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Parallel Colt is a multithreaded version of Colt - a library for high performance scientific computing in Java. It contains efficient algorithms for data analysis, linear algebra, multi-dimensional arrays, Fourier transforms, statistics and histogramming.
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Colt Matrix benchmark running on
java.vm.vendor ?
java.vm.version ?
java.vm.name ?
os.name Windows NT
os.version 4.0
os.arch x86
java.version 1.1.8
java.vendor IBM Corporation
java.vendor.url http://www.ibm.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 | 9.427 9.242 9.351 9.069
i 33 | 9.021 10.094 9.894 9.439
z 66 | 4.244 5.512 5.094 4.906
e 100 | 5.604 5.169 5.532 5.557
300 | 5.336 3.38 4.844 5.009
Performance of DoubleMatrix2D assign [Mops/sec]
type=sparse
| density
| 0.0010 0.01 0.1 0.99
----------------------------------
s 30 | 48.749 25.329 5.23 0.858
i 33 | 60.096 30.266 6.647 0.513
z 66 | 170.858 48.24 6.611 0.566
e 100 | 276.408 62.387 4.615 0.697
300 | 535.505 68.536 6.187 0.445
Speedup of dense over sparse
| density
| 0.0010 0.01 0.1 0.99
---------------------------------
s 30 | 0.193 0.365 1.788 10.569
i 33 | 0.15 0.334 1.488 18.412
z 66 | 0.025 0.114 0.771 8.669
e 100 | 0.02 0.083 1.199 7.97
300 | 0.01 0.049 0.783 11.26
Run took a total of Time=177.715 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 | 1.784 1.753 1.757 1.76
i 33 | 1.715 1.749 1.594 1.74
z 66 | 1.479 1.45 1.488 1.522
e 100 | 1.532 1.522 1.604 1.643
300 | 1.506 1.463 1.59 1.586
Performance of DoubleMatrix2D assignGetSetQuick [Mops/sec]
type=sparse
| density
| 0.0010 0.01 0.1 0.99
--------------------------------
s 30 | 0.338 0.329 0.284 0.157
i 33 | 0.337 0.325 0.284 0.128
z 66 | 0.329 0.321 0.289 0.138
e 100 | 0.333 0.323 0.27 0.154
300 | 0.33 0.32 0.283 0.126
Speedup of dense over sparse
| density
| 0.0010 0.01 0.1 0.99
---------------------------------
s 30 | 5.287 5.334 6.183 11.194
i 33 | 5.086 5.389 5.615 13.617
z 66 | 4.5 4.51 5.146 11.044
e 100 | 4.603 4.711 5.951 10.668
300 | 4.567 4.579 5.609 12.589
Run took a total of Time=161.893 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 | 1.135 1.173 1.138 1.141
i 33 | 1.131 1.153 1.136 1.142
z 66 | 1.063 1.003 1.031 1.043
e 100 | 1.116 1.079 1.054 1.077
300 | 0.97 1.117 1.084 1.066
Performance of DoubleMatrix2D assignGetSet [Mops/sec]
type=sparse
| density
| 0.0010 0.01 0.1 0.99
--------------------------------
s 30 | 0.306 0.297 0.26 0.15
i 33 | 0.305 0.295 0.263 0.119
z 66 | 0.301 0.298 0.261 0.129
e 100 | 0.298 0.293 0.252 0.143
300 | 0.3 0.29 0.26 0.125
Speedup of dense over sparse
| density
| 0.0010 0.01 0.1 0.99
--------------------------------
s 30 | 3.713 3.945 4.383 7.612
i 33 | 3.711 3.914 4.325 9.638
z 66 | 3.531 3.365 3.942 8.072
e 100 | 3.745 3.682 4.182 7.516
300 | 3.238 3.853 4.163 8.5
Run took a total of Time=157.917 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 | 23.694 24.835 24.697 24.504
i 33 | 37.673 28.121 16.455 15.93
z 66 | 82.096 40.924 14.844 15.789
e 100 | 121.541 55.122 16.807 16.724
300 | 227.01 88.38 17.17 17.225
Performance of DoubleMatrix.zMult(B,C) [Mflops/sec]
type=sparse
| density
| 0.0010 0.01 0.1 0.99
---------------------------------
s 30 | 0.677 0.664 0.628 0.634
i 33 | 6.109 2.056 0.69 0.656
z 66 | 16.042 3.281 0.668 0.67
e 100 | 23.727 5.348 0.668 0.655
300 | 60.606 14.815 0.641 0.668
Speedup of dense over sparse
| density
| 0.0010 0.01 0.1 0.99
-----------------------------------
s 30 | 34.974 37.381 39.313 38.628
i 33 | 6.167 13.68 23.845 24.299
z 66 | 5.117 12.473 22.236 23.551
e 100 | 5.122 10.308 25.16 25.546
300 | 3.746 5.966 26.795 25.775
Run took a total of Time=299.03 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 | 9.889 11.182 6.61 7.977
i 33 | 4.839 5.526 5.645 5.1
z 66 | 4.918 4.394 4.486 5.451
e 100 | 4.764 4.829 4.753 4.572
