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Hi Gennady, I was wondering if there are any plans to implement a GPU version of PARDISO.
Also, what is the strategy (if any) to make the SOLVE phase scale with openmp threads?
Thank you for your time and attention,
Marcos
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Hi Marcos Vanella,
Thank you for posting on Intel Communities.
We are working on your queries shared internally, We will get back to you soon with an update.
Best Regards,
Shanmukh.SS
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Thank you Shanmukh,
And thank you guys for the work you do. We have been using the PARDISO and cluster solvers for a while now to solve a discretized PDE, with very good results. Our factorized matrix does not change but we do several solves (forward-back substitution) sequentially in time as part of our time marching scheme. As this part of the scheme can take up to 50%+ of the total wall time, we are always interested in using the latest developments to speed it up.
Best Regards,
Marcos
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Hi Marcos,
Can you create a ticket about this request at:
https://supporttickets.intel.com/servicecenter?lang=en-US
As for the question about scaling the solving stage with OpenMP, you might want to try either:
1) Running Pardiso with many RHS
or
2) Running Pardiso with iparm[24] = 2
Best regards,
Khang
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Hi Marcos,
The request to implement Pardiso version for GPU has been submitted. We just don't know when this feature will be implemented.
Since I have already answered your questions, I am going to close this thread.
There will be no more communication on this thread.
Best regards,
Khang

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