(I never wanted to update my Pascal based hosts from their 3xx driver. I am now glad I did so for SRBase after all; it'll now pay off for GPUGrid too.)Toni of gpugrid.net said:Dears, thanks for your patience.
I updated the acemd3 apps.
Also, I verified that there were very few results by apps from the old CUDA version, so I won't be re-deploying them. In other words, apps now require CUDA 10 (Linux) and CUDA 10.1 (Windows). In terms of drivers versions:
CUDA 10.1 (10.1.105) >= 418.39 for Windows
CUDA 10.0 (10.0.130) >= 410.48 for Linux
The project does have applications for Windows, Linux, and MacOS, but currently does not have any work available for Windows. It also limits tasks in progress to 2X the number of CPU cores, so no bunkering. But the server seems to be responsive and the admin is posting regular status updates.
I am on the new/current URL. The server status page said that it had no work available for Windows when I posted that message. They must have added more since then.
(source)On January 1 Eric Driver said:I just released the new app version for Linux Nvidia Cuda.
I tested it on 100 WUs and it averaged about 33% faster over the previous Cuda version.
I am now making these same improvements to the openCL versions. If all goes well, I should have new apps for Windows and AMD cards within a week.
Not able to attach a client either, although I was able to log in to the site with my very old account. It would be interesting to see a project be revived after many years of inactivity. Especially if they actually keep it active this time.
edit: I haven't done a lot of testing yet, but with about a dozen GPU tasks completed on a Quadro RTX 3000 (roughly equivalent to a GTX 1080ti), the tasks averaged 995 seconds run time and 648 credits. So about 0.68 credits per second.
There are tasks available for Van Der Waerden Numbers now, but I suspect they are just for testing and not doing any actual meaningful work yet, since they only take 2-3 seconds to complete. They are rewarding credits, though...Not able to attach a client either, although I was able to log in to the site with my very old account. It would be interesting to see a project be revived after many years of inactivity. Especially if they actually keep it active this time.
edit: On 1/18/2021 I am now able to attach a computer to the project. It still is not fully up and running, but does seem to be making progress.
AMD's own announcement sounded to me as if access to these resources was immediately, but:On September 16 2020 valterc said: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 Instinct™ MI50 Accelerators.
This will not solve our well known server problem (it would be too complicated to transfer the server to the new machine and come back to the orginal one after one year) but it will give us a tremendous boost to our in-house computational power, also giving us the opportunity to explore Deep Learning algorithms.
However, like so many other plans and ventures in 2020/ 2021, this thing is facing a delay:On October 10 2020 valterc said:AMD will grant us access in about a month.
Anyway, we will use them to try to develop a slightly modified version of our algorithm, suitable for gpu-style parallelization. Also we will use their specific deep learning power to help us better understand the whole thing (gene expansion, covid, causality etc).
(source)On December 12 2020 valterc said:The granting of the aforementioned resources has been delayed, don't know the reasons, I guess that they were actually building up a new computing center from scratch and had some problems. Anyway, they told us to wait until the beginning of January.
The new application version was released for Linux, but not yet for Windows. (apps.php)On July 1 Toni said:I deployed the new app, which now requires cuda 11.2 and hopefully support all the latest cards. Touching the cuda versions is always a nightmare in boinc scheduler so expect problems.
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