New app update (acemd3)

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gFreezer

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Message 52827 - Posted: 9 Oct 2019, 16:26:04 UTC - in response to Message 52826.  


You could still inspect the file and confirm whether GPUGrid have deployed it properly. A local edit wouldn't be permanent, for the reasons you state, but an edit to a task that has downloaded but not yet started might last for long enough for you to observe and report back.

If the task isn't started yet, the files aren't in the "slots" directory yet. But suspending GPU, editing the file of the already started task and resuming GPU worked!

On Linux, setting priority to 5 achieves the desired result: The acemd3 process always has the exact priority defined in cc_config.xml. Now the question is whether this would actually increase the priority unwantedly on Windows...
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Richard Haselgrove

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Message 52828 - Posted: 9 Oct 2019, 17:53:40 UTC - in response to Message 52827.  

What figure did you find there, before you edited it?
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gFreezer

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Message 52830 - Posted: 9 Oct 2019, 20:05:15 UTC - in response to Message 52828.  

It was unset. I added the "priority" xml tag myself.
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Richard Haselgrove

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Message 52831 - Posted: 9 Oct 2019, 21:36:47 UTC - in response to Message 52830.  

It was unset. I added the "priority" xml tag myself.

OK, memo to project devs. I'd recommend value 2 for general use, rather than 5.
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Profile Retvari Zoltan
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Message 52840 - Posted: 12 Oct 2019, 22:23:41 UTC - in response to Message 52825.  

Well, when I played around with SWAN_SYNC about a year ago on Linux, there definitely was a small performance benefit, but it was so minimal that I decided it's not worth sacrificing half a CPU core for it for me.
It depends also on the GPU. High-end GPUs gain more (up to 30% on a GTX 1080Ti). To optimize the performance of the GPUGrid app, you should not over-commit the CPU feeding the GPU(s). That is one CPU task per CPU core. (on hyperthreaded CPUs you should reduce the number of CPU tasks down to 50%). You can achieve best GPUGrid performance (on high-end GPUs) if only one CPU task is running parallel the GPUGrid app (or none).

Is there any particular reason why the "short runs" give much less credit than the "long runs" for the same runtime?
Because they intended to be shorter than the "long run" workunits. The actual run time got mixed since then, some "long" workunits take about the same time to process as a "short" takes.

For the "TEST" work units, I figured that they give less credit because they are just tests. Is it possible to opt-out of test work units?
Yes. You could set your venues in your GPUGrid preferences not to receive "beta tasks" or you can deselect the entire ACEMD3 queue. But there are not so many beta and short tasks to even bother with this.
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Message 53074 - Posted: 23 Nov 2019, 15:23:09 UTC

I crunched a couple of the new tasks (New version of ACEMD v2.10 (cuda100))on my GTX1660Ti which is the new turing type and they processed and validated. Good that I can use this machine on GPUGrid now.

https://www.gpugrid.net/show_host_detail.php?hostid=517492
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Message boards : Number crunching : New app update (acemd3)

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