999 --------------------------------------- s 30 | 2.321 2.237 2.276 2.297 i 33 | 20.705 6.371 2.126 2.221 z 66 | 54.022 10.558 2.075 2.285 e 100 | 77.419 17.613 NaN NaN 300 | 203.103 48.214 NaN NaN 1000 | 475.059 87.87 NaN NaN Speedup of dense over sparse | density | 0.0010 0.01 0.1 0.999 -------------------------------------- s 30 | 15.72 14.186 16.039 13.657 i 33 | 5.088 7.612 9.207 8.247 z 66 | 4.247 7.863 9.986 9.098 e 100 | 4.969 7.108 NaN NaN 300 | 4.34 4.828 NaN NaN 1000 | 3.617 3.102 NaN NaN Run took a total of Time=404.788 secs. End of run. @x....x....x....x....x....x.... @x....x....x....x....x....x....* Performance of DoubleMatrix Elementwise mult [Mflops/sec] type=dense | density | 0.0010 0.01 0.1 0.999 ------------------------------------ s 30 | 11.877 11.8 11.524 12.413 i 33 | 11.523 11.804 11.999 12.521 z 66 | 12.202 12.193 12.121 12.747 e 100 | 12.107 12.085 11.212 12.316 300 | 6.61 6.509 6.619 8.222 1000 | 7.979 7.984 7.995 7.989 Performance of DoubleMatrix Elementwise mult [Mflops/sec] type=sparse | density | 0.0010 0.01 0.1 0.999 ------------------------------------- s 30 | 0.718 0.724 0.709 0.677 i 33 | 0.714 0.709 0.719 0.678 z 66 | 0.715 0.715 0.715 0.675 e 100 | 0.726 0.715 NaN NaN 300 | 0.726 0.699 NaN NaN 1000 | 0.731 0.702 NaN NaN Speedup of dense over sparse | density | 0.0010 0.01 0.1 0.999 -------------------------------------- s 30 | 16.534 16.301 16.243 18.341 i 33 | 16.143 16.657 16.682 18.477 z 66 | 17.064 17.044 16.954 18.888 e 100 | 16.675 16.902 NaN NaN 300 | 9.103 9.307 NaN NaN 1000 | 10.919 11.365 NaN NaN Run took a total of Time=169.029 secs. End of run. @x....x....x....x....x....x.... @x....x....x....x....x....x....* Performance of LUQuick.decompose [Mflops/sec] type=dense | density | 0.0010 0.01 0.1 0.999 -------------------------------------- s 30 | 28.057 25.749 13.771 12.179 i 33 | 30.638 25.111 14.328 12.755 z 66 | 68.665 61.011 20.962 18.411 e 100 | 105.87 90.147 28.986 21.527 300 | 273.013 197.183 37.516 25.046 1000 | 733.945 335.008 29.718 19.887 Performance of LUQuick.decompose [Mflops/sec] type=sparse | density | 0.0010 0.01 0.1 0.999 --------------------------------------- s 30 | 6.46 5.413 1.522 0.385 i 33 | 7.008 5.923 1.423 0.746 z 66 | 14.604 11.1 1.944 0.278 e 100 | 20.71 15.428 NaN NaN 300 | 57.666 32.476 NaN NaN 1000 | 155.545 43.349 NaN NaN Speedup of dense over sparse | density | 0.0010 0.01 0.1 0.999 ------------------------------------- s 30 | 4.343 4.757 9.046 31.658 i 33 | 4.372 4.239 10.067 17.101 z 66 | 4.702 5.497 10.78 66.207 e 100 | 5.112 5.843 NaN NaN 300 | 4.734 6.072 NaN NaN 1000 | 4.719 7.728 NaN NaN Run took a total of Time=223.548 secs. End of run. @x....x....x....x....x....x.... @x....x....x....x....x....x....