2. Even if someone will overtake me on the toplist he couldn't take away that 9 years while I was on the 2nd place.
3. This "competition" of the volunteers is good for the project, because in reality this is cooperation.

Zoltan, I'm in awe of the fact that you recognized a worthy cause and have stuck to it for so long. I hope we can compete for many years to come. I read everything written in these forums and make notes. E.g., SWAN_SYNC seems to work well on my Win7 rigs. (I would post more but I have a very hard time communicating with this website from the States. It's taken over 50 tries to post this.)

I buy GPUs for GPUGRID purposes only, and from the pace of the app development here I've learned that I should not buy new generation GPUs before the GPUGRID app supports it.
But I'll definitely buy a GTX 2080Ti if I can use it for GPUGRID.
I think that the GPUGRID staff is aware that the project is loosing computing power gradually, as the (non-GPUGRID enthusiast) volunteers are upgrading their GPUs. Believe me, that I (and AURUM too) can't replace a 100 other volunteers with RTX 2080 Tis.

I'm a bit lost here, I think you're saying that if someone gets a 2080 Ti then they'll go elsewhere because GPUgrid doesn't talk to 2080s yet. But if they're a GPUgrid enthusiast they'd wait until 2080s can run GPUgrid WUs before getting one.
I also track the performance of GPUs as a way to judge their relative price. I got most of my GPUs on FleaBay at nice discounts. This is the data I track:
https://docs.google.com/spreadsheets/d/1v5gXral3BcFOoXs5n1M6l_Uo3pZpQYogn6gVlxRPnz0/edit#gid=0
https://docs.google.com/spreadsheets/d/1vcVoSVtamcoGj5sFfvKF_XlvuviWWveJIg_iZ8U2bf0/pub?output=html

Right now I'd say buy an EVGA 1070 Ti for under $425 (including shipping), an EVGA 1080 for $350, or an EVGA 1080 Ti for under $600 versus $1,000 for the bottom bin EVGA 2080 Ti. But I expect the price of the 2080 Ti will come down while we wait for the code to catch up.

Then we should arrange a little fund raising campaign for the GPUGRID project to be able to hire a CUDA programmer who'll update the application.

I'd like to see some financial support for those of us that provide client support services for all distributed computing projects. It used to be that CURE, FLDC & GRC were worth more and we could sell them to cover electricity. Today they need to be 5x to 10x higher to play the electric bill.

It appears that Nvidia will offer some new cards (at least at the low end) without ray tracing. Maybe that will alleviate some of the compatibility problems? I would wait in any case to see though; that is good advice.
https://www.tomshardware.com/news/nvidia-geforce-gtx-2050-gtx-1150-specs,38291.html

Yes, it does take a long time to post here from the U.S., which is not unusual.

...Turing has not improved much in regard to power efficiency compared to Pascal. Nvidia saved some GPU space by the shrink on one hand but used that saving for introduction of new Raytracing cores on the other hand.

The Folding@home fans say PPD/Watt went up from 4.8 for a 1080 Ti to 6.7 for a 2080 Ti. Not sure if comparing F@H to GPUgrid is apples and oranges.

I would love to see HCF1 protein folding and interaction simulations to help my little boy

I'd like to learn more about that. Is there a thread on this topic???

I started following some of the links they've posted. Is this the repository you asked about?
https://github.com/acellera/htmd
From http://www.compscience.org/

Yes, the github repository is the one I was looking for. That is where our code for the apps reside. It is open-source software as required by the GPL license. The version we use is not the commercial pro version.

Now to find that snippet of code that produces the error.

[Edit] I'm not finding that text in the code base. It must be coming in from outside through a call to another module. Perhaps the conda environment which the app uses?

It appears that Nvidia will offer some new cards (at least at the low end) without ray tracing. Maybe that will alleviate some of the compatibility problems?

I don't think so. As far as we the problem is not missing compatibility, but missing validation. And the new cards without RT cores are rumoared to also have Turing shader cores, so the new "CUDA compute capability" - which is tested for in the GPU-Grid code - also applies to them. Otherwise they'd simply be new Pascals with GDDR6, which wouldn't make sense for nVidia.

@Keith & Aurum: so there is a repository. Interesting! I don't have the knowledge nor time to dig into this, though :/

MrS

---

Scanning for our furry friends since Jan 2002

I'm slowly getting to know how to probe github repositories. I've found the code I need to alter in the work_fetch.cpp module for the BOINC client for my older client.

I am waiting on the master code base changes for the fix I need to use the <gpu_exclude> and <max_concurrent> statements at the same time. I use the <gpu_exclude> for GPUGrid and Einstein to keep the RTX2080 card off those projects for now.

Richard and David are working on that bug that I started on the BOINC github repository.

It is going to be up to me to figure out how to compile the client for Linux.

Richard says the new client will be automatically generated for Windows by the appveyor application once they submit the bug fix and the request is pulled into master. That is pretty cool. One of the benefits of running Windows I guess.

I would love to see HCF1 protein folding and interaction simulations to help my little boy

I'd like to learn more about that. Is there a thread on this topic???

Thanks for asking... no, not yet. My little son has a single point missense mutation in the basic region of HCF1 and nobody can tell you what this HUGE protein is supposed to do there. From the papers it seems that HCF1 is some kind of control protein in the cell cycle and for gene expression in combination with many others like SIN3A ... but most of it is not yet understood or investigated. For this kind of science it seems that we still are decades away in terms of computing power :(

---

I would love to see HCF1 protein folding and interaction simulations to help my little boy... someday.

One more idea to solve the problems of having low funds at the GPUGRID institute for additional researchers and (therefore) lack of tasks (which has been improved recently).

