Great news for this project!
https://www.amd.com/en/corporate/hpc-fund
AMD is going to donate computing systems or cloud-based computing capacity as a part of the second round of its COVID-19 HPC Fund initiative.
University of Trento, with the project we are supporting here, Gene@Home, is involved:

“The computational resources that AMD is providing will be inserted in our on-going gene@home project that aims to discover the causal relationships between the expression of genes. In particular, we plan to speed-up specific inquiries about genes interacting with SARS-CoV-2 in collaboration with the medical researchers and students in the Laboratory of Biological Data Mining. The AMD initiative is very timely for us and we expect that it will also push us forward in making further analysis methods feasible“ commented Enrico Blanzieri, professor, Department of Information Engineering and Computer Science, University of Trento.

- Enrico Blanzieri, professor, Department of Information Engineering and Computer Science, University of Trento

Today the number of "tasks ready to send" is 0... will you get also a new server from AMD?

Nice!

Yes, an update on overall project status, this AMD donation, COVID-19 work we did several months ago, etc, would be very nice.
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I am from Italy too and Universities in my country are going to re-open next week, so perhaps we will have an update soon :)

When I get older losing my hair
Many years from now
Will you still be sending me a Valentine
Birthday greetings bottle of wine
If I'd been out till quarter to three
Would you lock the door
Will you still need me, will you still feed me
When I'm sixty-four
Well 64 was a while back for me but I hope you'll still need us too.
Congratulations on the award!!!
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If your new computational resources are sufficient, don't feel the need to "make work" to keep crunchers happy, I have several "silent" projects on my machines, every now and then, one of them pushes a couple of weeks work, then goes silent again. Remember, the crunchers are trying to help you, they should never be a burden.
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Wave upon wave of demented avengers march cheerfully out of obscurity into the dream.

Thank you very much for this update.

Looking forward to reading those papers and congratulations on the AMD award.
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Great accomplishment! Also looking forward to the mentioned papers!

If your new computational resources are sufficient, don't feel the need to "make work" to keep crunchers happy, I have several "silent" projects on my machines, every now and then, one of them pushes a couple of weeks work, then goes silent again. Remember, the crunchers are trying to help you, they should never be a burden.

The AMD grant is an important temporary boost to our computational resources that will hopefully help us to explore new scientific frontiers. The gene@home project doesn't have a deadline. Our algorithms are very "generic", they can easily be applied to other organisms, other datasets (differently built) of the same organism, not only in the biological field, they can be useful whenever you have a lot of variables, each one with different experimental values and you need to find causal relationships among them. The algorithm itself could also be improved, others may be added.
We will continue to move on, with your help.

The grant will give us access, for one year, to two AMD computational nodes, each one equipped with a AMD Epyc "Rome" and 8 AMD Radeon Instinctâ„¢ MI50 Accelerators.

Mmm, smell like an OpenCl client.... :-P

OpenCL, there was someone working on that but the last update was in April.


http://gene.disi.unitn.it/test/forum_thread.php?id=269&postid=1774#1774
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Well, those AMD Radeon Instinct accelerators are real compute beasts! Those 8 will be doing more combined than the rest of us :) That should be a incredible speedup in WU turnover.

The dataset we are using right now is very big, a floating point matrix 87554x1829, it's size on the hard disk is ~0.5Gb and contains, for many genes, different isoforms/transcripts. The computational time for an algorithm's iteration, because of its 'complexity', is longer than the previous experiments.

Any single gene expansion is packed up into 294 workunits. Any workunit you receive has a name like this: 142041_Hs_T155402-MAP1B_wu-(1 to 294), a counter, Hs, an internal T code, a mnemonic for the gene/isoform. The T code is just a shortcut for the gene coordinates, for example T155402 is chr5:71403265..71403276,+

still no test app for amd cards have many 7970 witch wait for app... realy i think there is not development,becouse not updating abotu booth, HPC and also covid gpu app for us-volunters
also that "amd 19 hpc" still not running..
what they waiting for?
or development for covid app i slowed with covid..)) they will make app after covid,,,lol

There is no GPU app available at TN-Grid.
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There is no GPU app available at TN-Grid.

Considering the original announcement of the experiment back own 2018, if I am not mistaken the dataset is a floating point matrix. Not knowing exactly what precision is needed for those computations (F16/32/64 precision), with 8 x Radeon Instinct MI 50 accelerator compute units, the peak compute capability at F16 would be 212 TFLOPs, the min at F64 at 52.8 TFLOPs. (Data according to https://www.amd.com/en/products/professional-graphics/instinct-mi50-32gb)

As of today (09/30) on the server page:
16771.51 GFLOPs of all volunteers which translates to ~16.8 TFLOPs.

The ratio by which AMD's sponsored accelerators surpass the crunchers' current computing power is a whopping ~3.1 x (at the lower F64 end).

Hope there is no flaw in my quick calculations.... If this were true anyway, that would be awesome for TN-Grid!!

They dont want to.
Server cant really produce enough WUs for more users