Colt Matrix benchmark running on java.vm.vendor Sun Microsystems Inc. java.vm.version 1.2.2 java.vm.name Classic VM os.name SunOS os.version 5.6 os.arch sparc 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 | 50.611 48.976 51.422 40.998 i 33 | 51.926 50.73 51.232 51.087 z 66 | 35.672 38.747 37.082 66.355 e 100 | 34.61 34.919 45.341 79.38 300 | 33.078 34.945 58.917 32.68 1000 | 30.359 33.066 35.247 33.203 Performance of DoubleMatrix2D assign [Mops/sec] type=sparse | density | 0.0010 0.01 0.1 0.999 --------------------------------------------- s 30 | 52.678 32.446 12.073 2.422 i 33 | 67.286 41.431 14.09 1.792 z 66 | 198.475 91.727 20.491 2.146 e 100 | 334.124 128.369 NaN NaN 300 | 1.17E+003 243.04 NaN NaN 1000 | 1.587E+003 264.553 NaN NaN Speedup of dense over sparse | density | 0.0010 0.01 0.1 0.999 ------------------------------------- s 30 | 0.961 1.509 4.259 16.924 i 33 | 0.772 1.224 3.636 28.512 z 66 | 0.18 0.422 1.81 30.919 e 100 | 0.104 0.272 NaN NaN 300 | 0.028 0.144 NaN NaN 1000 | 0.019 0.125 NaN NaN Run took a total of Time=207.358 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 | 2.14 2.109 2.154 2.367 i 33 | 2.305 2.282 1.71 2.275 z 66 | 2.175 2.015 2.098 2.102 e 100 | 2.172 2.175 2.176 2.182 300 | 2.095 2.088 1.969 2.061 1000 | 1.889 1.998 1.804 1.993 Performance of DoubleMatrix2D assignGetSetQuick [Mops/sec] type=sparse | density | 0.0010 0.01 0.1 0.999 ------------------------------------- s 30 | 0.481 0.471 0.413 0.252 i 33 | 0.493 0.474 0.432 0.212 z 66 | 0.471 0.463 0.432 0.229 e 100 | 0.472 0.474 NaN NaN 300 | 0.479 0.453 NaN NaN 1000 | 0.465 0.462 NaN NaN Speedup of dense over sparse | density | 0.0010 0.01 0.1 0.999 ------------------------------------- s 30 | 4.451 4.474 5.209 9.393 i 33 | 4.671 4.815 3.96 10.711 z 66 | 4.618 4.35 4.861 9.168 e 100 | 4.6 4.594 NaN NaN 300 | 4.377 4.606 NaN NaN 1000 | 4.062 4.324 NaN NaN Run took a total of Time=162.74 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 | 1.455 1.377 1.42 1.199 i 33 | 1.363 1.371 1.367 1.307 z 66 | 1.344 1.342 1.342 1.131 e 100 | 1.346 1.343 1.347 1.346 300 | 1.212 1.315 1.129 1.294 1000 | 1.203 1.268 1.265 1.259 Performance of DoubleMatrix2D assignGetSet [Mops/sec] type=sparse | density | 0.0010 0.01 0.1 0.999 ------------------------------------- s 30 | 0.42 0.396 0.34 0.232 i 33 | 0.418 0.413 0.351 0.197 z 66 | 0.413 0.405 0.381 0.21 e 100 | 0.415 0.41 NaN NaN 300 | 0.395 0.402 NaN NaN 1000 | 0.411 0.405 NaN NaN Speedup of dense over sparse | density | 0.0010 0.01 0.1 0.999 ------------------------------------- s 30 | 3.466 3.477 4.172 5.157 i 33 | 3.265 3.322 3.896 6.626 z 66 | 3.257 3.318 3.519 5.379 e 100 | 3.241 3.275 NaN NaN 300 | 3.065 3.268 NaN NaN 1000 | 2.93 3.131 NaN NaN Run took a total of Time=163.725 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 | 23.683 23.746 23.571 23.341 i 33 | 44.956 32.32 18.397 18.803 z 66 | 96.951 43.991 23.803 20.81 e 100 | 153.296 77.975 27.317 25.048 300 | 384.146 138.402 23.841 23.067 1000 | 760.746 153.198 22.933 22.523 Performance of DoubleMatrix.zMult(B,C) [Mflops/sec] type=sparse | density | 0.0010 0.01 0.1 0.999 --------------------------------------- s 30 | 0.994 0.971 0.914 0.924 i 33 | 9.056 2.938 1.001 1.046 z 66 | 23.533 4.668 0.971 0.998 e 100 | 34.247 7.855 NaN NaN 300 | 89.293 21.386 NaN NaN 1000 | 210.793 40.989 NaN NaN Speedup of dense over sparse | density | 0.0010 0.01 0.1 0.999 -------------------------------------- s 30 | 23.837 24.454 25.778 25.255 i 33 | 4.964 11.001 18.374 17.973 z 66 | 4.12 9.424 24.507 20.856 e 100 | 4.476 9.927 NaN NaN 300 | 4.302 6.472 NaN NaN 1000 | 3.609 3.737 NaN NaN Run took a total of Time=385.078 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 | 12.067 14.148 14.365 12.862 i 33 | 11.744 14.002 11.695 10.333 z 66 | 11.347 8.23 8.394 7.249 e 100 | 7.706 7.401 7.99 7.523 300 | 7.577 8.612 11.519 12.082 1000 | 7.589 7.665 7.784 7.514 Performance of DoubleMatrix Elementwise mult [Mflops/sec] type=sparse | density | 0.0010 0.01 0.1 0.999 ------------------------------------- s 