* Performance of LUQuick.solve [Mflops/sec] type=dense | density | 0.0010 0.01 0.1 0.999 ------------------------------------------- s 30 | 108.371 112.137 57.753 22.017 i 33 | 109.337 128.1 61.339 22.871 z 66 | 240.103 290.444 45.126 26.001 e 100 | 451.21 442.507 42.484 27.325 300 | 1.192E+003 701.814 26.65 23.639 1000 | 3.642E+003 70.928 20.353 19.35 Performance of LUQuick.solve [Mflops/sec] type=sparse | density | 0.0010 0.01 0.1 0.999 --------------------------------------- s 30 | 23.189 22.628 5.084 1.885 i 33 | 25.612 25.129 4.798 1.873 z 66 | 52.059 47.359 3.124 1.879 e 100 | 78.662 69.765 NaN NaN 300 | 231.319 42.229 NaN NaN 1000 | 764.122 6.4 NaN NaN Speedup of dense over sparse | density | 0.0010 0.01 0.1 0.999 -------------------------------------- s 30 | 4.673 4.956 11.36 11.678 i 33 | 4.269 5.098 12.784 12.212 z 66 | 4.612 6.133 14.443 13.834 e 100 | 5.736 6.343 NaN NaN 300 | 5.153 16.619 NaN NaN 1000 | 4.766 11.083 NaN NaN Run took a total of Time=787.035 secs. End of run. @x....x....x....x....x....x.... @x....x....x....x....x....x....* Performance of SOR [Mflops/sec] type=dense | density | 0.0010 0.01 0.1 0.999 ------------------------------------ s 30 | 15.618 15.242 15.773 15.59 i 33 | 15.27 15.601 15.406 15.278 z 66 | 14.605 14.769 14.751 14.769 e 100 | 14.334 14.655 14.422 14.461 300 | 12.544 12.572 12.434 12.585 1000 | 12.152 12.17 12.085 11.982 Performance of SOR [Mflops/sec] type=sparse | density | 0.0010 0.01 0.1 0.999 ------------------------------------- s 30 | 2.488 2.505 2.157 2.562 i 33 | 2.467 2.427 2.155 2.53 z 66 | 2.324 2.314 2.019 2.282 e 100 | 2.286 2.24 NaN NaN 300 | 2.232 2.125 NaN NaN 1000 | 2.203 2.03 NaN NaN Speedup of dense over sparse | density | 0.0010 0.01 0.1 0.999 ------------------------------------- s 30 | 6.277 6.086 7.312 6.086 i 33 | 6.191 6.427 7.148 6.038 z 66 | 6.285 6.382 7.307 6.471 e 100 | 6.27 6.543 NaN NaN 300 | 5.619 5.916 NaN NaN 1000 | 5.517 5.994 NaN NaN Run took a total of Time=162.647 secs. End of run. @x....x....x....x....x....x.... @x....x....x....x....x....x....* Performance of Correlation [Mflops/sec] type=dense | density | 0.0010 0.01 0.1 0.999 ------------------------------------ s 30 | 13.642 14.034 13.81 13.249 i 33 | 14.87 14.592 13.938 14.54 z 66 | 19.74 19.38 18.802 19.593 e 100 | 22.634 20.671 21.913 21.881 300 | 22.361 20.538 21.909 21.5 1000 | 19.28 19.275 19.267 19.253 Performance of Correlation [Mflops/sec] type=sparse | density | 0.0010 0.01 0.1 0.999 ------------------------------------- s 30 | 2.129 2.04 2.08 2.139 i 33 | 2.158 2.108 2.052 2.148 z 66 | 2.232 2.223 2.14 2.255 e 100 | 2.268 2.238 NaN NaN 300 | 2.314 2.212 NaN NaN 1000 | 2.361 2.253 NaN NaN Speedup of dense over sparse | density | 0.0010 0.01 0.1 0.999 ------------------------------------- s 30 | 6.407 6.88 6.639 6.195 i 33 | 6.889 6.921 6.793 6.77 z 66 | 8.844 8.719 8.787 8.69 e 100 | 9.982 9.234 NaN NaN 300 | 9.663 9.287 NaN NaN 1000 | 8.166 8.554 NaN NaN Run took a total of Time=1226.006 secs. End of run. Program execution took a total of 58.35815 minutes. Good bye.