F@H vs BOINC & Rosetta@home ; using GPU
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F@H vs BOINC & Rosetta@home ; using GPU
Trying to donate some computer time to the COVID-19 calculations, but I have some questions, both specific to that and about folding in general:
1) Since there are different folding groups, does that mean there's overlap and therefore wasted resources in doing calculations?
2) In trying to ascertain the differences between the three, I've seen comments about how F@H isn't open, and therefore you can't be sure what your computer is actually doing (one comment even suggested you may simply be mining cryptocurrency). While I doubt Stanford would be involved in deceit like that, is there any assurance that you're actually doing what it says you are?
3) I've seen some people recommend using F@H with GPU and one of the others with CPU, since they're CPU-only. Is there any reason to do this vs just using F@H for both?
4) I have an i7-7820x, which is a very powerful CPU, and a GTX 770, which is a somewhat older GPU. I would have thought the i7 would be much faster, but looking around I'm suspecting that's probably not actually the case, and in fact quite the opposite. Is there a way to tell how the two would compare -- i.e. an estimate of how much work each could do per day, not to mention per watt -- and how do I set it to use the GPU? It shows as a slot and says ready, but I can't figure out how to get it to do anything. The status says "Download" if that matters.
5) Is there any way to set it to medium power when the computer is in use and full power when idle?
Edited to remove a couple questions I figured out.
1) Since there are different folding groups, does that mean there's overlap and therefore wasted resources in doing calculations?
2) In trying to ascertain the differences between the three, I've seen comments about how F@H isn't open, and therefore you can't be sure what your computer is actually doing (one comment even suggested you may simply be mining cryptocurrency). While I doubt Stanford would be involved in deceit like that, is there any assurance that you're actually doing what it says you are?
3) I've seen some people recommend using F@H with GPU and one of the others with CPU, since they're CPU-only. Is there any reason to do this vs just using F@H for both?
4) I have an i7-7820x, which is a very powerful CPU, and a GTX 770, which is a somewhat older GPU. I would have thought the i7 would be much faster, but looking around I'm suspecting that's probably not actually the case, and in fact quite the opposite. Is there a way to tell how the two would compare -- i.e. an estimate of how much work each could do per day, not to mention per watt -- and how do I set it to use the GPU? It shows as a slot and says ready, but I can't figure out how to get it to do anything. The status says "Download" if that matters.
5) Is there any way to set it to medium power when the computer is in use and full power when idle?
Edited to remove a couple questions I figured out.
Re: F@H vs BOINC & Rosetta@home ; using GPU
Maybe? There might be different groups out there doing the same general thing, but it would be a heck of a coincidence if they were doing exactly the same thing.vertigo wrote:1) Since there are different folding groups, does that mean there's overlap and therefore wasted resources in doing calculations?
Here's a list of research results produced by Folding@Home. Hundreds of papers. The people who think it's a front for cryptocurrency mining are probably the same paranoid jackasses who think Corona virus is all a hoax.2) In trying to ascertain the differences between the three, I've seen comments about how F@H isn't open, and therefore you can't be sure what your computer is actually doing (one comment even suggested you may simply be mining cryptocurrency). While I doubt Stanford would be involved in deceit like that, is there any assurance that you're actually doing what it says you are?
Some folks were recommending splitting things up that way due to the shortage of Folding@Home work units; by running two different types of distributed computing you increased the chances that your computer would be doing something. It's a little early to tell, but I'm on track to get over 3 million points today; it'll be the first time in over two weeks. So they may be turning the corner on the shortage problem. But if you want to do that, go for it.3) I've seen some people recommend using F@H with GPU and one of the others with CPU, since they're CPU-only. Is there any reason to do this vs just using F@H for both?
GPUs earn more points than CPUs, but they do different kinds of work. I have 4 GPU slots & 3 CPU slots, and I'd say 95% of my points are from the GPUs. But I still run the CPU slots - they do some things that the GPUs can't. As for points per watt, newer hardware does better on power efficiency than older hardware. If electricity costs are a significant concern for you, it's worth comparing the costs of running an old card vs a new one. I recently replaced a GTX970 with a GTX1660 Super because in 2 years the savings in electricity would pay for the card and it would do twice as much work.4) I have an i7-7820x, which is a very powerful CPU, and a GTX 770, which is a somewhat older GPU. I would have thought the i7 would be much faster, but looking around I'm suspecting that's probably not actually the case, and in fact quite the opposite. Is there a way to tell how the two would compare -- i.e. an estimate of how much work each could do per day, not to mention per watt -- and how do I set it to use the GPU? It shows as a slot and says ready, but I can't figure out how to get it to do anything. The status says "Download" if that matters.
Automatically? Not that I'm aware of.5) Is there any way to set it to medium power when the computer is in use and full power when idle?
Last edited by jonault on Tue Mar 31, 2020 4:29 am, edited 2 times in total.
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Re: F@H vs BOINC & Rosetta@home ; using GPU
1) Since there are different folding groups, does that mean there's overlap and therefore wasted resources in doing calculations?
I am going to assume you meant Folding@Home (F@H) folders/teams.
There is no overlap in the Work Units (WUs) sent to each folder. Every project is split into WUs that is easier for folders to compute. Each of those WUs.
2) In trying to ascertain the differences between the three, I've seen comments about how F@H isn't open, and therefore you can't be sure what your computer is actually doing (one comment even suggested you may simply be mining cryptocurrency). While I doubt Stanford would be involved in deceit like that, is there any assurance that you're actually doing what it says you are?