300 | 3.916 4.066 3.883 3.95
Performance of DoubleMatrix Elementwise mult [Mflops/sec]
type=sparse
| density
| 0.0010 0.01 0.1 0.99
--------------------------------
s 30 | 0.215 0.215 0.21 0.2
i 33 | 0.215 0.212 0.207 0.188
z 66 | 0.211 0.211 0.204 0.202
e 100 | 0.216 0.209 0.207 0.192
300 | 0.213 0.207 0.207 0.23
Speedup of dense over sparse
| density
| 0.0010 0.01 0.1 0.99
-----------------------------------
s 30 | 46.049 52.044 31.467 39.919
i 33 | 22.536 26.119 27.287 27.113
z 66 | 23.308 20.83 21.972 27.004
e 100 | 22.081 23.144 22.987 23.859
300 | 18.39 19.634 18.752 17.15
Run took a total of Time=175.102 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 | 9.351 8.513 5.643 5.848
i 33 | 10.169 9.49 6.323 6.572
z 66 | 19.914 19.135 8.97 8.779
e 100 | 33.463 27.261 12.103 10.528
300 | 76.343 53.386 17.621 13.667
Performance of LUQuick.decompose [Mflops/sec]
type=sparse
| density
| 0.0010 0.01 0.1 0.99
--------------------------------
s 30 | 1.95 1.652 0.569 0.267
i 33 | 2.104 1.818 0.54 0.34
z 66 | 4.315 3.377 0.626 0.255
e 100 | 6.34 4.66 0.802 0.174
300 | 17.2 9.587 1.034 0.103
Speedup of dense over sparse
| density
| 0.0010 0.01 0.1 0.99
-----------------------------------
s 30 | 4.795 5.153 9.909 21.908
i 33 | 4.834 5.22 11.716 19.33
z 66 | 4.615 5.666 14.328 34.415
e 100 | 5.278 5.851 15.086 60.421
300 | 4.439 5.568 17.039 132.559
Run took a total of Time=331.177 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 | 32.834 37.457 19.365 9.276
i 33 | 42.581 42.096 20.71 9.571
z 66 | 87.239 85.445 16.581 11.115
e 100 | 136.004 154.068 15.976 10.225
300 | 352.773 195.193 12.294 11.942
Performance of LUQuick.solve [Mflops/sec]
type=sparse
| density
| 0.0010 0.01 0.1 0.99
---------------------------------
s 30 | 7.187 7.076 1.674 0.568
i 33 | 8.88 7.594 1.581 0.574
z 66 | 15.581 14.93 0.984 0.577
e 100 | 23.163 20.07 0.917 0.58
300 | 70.272 14.202 0.661 0.567
Speedup of dense over sparse
| density
| 0.0010 0.01 0.1 0.99
-----------------------------------
s 30 | 4.568 5.293 11.566 16.331
i 33 | 4.795 5.543 13.099 16.665
z 66 | 5.599 5.723 16.852 19.262
e 100 | 5.872 7.677 17.424 17.642
300 | 5.02 13.744 18.613 21.048
Run took a total of Time=373.947 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 | 9.801 9.558 10.156 10.003
i 33 | 9.901 8.684 10.725 10.774
z 66 | 9.42 10.02 9.644 9.536
e 100 | 9.454 9.588 9.689 8.013
300 | 9.538 9.095 9.523 9.455
Performance of SOR [Mflops/sec]
type=sparse
| density
| 0.0010 0.01 0.1 0.99
--------------------------------
s 30 | 0.749 0.727 0.645 0.724
i 33 | 0.755 0.721 0.643 0.725
z 66 | 0.694 0.678 0.609 0.69
e 100 | 0.686 0.679 0.582 0.662
300 | 0.669 0.642 0.576 0.616
Speedup of dense over sparse
| density
| 0.0010 0.01 0.1 0.99
-----------------------------------
s 30 | 13.08 13.14 15.737 13.82
i 33 | 13.121 12.04 16.69 14.868
z 66 | 13.569 14.771 15.827 13.817
e 100 | 13.791 14.113 16.657 12.099
300 | 14.266 14.171 16.542 15.339
Run took a total of Time=164.167 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 | 6.538 6.279 7.071 6.613
i 33 | 6.973 6.998 7.728 6.318
z 66 | 9.657 9.615 10.316 9.861
e 100 | 10.641 9.257 11.526 9.897
300 | 12.671 15.547 15.547 15.283
Performance of Correlation [Mflops/sec]
type=sparse
| density
| 0.0010 0.01 0.1 0.99
--------------------------------
s 30 | 0.515 0.542 0.546 0.52
i 33 | 0.52 0.523 0.536 0.417
z 66 | 0.461 0.583 0.494 0.518
e 100 | 0.568 0.636 0.559 0.613
300 | 0.529 0.58 0.58 0.603
Speedup of dense over sparse
| density
| 0.0010 0.01 0.1 0.99
-----------------------------------
s 30 | 12.697 11.593 12.944 12.72
i 33 | 13.422 13.39 14.417 15.156
z 66 | 20.954 16.497 20.891 19.031
e 100 | 18.728 14.55 20.628 16.144
300 | 23.935 26.799 26.816 25.351
Run took a total of Time=327.2 secs. End of run.
Program execution took a total of 36.173347 minutes.
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