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 | 72.148 72.856 77.553 65.259 i 33 | 55.993 60.265 66.304 47.264 z 66 | 41.874 41.737 41.502 41.344 e 100 | 40.807 41.364 42.104 41.375 300 | 20.258 20.157 20.429 20.357 1000 | 19.399 19.324 19.342 19.342 Performance of DoubleMatrix2D assign [Mops/sec] type=sparse | density | 0.0010 0.01 0.1 0.999 --------------------------------------------- s 30 | 62.035 28.36 13.683 2.644 i 33 | 95.487 51.332 17.624 1.807 z 66 | 297.188 111.492 21.432 2.31 e 100 | 377.066 150.811 NaN NaN 300 | 1.323E+003 264.146 NaN NaN 1000 | 1.628E+003 275.615 NaN NaN Speedup of dense over sparse | density | 0.0010 0.01 0.1 0.999 ------------------------------------- s 30 | 1.163 2.569 5.668 24.683 i 33 | 0.586 1.174 3.762 26.15 z 66 | 0.141 0.374 1.936 17.898 e 100 | 0.108 0.274 NaN NaN 300 | 0.015 0.076 NaN NaN 1000 | 0.012 0.07 NaN NaN Run took a total of Time=190.751 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 | 4.927 4.744 4.931 4.958 i 33 | 4.517 4.857 4.868 4.823 z 66 | 5.016 4.938 4.918 4.891 e 100 | 4.912 4.938 4.932 4.926 300 | 4.18 4.176 4.107 4.188 1000 | 4.037 4.039 4.042 4.037 Performance of DoubleMatrix2D assignGetSetQuick [Mops/sec] type=sparse | density | 0.0010 0.01 0.1 0.999 ------------------------------------- s 30 | 1 0.932 0.812 0.445 i 33 | 1.002 0.932 0.764 0.349 z 66 | 0.957 0.938 0.802 0.389 e 100 | 0.964 0.941 NaN NaN 300 | 0.959 0.93 NaN NaN 1000 | 0.954 0.933 NaN NaN Speedup of dense over sparse | density | 0.0010 0.01 0.1 0.999 ------------------------------------- s 30 | 4.927 5.092 6.071 11.138 i 33 | 4.508 5.209 6.369 13.816 z 66 | 5.241 5.266 6.134 12.561 e 100 | 5.098 5.248 NaN NaN 300 | 4.359 4.49 NaN NaN 1000 | 4.231 4.328 NaN NaN Run took a total of Time=168.947 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 | 2.793 2.767 2.82 2.77 i 33 | 2.812 2.802 2.773 2.805 z 66 | 2.824 2.821 2.825 2.858 e 100 | 2.823 2.78 2.851 2.811 300 | 2.562 2.516 2.512 2.526 1000 | 2.493 2.444 2.441 2.463 Performance of DoubleMatrix2D assignGetSet [Mops/sec] type=sparse | density | 0.0010 0.01 0.1 0.999 ------------------------------------- s 30 | 0.861 0.811 0.716 0.395 i 33 | 0.858 0.81 0.728 0.326 z 66 | 0.829 0.815 0.7 0.362 e 100 | 0.833 0.816 NaN NaN 300 | 0.83 0.81 NaN NaN 1000 | 0.828 0.812 NaN NaN Speedup of dense over sparse | density | 0.0010 0.01 0.1 0.999 ------------------------------------- s 30 | 3.246 3.411 3.941 7.015 i 33 | 3.277 3.46 3.811 8.594 z 66 | 3.407 3.459 4.033 7.883 e 100 | 3.391 3.406 NaN NaN 300 | 3.086 3.105 NaN NaN 1000 | 3.011 3.011 NaN NaN Run took a total of Time=164.045 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 | 18.498 18.497 16.814 18.434 i 33 | 75.999 44.205 16.987 19.993 z 66 | 180.208 77.364 24.675 24.234 e 100 | 269.628 107.28 26.316 26.163 300 | 634.321 175.732 20.052 22.059 1000 | 1.238E+003 201.066 18.932 18.935 Performance of DoubleMatrix.zMult(B,C) [Mflops/sec] type=sparse | density | 0.0010 0.01 0.1 0.999 --------------------------------------- s 30 | 1.344 1.306 1.274 1.345 i 33 | 13.965 3.411 1.094 1.101 z 66 | 43.325 5.637 1.057 1.123 e 100 | 62.718 9.634 NaN NaN 300 | 167.183 32.423 NaN NaN 1000 | 392.696 75.25 NaN NaN Speedup of dense over sparse | density | 0.0010 0.01 0.1 0.999 -------------------------------------- s 30 | 13.762 14.163 13.201 13.709 i 33 | 5.442 12.961 15.53 18.162 z 66 | 4.159 13.724 23.345 21.58 e 100 | 4.299 11.136 NaN NaN 300 | 3.794 5.42 NaN NaN 1000 | 3.153 2.672 NaN NaN Run took a total of Time=391.957 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 | 11.469 11.025 10.981 11.229 i 33 | 11 11.015 11.256 11.643 z 66 | 11.947 11.82 11.874 11.874 e 100 | 12.112 11.981 11.828 11.952 300 | 7.753 6.403 6.547 6.471 1000 | 7.874 6.605 6.605 6.609 Performance of DoubleMatrix Elementwise mult [Mflops/sec] type=sparse | density | 0.0010 0.01 0.1 0.999 ------------------------------------- s 30 | 0.609 0.608 0.6 0.618 i 33 | 0.607 0.601 0.565 0.57 z 66 | 0.603 