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GoogleCodeExporter avatar GoogleCodeExporter commented on June 21, 2024

Original comment by [email protected] on 5 May 2008 at 11:25

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GoogleCodeExporter avatar GoogleCodeExporter commented on June 21, 2024
Hi William,

For you problem, the problem size is too small.
If the dataset could be larger, most time will be spent on the step E = I + H^T 
* D *
H and this step could archive good speedup. For small dataset, time is mostly 
spent
on other steps (such as CF: cholesky factorization) and in this case, the 
speedup is low.

Original comment by [email protected] on 5 May 2008 at 12:17

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GoogleCodeExporter avatar GoogleCodeExporter commented on June 21, 2024
Thanks. Let me have a try on larger dataset.
Rcv1 dataset is selected to test it.

Original comment by [email protected] on 6 May 2008 at 9:46

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GoogleCodeExporter avatar GoogleCodeExporter commented on June 21, 2024
Hi, 
After do some large dataset, i found the psvm is a large memory-consuming code 
during the ICF 
period.The RCV1 and ijcnn1 dataset are tested on my cluster. The result is not 
so well. 

Original comment by [email protected] on 9 May 2008 at 10:30

from psvm.

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