Pardiso in GPU

[Marcos_V_1]

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

[ShanmukhS_Intel]

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

[Marcos_V_1]

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

[Khang_N_Intel]

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

https://www.intel.com/content/www/us/en/develop/documentation/onemkl-developer-reference-c/top/sparse-solver-routines/onemkl-pardiso-parallel-direct-sparse-solver-iface/pardiso-iparm-parameter.html

Best regards,

Khang

[Khang_N_Intel]

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