30 | 0.292 0.294 0.294 0.267 i 33 | 0.286 0.287 0.291 0.262 z 66 | 0.293 0.295 0.273 0.275 e 100 | 0.281 0.292 NaN NaN 300 | 0.291 0.28 NaN NaN 1000 | 0.283 0.283 NaN NaN Speedup of dense over sparse | density | 0.0010 0.01 0.1 0.999 -------------------------------------- s 30 | 41.26 48.054 48.88 48.196 i 33 | 40.993 48.786 40.187 39.459 z 66 | 38.782 27.916 30.804 26.334 e 100 | 27.458 25.339 NaN NaN 300 | 26.051 30.742 NaN NaN 1000 | 26.812 27.073 NaN NaN Run took a total of Time=172.681 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 | 10.433 9.52 6.793 6.517 i 33 | 9.453 10.928 7.379 7.09 z 66 | 25.092 22.833 12.822 9.718 e 100 | 37.446 31.121 18.018 15.737 300 | 105.058 83.955 24.194 24.011 1000 | 276.51 164.487 30.901 24.527 Performance of LUQuick.decompose [Mflops/sec] type=sparse | density | 0.0010 0.01 0.1 0.999 -------------------------------------- s 30 | 2.796 2.417 0.835 0.188 i 33 | 3.046 2.604 0.791 0.336 z 66 | 6.267 4.794 0.928 0.137 e 100 | 8.996 6.219 NaN NaN 300 | 25.14 14.09 NaN NaN 1000 | 66.381 20.176 NaN NaN Speedup of dense over sparse | density | 0.0010 0.01 0.1 0.999 ------------------------------------- s 30 | 3.731 3.939 8.136 34.759 i 33 | 3.104 4.197 9.333 21.128 z 66 | 4.004 4.763 13.815 70.908 e 100 | 4.162 5.004 NaN NaN 300 | 4.179 5.958 NaN NaN 1000 | 4.165 8.153 NaN NaN Run took a total of Time=236.709 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 | 54.678 54.323 30.43 15.455 i 33 | 61.571 58.902 37.943 15.235 z 66 | 125.419 122.047 25.812 15.815 e 100 | 204.674 188.824 31.108 20.24 300 | 641.5 475.727 25.118 21.509 1000 | 1.777E+003 71.963 19.394 19.598 Performance of LUQuick.solve [Mflops/sec] type=sparse | density | 0.0010 0.01 0.1 0.999 --------------------------------------- s 30 | 9.281 9.277 2.095 0.764 i 33 | 10.179 10.145 2.155 0.743 z 66 | 20.618 18.586 1.303 0.77 e 100 | 30.405 28.451 NaN NaN 300 | 91.831 17.793 NaN NaN 1000 | 303.471 2.643 NaN NaN Speedup of dense over sparse | density | 0.0010 0.01 0.1 0.999 -------------------------------------- s 30 | 5.891 5.856 14.525 20.219 i 33 | 6.049 5.806 17.605 20.505 z 66 | 6.083 6.567 19.802 20.528 e 100 | 6.732 6.637 NaN NaN 300 | 6.986 26.737 NaN NaN 1000 | 5.856 27.23 NaN NaN Run took a total of Time=1253.427 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 | 10.915 10.975 10.814 10.694 i 33 | 10.184 10.61 10.862 10.399 z 66 | 9.536 9.225 9.816 9.636 e 100 | 9.434 9.457 9.625 9.684 300 | 9.367 9.759 9.444 9.694 1000 | 9.188 9.105 9.17 9.114 Performance of SOR [Mflops/sec] type=sparse | density | 0.0010 0.01 0.1 0.999 ------------------------------------- s 30 | 1.106 1.09 0.912 1.049 i 33 | 1.084 1.076 0.972 1.093 z 66 | 0.96 0.997 0.884 0.915 e 100 | 0.96 0.978 NaN NaN 300 | 0.955 0.917 NaN NaN 1000 | 0.957 0.92 NaN NaN Speedup of dense over sparse | density | 0.0010 0.01 0.1 0.999 -------------------------------------- s 30 | 9.868 10.071 11.859 10.198 i 33 | 9.398 9.857 11.175 9.512 z 66 | 9.929 9.254 11.101 10.536 e 100 | 9.827 9.667 NaN NaN 300 | 9.805 10.645 NaN NaN 1000 | 9.597 9.901 NaN NaN Run took a total of Time=171.003 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 | 7.781 7.453 5.712 8.237 i 33 | 8.949 8.048 6.039 8.78 z 66 | 11.984 11.58 9.195 13.767 e 100 | 17.042 12.974 11.266 16.724 300 | 24.372 20.141 19.716 20.269 1000 | 23.261 21.518 22.949 24.271 Performance of Correlation [Mflops/sec] type=sparse | density | 0.0010 0.01 0.1 0.999 ------------------------------------- s 30 | 0.953 0.95 0.874 0.936 i 33 | 0.97 0.946 0.882 0.914 z 66 | 0.964 0.986 0.902 0.971 e 100 | 1.016 0.989 NaN NaN 300 | 1.041 0.993 NaN NaN 1000 | 1.051 1.021 NaN NaN Speedup of dense over sparse | density | 0.0010 0.01 0.1 0.999 -------------------------------------- s 30 | 8.169 7.845 6.535 8.803 i 33 | 9.23 8.511 6.851 9.604 z 66 | 12.436 11.751 10.199 14.178 e 100 | 16.778 13.122 NaN NaN 300 | 23.402 20.286 NaN NaN 1000 | 22.124 21.066 NaN NaN Run took a total of Time=2291.935 secs. End of run. Program execution took a total of 84.087814 minutes. Good bye.