Multi-stage Kmeans performance on PowerPS
Configuration & Result:
Data set: mni8m
# of classes: 10
# of data: 8,100,000
# of features: 784
# of loading workers: 10
Multi-stage with different # of workers
| Stage |
# of worker |
# of iterations |
batch size |
learning rate coefficient |
time used |
| Stage 1 |
5 |
10000 |
100 |
0.03 |
34.114s |
| Stage 2 |
10 |
10000 |
300 |
0.03 |
47.240s |
| Stage 3 |
20 |
10000 |
1000 |
0.03 |
75.341s |
Total time: 218.339s (including loading task, init task and training task)
Multi-stage with constant # of workers
| Stage |
# of worker |
# of iterations |
batch size |
learning rate coefficient |
time used |
| Stage 1 |
20 |
10000 |
100 |
0.03 |
73.993s |
| Stage 2 |
20 |
10000 |
300 |
0.03 |
74.483s |
| Stage 3 |
20 |
10000 |
1000 |
0.03 |
75.264s |
Total time: 292.449s (including loading task, init task and training task)
Multi-stage Kmeans performance on PowerPS
Configuration & Result:
Data set:mni8m# of classes: 10
# of data: 8,100,000
# of features: 784
# of loading workers: 10
Multi-stage with different # of workers
Total time: 218.339s(including loading task, init task and training task)Multi-stage with constant # of workers
Total time: 292.449s(including loading task, init task and training task)