cern.colt.matrix.doc-files.perfBlackdown12pre2.txt Maven / Gradle / Ivy
Go to download
Show more of this group Show more artifacts with this name
Show all versions of parallelcolt Show documentation
Show all versions of parallelcolt Show documentation
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.
The newest version!
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.
© 2015 - 2025 Weber Informatics LLC | Privacy Policy