Colt Matrix benchmark running on java.vm.vendor Sun Microsystems Inc. java.vm.version 1.2 java.vm.name Classic VM os.name Linux os.version 2.2.12-20 os.arch i386 java.version 1.2 java.vendor Sun Microsystems Inc. java.vendor.url http://java.sun.com/ @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 0.99 ----------------------------------- s 30 | 94.226 82.951 83.753 87.891 i 33 | 59.244 41.933 62.03 58.52 z 66 | 41.457 38.795 39.744 39.11 e 100 | 39.656 39.464 39.96 39.626 300 | 18.506 17.738 17.907 17.804 Performance of DoubleMatrix2D assign [Mops/sec] type=sparse | density | 0.0010 0.01 0.1 0.99 ----------------------------------------- s 30 | 54.517 30.869 13.099 2.564 i 33 | 113.38 37.577 16.068 1.737 z 66 | 298.229 92.842 21.464 2.121 e 100 | 307.347 147.517 16.044 2.676 300 | 1.289E+003 259.31 23.216 1.174 Speedup of dense over sparse | density | 0.0010 0.01 0.1 0.99 --------------------------------- s 30 | 1.728 2.687 6.394 34.273 i 33 | 0.523 1.116 3.86 33.693 z 66 | 0.139 0.418 1.852 18.44 e 100 | 0.129 0.268 2.491 14.808 300 | 0.014 0.068 0.771 15.171 Run took a total of Time=181.15 secs. End of run. @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 0.99 -------------------------------- s 30 | 4.242 4.264 4.269 4.279 i 33 | 4.252 4.22 4.242 4.217 z 66 | 4.16 4.309 4.216 4.218 e 100 | 4.232 4.217 4.272 4.281 300 | 3.746 3.706 3.602 3.582 Performance of DoubleMatrix2D assignGetSetQuick [Mops/sec] type=sparse | density | 0.0010 0.01 0.1 0.99 -------------------------------- s 30 | 0.904 0.869 0.73 0.391 i 33 | 0.908 0.86 0.769 0.32 z 66 | 0.899 0.867 0.787 0.356 e 100 | 0.907 0.888 0.722 0.391 300 | 0.898 0.877 0.76 0.31 Speedup of dense over sparse | density | 0.0010 0.01 0.1 0.99 --------------------------------- s 30 | 4.694 4.905 5.85 10.955 i 33 | 4.682 4.907 5.516 13.182 z 66 | 4.626 4.968 5.356 11.851 e 100 | 4.667 4.748 5.915 10.946 300 | 4.172 4.225 4.739 11.571 Run took a total of Time=160.328 secs. End of run. @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 0.99 -------------------------------- s 30 | 2.667 2.657 2.676 2.672 i 33 | 2.645 2.645 2.645 2.645 z 66 | 2.655 2.65 2.654 2.653 e 100 | 2.647 2.634 2.644 2.63 300 | 2.409 2.385 2.409 2.38 Performance of DoubleMatrix2D assignGetSet [Mops/sec] type=sparse | density | 0.0010 0.01 0.1 0.99 -------------------------------- s 30 | 0.839 0.79 0.637 0.379 i 33 | 0.837 0.789 0.703 0.315 z 66 | 0.806 0.795 0.682 0.351 e 100 | 0.814 0.796 0.693 0.386 300 | 0.807 0.785 0.692 0.307 Speedup of dense over sparse | density | 0.0010 0.01 0.1 0.99 -------------------------------- s 30 | 3.18 3.365 4.2 7.042 i 33 | 3.159 3.351 3.76 8.393 z 66 | 3.294 3.332 3.893 7.567 e 100 | 3.251 3.308 3.812 6.822 300 | 2.985 3.037 3.479 7.74 Run took a total of Time=156.659 secs. End of run. @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 0.99 ------------------------------------- s 30 | 23.649 23.584 23.632 23.617 i 33 | 71.912 49.372 27.959 22.081 z 66 | 172.052 94.519 33.433 33.772 e 100 | 264.948 126.199 37.792 39.168 300 | 654.718 216.108 24.977 24.324 Performance of DoubleMatrix.zMult(B,C) [Mflops/sec] type=sparse | density | 0.0010 0.01 0.1 0.99 ---------------------------------- s 30 | 1.84 1.769 1.696 1.793 i 33 | 14.957 4.684 1.585 1.636 z 66 | 39.289 7.778 1.56 1.674 e 100 | 57.171 12.72 1.561 1.692 300 | 151.331 36.193 1.472 1.598 Speedup of dense over sparse | density | 0.0010 0.01 0.1 0.99 ----------------------------------- s 30 | 12.855 13.334 13.935 13.173 i 33 | 4.808 10.54 17.635 13.498 z 66 | 4.379 12.153 21.436 20.175 e 100 | 4.634 9.921 24.206 23.148 300 | 4.326 5.971 16.965 15.224 Run took a total of Time=208.171 secs. End of run. @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 0.99 ----------------------------------- s 30 | 16.224 16.965 16.075 16.154 i 33 | 15.962 15.211 16.787 17.103 z 66 | 16.869 14.916 14.929 14.919 e 100 | 14.73 14.709 14.713 14.601 300 | 6.952 6.664 6.814 9.229 Performance of DoubleMatrix Elementwise mult [Mflops/sec] type=sparse | density | 0.0010 0.01 0.1 0.99 -------------------------------- s 30 | 0.558 0.555 0.576 0.53 i 33 | 0.555 0.55 0.542 0.531 z 66 | 0.545 0.554 0.538 0.52 e 100 | 0.556 0.551 0.549 0.501 300 | 0.555 0.54 0.52 0.486 Speedup of dense over sparse | density | 0.0010 0.01 0.1 0.99 ----------------------------------- s 30 | 29.102 30.563 27.902 30.486 i 33 | 28.779 27.643 30.96 32.179 z 66 | 30.965 26.935 27.741 28.674 e 100 | 26.487 26.704 26.81 29.118 300 | 12.52 12.348 13.112 19.005 Run took a total of Time=164.533 secs. End of run. @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 0.99 ------------------------------------- s 30 | 15.702 15.505 8.841 8.008 i 33 | 18.937 17.512 9.324 8.889 z 66 | 42.264 37.863 15.569 14.158 e 100 | 65.513 56.832 22.099 17.438 300 | 181.178 134.128 32.36 21.924 Performance of LUQuick.decompose [Mflops/sec] type=sparse | density | 0.0010 0.01 0.1 0.99 --------------------------------- s 30 | 4.635 3.152 1.377 0.664 i 33 | 4.989 4.257 1.315 0.844 z 66 | 10.5 8.077 1.622 0.647 e 100 | 15.092 11.311 2.141 0.458 300 | 42.293 24.468 2.732 0.279 Speedup of dense over sparse | density | 0.0010 0.01 0.1 0.99 ---------------------------------- s 30 | 3.388 4.919 6.421 12.066 i 33 | 3.796 4.114 7.09 10.532 z 66 | 4.025 4.688 9.6 21.886 e 100 | 4.341 5.025 10.324 38.071 300 | 4.284 5.482 11.844 78.715 Run took a total of Time=207.526 secs. End of run. @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 0.99 ------------------------------------- s 30 | 77.868 76.473 30.938 12.804 i 33 | 88.397 86.286 32.596 13.265 z 66 | 200.525 193.055 26.704 15.917 e 100 | 315.2 292.3 26.566 17.068 300 | 838.431 397.797 18.536 15.907 Performance of LUQuick.solve [Mflops/sec] type=sparse | density | 0.0010 0.01 0.1 0.99 ---------------------------------- s 30 | 16.704 16.471 3.681 1.349 i 33 | 18.365 18.141 3.518 1.354 z 66 | 37.499 36.153 2.334 1.364 e 100 | 56.859 54.296 2.185 1.375 300 | 169.086 33.579 1.521 1.351 Speedup of dense over sparse | density | 0.0010 0.01 0.1 0.99 ----------------------------------- s 30 | 4.662 4.643 8.404 9.492 i 33 | 4.813 4.756 9.266 9.794 z 66 | 5.347 5.34 11.443 11.665 e 100 | 5.544 5.383 12.156 12.416 300 | 4.959 11.847 12.189 11.773 Run took a total of Time=238.383 secs. End of run. @x....x....x....x....x.... @x....x....x....x....x....* Performance of SOR [Mflops/sec] type=dense | density | 0.0010 0.01 0.1 0.99 ----------------------------------- s 30 | 18.375 18.597 18.528 18.66 i 33 | 18.537 18.575 18.372 18.407 z 66 | 17.574 17.672 17.691 17.526 e 100 | 17.23 17.032 16.358 17.239 300 | 14.786 15 14.992 15.051 Performance of SOR [Mflops/sec] type=sparse | density | 0.0010 0.01 0.1 0.99 -------------------------------- s 30 | 1.833 1.821 1.596 1.783 i 33 | 1.823 1.776 1.595 1.842 z 66 | 1.713 1.701 1.456 1.786 e 100 | 1.687 1.656 1.478 1.602 300 | 1.646 1.525 1.43 1.5 Speedup of dense over sparse | density | 0.0010 0.01 0.1 0.99 ----------------------------------- s 30 | 10.022 10.213 11.608 10.463 i 33 | 10.17 10.458 11.521 9.994 z 66 | 10.259 10.392 12.154 9.814 e 100 | 10.212 10.285 11.068 10.758 300 | 8.981 9.838 10.48 10.034 Run took a total of Time=158.007 secs. End of run. @x....x....x....x....x.... @x....x....x....x....x....* Performance of Correlation [Mflops/sec] type=dense | density | 0.0010 0.01 0.1 0.99 ----------------------------------- s 30 | 8.828 6.926 4.014 6.762 i 33 | 9.918 7.498 4.473 6.923 z 66 | 15.391 9.958 7.727 10.371 e 100 | 20.08 12.249 10.495 13.467 300 | 21.247 17.642 17.489 17.255 Performance of Correlation [Mflops/sec] type=sparse | density | 0.0010 0.01 0.1 0.99 -------------------------------- s 30 | 1.277 1.223 1.086 1.217 i 33 | 1.254 1.178 1.1 1.217 z 66 | 1.394 1.393 1.251 1.389 e 100 | 1.487 1.474 1.433 1.47 300 | 1.349 1.473 1.404 1.507 Speedup of dense over sparse | density | 0.0010 0.01 0.1 0.99 ----------------------------------- s 30 | 6.913 5.663 3.694 5.557 i 33 | 7.91 6.364 4.065 5.688 z 66 | 11.038 7.148 6.178 7.466 e 100 | 13.499 8.311 7.322 9.16 300 | 15.75 11.977 12.457 11.449 Run took a total of Time=202.475 secs. End of run. Program execution took a total of 27.962118 minutes. Good bye.