When there are no jobs available, we could install a "bridge" to redirect the GPUGRID crunching power to CureCoin mining in support of the institute. The earnings of this mining shall be spent for additional headcounts, more researchers or CUDA programmers. As long as science prevails, it should be a good cause.

---

I would love to see HCF1 protein folding and interaction simulations to help my little boy... someday.

I started following some of the links they've posted. Is this the repository you asked about?
https://github.com/acellera/htmd
From http://www.compscience.org/

The present GPUGrid (GPU) app is acemd2. We're waiting for the acemd3 to be made available for GPUGrid. I think that acemd3 supports the latest NVidia cards, as it is based on OpenMM. I think that HTMD is CPU only.
https://software.acellera.com/docs/latest/index.html

JoergF wrote:

When there are no jobs available, we could install a "bridge" to redirect the GPUGRID crunching power to CureCoin mining in support of the institute. The earnings of this mining shall be spent for additional headcounts, more researchers or CUDA programmers. As long as science prevails, it should be a good cause.

Aurum wrote:

I'd like to see some financial support for those of us that provide client support services for all distributed computing projects. It used to be that CURE, FLDC & GRC were worth more and we could sell them to cover electricity. Today they need to be 5x to 10x higher to play the electric bill.

I didn't check it, but I think that at the moment it's better (more green anyway) to send the donation directly in "real world" currencies than in "virtual" coins, as the electricity used for generating these costs more. But I'm aware that this old fashioned way of donation is less appealing for crunchers like us. There was an attempt by GPUGrid to do that (also to involve AMD card owners in this project) called donate@home. It didn't work back then. Since then I came to the conclusion (by understanding the way the late BitcoinUtopia project worked; it was similar to donate@home btw) that it's immoral to give (actually sell) BOINC credits for virtual (or real world) coins. GRidCoin and CureCoin does the opposite, so it's ok, but I don't think that a project's funding can depend on exchange rate booms, as it's like lottery. That's why I stick to:Retvari Zoltan wrote:

Then we should arrange a little fund raising campaign for the GPUGRID project to be able to hire a CUDA programmer who'll update the application.

Zoltan, I really appreciate your proposal. However I think we must take a couple of organizational things into consideration as well. Some time ago, I have made a suggestion relative to students getting familiar with this kind of science. The idea was to provide GPUGRID computing power for laboratory tutorials, which eventually lead to PhD, diploma or project works to take a little pressure off the GPUGRID researchers.

But as Stefan pointed out, it apparently is not so easy to catch interest in this matter, train the students and get valuable results in a short time. See this post/topic:

http://www.gpugrid.net/forum_thread.php?id=4443&nowrap=true#46311

So I understand the institute might rather be interested in hiring additional researchers at fixed salary which requires a permanent flow of money. Unfortunately a single fund raising campaign would not do that. So I was trying to think outside the box and find some permanent income for them, although there will be fluctuations, as you wrote.

PS: why did the BitcoinUtopia project fail? The underlying idea doesn't sound so bad.

---

I would love to see HCF1 protein folding and interaction simulations to help my little boy... someday.

I was thinking that these guys really seem to know what they're doing. There must be labs that need a steady diet of molecular simulations but don't have the resources to set up the code and servers. Could GDF provide this service to other researchers for a fee??? It would increase the supply of projects & WUs to "Feed the Beast" as the OpenZika folks say.

I thought about submitting a proposal to The Gates Foundation but they only accept them from non-profit orgs like the @CureCoin_Team. Is Gridcoin Network a non-profit org? Sue Hellmann MD PhD (my alma mater) used to run a biotech so she knows the value of molecular simulations.

I dream of having a solar-powered DC Client Center.

Universities are non-profit by definition. They may offer their services to customers, but will reinvest the money earned directly to aid their non-profit goals.

MrS

---

Scanning for our furry friends since Jan 2002

I started following some of the links they've posted. Is this the repository you asked about?
https://github.com/acellera/htmd
From http://www.compscience.org/

The present GPUGrid (GPU) app is acemd2. We're waiting for the acemd3 to be made available for GPUGrid. I think that acemd3 supports the latest NVidia cards, as it is based on OpenMM. I think that HTMD is CPU only.
https://software.acellera.com/docs/latest/index.html

Thanks for that link Zoltan. I think you are correct in that we will need to wait for the acemd3 application to be released.

Also I think some of the installation instructions I read in those docs reinforce my belief that the conda environment is probably the one that is causing the error outputs in stderr.txt.

Universities are non-profit by definition. They may offer their services to customers, but will reinvest the money earned directly to aid their non-profit goals. MrS

The foundation awards the majority of its grants to U.S. 501(c)(3) organizations and other tax-exempt organizations identified by our staff. (Tax status definitions) (Glossary of terms)

https://www.gatesfoundation.org/How-We-Work/General-Information/Grant-Opportunities

The only passage about university I found is

Foreign Government
Your organization is a political subdivision, agency or instrumentality of a foreign national, state or local government (e.g., foreign public university, foreign ministry of health or education).

... does that mean thumbs up or down?

MrS

---

Scanning for our furry friends since Jan 2002

Thanks Penguin
I will say the RTX run PG and Collatz Really Well.
We still have 3 or 4 BOINC Projects that are not yet supporting RTX but in Time I hope they do.

We will support RTX. Next year I will try to find a better solution for gpugrid.
At the moment some people in the lab are using it but nobody is really responsible for it or developing it. Ideally we would need somebody with very good programming skills in C/C++ and knowledge of CUDA, IT admin and high performance computing.

gdf

Does this project use double precision on a GPU...?

No, it doesn't.