0.604 0.589 0.565 e 100 | 0.606 0.605 NaN NaN 300 | 0.606 0.591 NaN NaN 1000 | 0.611 0.577 NaN NaN Speedup of dense over sparse | density | 0.0010 0.01 0.1 0.999 -------------------------------------- s 30 | 18.844 18.127 18.317 18.183 i 33 | 18.107 18.319 19.908 20.417 z 66 | 19.815 19.573 20.161 21.021 e 100 | 19.985 19.793 NaN NaN 300 | 12.787 10.84 NaN NaN 1000 | 12.89 11.44 NaN NaN Run took a total of Time=171.221 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 | 18.982 17.223 8.871 10.844 i 33 | 21.144 19.34 11.536 11.954 z 66 | 46.86 41.798 20.639 20.001 e 100 | 72.479 62.436 29.51 25.456 300 | 200.101 148.991 43.647 34.466 1000 | 559.754 279.877 32.319 29.631 Performance of LUQuick.decompose [Mflops/sec] type=sparse | density | 0.0010 0.01 0.1 0.999 --------------------------------------- s 30 | 5.005 4.139 1.356 0.4 i 33 | 5.339 4.535 1.282 0.659 z 66 | 11.359 8.552 1.556 0.322 e 100 | 16.029 12.015 NaN NaN 300 | 45.169 25.912 NaN NaN 1000 | 122.752 37.729 NaN NaN Speedup of dense over sparse | density | 0.0010 0.01 0.1 0.999 ------------------------------------- s 30 | 3.792 4.162 6.544 27.083 i 33 | 3.96 4.265 9 18.148 z 66 | 4.126 4.887 13.264 62.116 e 100 | 4.522 5.197 NaN NaN 300 | 4.43 5.75 NaN NaN 1000 | 4.56 7.418 NaN NaN Run took a total of Time=208.389 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 | 77.259 75.015 36.129 13.482 i 33 | 88.404 85.518 38.265 13.852 z 66 | 194.44 189.424 27.088 15.565 e 100 | 297.059 288.72 25.301 16.252 300 | 830.455 462.612 17.97 15.271 1000 | 2.592E+003 51.529 14.909 14.416 Performance of LUQuick.solve [Mflops/sec] type=sparse | density | 0.0010 0.01 0.1 0.999 --------------------------------------- s 30 | 17.994 17.379 3.66 1.446 i 33 | 19.73 19.331 3.703 1.463 z 66 | 40.044 36.5 2.477 1.474 e 100 | 60.849 54.269 NaN NaN 300 | 179.829 34.356 NaN NaN 1000 | 596.899 4.884 NaN NaN Speedup of dense over sparse | density | 0.0010 0.01 0.1 0.999 -------------------------------------- s 30 | 4.294 4.316 9.871 9.325 i 33 | 4.481 4.424 10.335 9.465 z 66 | 4.856 5.19 10.937 10.56 e 100 | 4.882 5.32 NaN NaN 300 | 4.618 13.465 NaN NaN 1000 | 4.343 10.55 NaN NaN Run took a total of Time=955.159 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 | 13.27 13.236 13.301 13.264 i 33 | 13.301 13.226 13.112 13.099 z 66 | 12.518 12.526 12.526 12.477 e 100 | 12.208 12.22 12.208 12.227 300 | 10.9 10.942 10.954 10.942 1000 | 10.676 10.7 10.7 10.71 Performance of SOR [Mflops/sec] type=sparse | density | 0.0010 0.01 0.1 0.999 ------------------------------------- s 30 | 2.055 1.972 1.881 2.186 i 33 | 2.042 2.021 1.854 2.066 z 66 | 1.924 1.911 1.657 1.979 e 100 | 1.895 1.807 NaN NaN 300 | 1.848 1.769 NaN NaN 1000 | 1.843 1.752 NaN NaN Speedup of dense over sparse | density | 0.0010 0.01 0.1 0.999 ------------------------------------- s 30 | 6.458 6.712 7.071 6.069 i 33 | 6.512 6.543 7.073 6.34 z 66 | 6.505 6.553 7.557 6.304 e 100 | 6.441 6.764 NaN NaN 300 | 5.9 6.186 NaN NaN 1000 | 5.792 6.108 NaN NaN Run took a total of Time=165.514 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 | 11.324 9.106 5.681 10.675 i 33 | 12.262 9.522 6.291 11.842 z 66 | 18.938 13.537 10.745 18.629 e 100 | 23.126 16.525 14.326 22.83 300 | 25.533 21.681 20.007 27.345 1000 | 21.805 24.525 24.658 25.25 Performance of Correlation [Mflops/sec] type=sparse | density | 0.0010 0.01 0.1 0.999 ------------------------------------- s 30 | 0.998 0.975 0.91 1.007 i 33 | 1.008 0.975 0.917 1.011 z 66 | 1.036 1.013 0.976 1.047 e 100 | 1.046 1.023 NaN NaN 300 | 1.063 1.033 NaN NaN 1000 | 1.078 1.052 NaN NaN Speedup of dense over sparse | density | 0.0010 0.01 0.1 0.999 -------------------------------------- s 30 | 11.347 9.344 6.241 10.599 i 33 | 12.163 9.768 6.857 11.717 z 66 | 18.282 13.365 11.013 17.785 e 100 | 22.103 16.154 NaN NaN 300 | 24.029 20.986 NaN NaN 1000 | 20.235 23.322 NaN NaN Run took a total of Time=2228.253 secs. End of run. Program execution took a total of 77.4098 minutes. Good bye.