BOINC = Berkeley Open Infrastructure for Network Computing. It is a software that host other crowd-sourced computing projects, e.g. SETI@Home, DENIS@Home, World Community Grid etc.
Difference between Rosetta & F@H is explained by one of F@H scientist here: https://www.reddit.com/r/pcmasterrace/c ... dium=web2x
Cyptocurrency is not endorsed by F@H. Read here: https://foldingathome.org/2019/01/14/fo ... urrencies/
Doubt a whole bunch of scientists and universities will use a ruse to get volunteers to mine for them and tarnishing their work and reputations.
3) I've seen some people recommend using F@H with GPU and one of the others with CPU, since they're CPU-only. Is there any reason to do this vs just using F@H for both?
Not sure. Maybe the COVID19 outbreak, there weren't many CPU WUs so folders direct their CPUs to other projects.
4) I have an i7-7820x, which is a very powerful CPU, and a GTX 770, which is a somewhat older GPU. I would have thought the i7 would be much faster, but looking around I'm suspecting that's probably not actually the case, and in fact quite the opposite. Is there a way to tell how the two would compare -- i.e. an estimate of how much work each could do per day, not to mention per watt -- and how do I set it to use the GPU? It shows as a slot and says ready, but I can't figure out how to get it to do anything. The status says "Download" if that matters.
GPU is will compute much faster compared to CPU assuming the WUs is set up for both. (Certain WUs are CPU only because of the way the simulation is designed to run.)
A very simplified way to look at is 7820x has 8c 8t but GTX 770 has 1536 compute units. Much larger.
But I recalled reading earlier that older cards do not have double precision and it cannot run newer WUs. Not sure if it applied to GTX 770.
5) Is there any way to set it to medium power when the computer is in use and full power when idle?
Can't help on this. Mine is 100%
I am going to assume you meant Folding@Home (F@H) folders/teams.
There is no overlap in the Work Units (WUs) sent to each folder. Every project is split into WUs that is easier for folders to compute. Each of those WUs.
2) In trying to ascertain the differences between the three, I've seen comments about how F@H isn't open, and therefore you can't be sure what your computer is actually doing (one comment even suggested you may simply be mining cryptocurrency). While I doubt Stanford would be involved in deceit like that, is there any assurance that you're actually doing what it says you are?
BOINC = Berkeley Open Infrastructure for Network Computing. It is a software that host other crowd-sourced computing projects, e.g. SETI@Home, DENIS@Home, World Community Grid etc.
Difference between Rosetta & F@H is explained by one of F@H scientist here: https://www.reddit.com/r/pcmasterrace/c ... dium=web2x
Cyptocurrency is not endorsed by F@H. Read here: https://foldingathome.org/2019/01/14/fo ... urrencies/
Doubt a whole bunch of scientists and universities will use a ruse to get volunteers to mine for them and tarnishing their work and reputations.
3) I've seen some people recommend using F@H with GPU and one of the others with CPU, since they're CPU-only. Is there any reason to do this vs just using F@H for both?
Not sure. Maybe the COVID19 outbreak, there weren't many CPU WUs so folders direct their CPUs to other projects.
4) I have an i7-7820x, which is a very powerful CPU, and a GTX 770, which is a somewhat older GPU. I would have thought the i7 would be much faster, but looking around I'm suspecting that's probably not actually the case, and in fact quite the opposite. Is there a way to tell how the two would compare -- i.e. an estimate of how much work each could do per day, not to mention per watt -- and how do I set it to use the GPU? It shows as a slot and says ready, but I can't figure out how to get it to do anything. The status says "Download" if that matters.
GPU is will compute much faster compared to CPU assuming the WUs is set up for both. (Certain WUs are CPU only because of the way the simulation is designed to run.)
A very simplified way to look at is 7820x has 8c 8t but GTX 770 has 1536 compute units. Much larger.
But I recalled reading earlier that older cards do not have double precision and it cannot run newer WUs. Not sure if it applied to GTX 770.
5) Is there any way to set it to medium power when the computer is in use and full power when idle?
Can't help on this. Mine is 100%
Re: F@H vs BOINC & Rosetta@home ; using GPU
As for your GPU status being stuck on "Download", post your log file and we can see if you have a configuration problem interfering with downloading a work unit.
Re: F@H vs BOINC & Rosetta@home ; using GPU
Thanks for the answers, makes sense about splitting the work due to workload shortages.
So it looks like where I stand right now is that while I'd like to help, it seems wasteful to use the CPU when the GPU would be (much?) more efficient, but I don't know how to get it to use the GPU.
I meant distributed computing groups, i.e. might people be doing calculations for F@H that other people are doing for BOINC or Rosetta, therefore being wasteful. IOW, I was trying to figure out if both groups are doing the same work with different software, but AFAICT based on what I've read, including one of your links, it seems not. Apparently F@H does a much finer, step-by-step analysis, whereas Rosetta simply makes a bunch of assumptions to evaluate things on a larger scale. So I guess it just depends on which approach is "better," if either is, since it's likely they each have their pros and cons and each contribute in their own way.ToeBlister wrote:I am going to assume you meant Folding@Home (F@H) folders/teams.
There is no overlap in the Work Units (WUs) sent to each folder. Every project is split into WUs that is easier for folders to compute. Each of those WUs.
Yeah, I understand the concept, but there has to be a balance point somewhere, where despite the lower number of cores, the amount of work done by each core is greater/faster than that done by the GPU cores, similar to a slower frequency CPU with higher IPC being faster than one running at a higher frequency but with lower IPC. It would be nice to have some sort of benchmark to be able to determine the difference. As for whether the 770 falls into that category you mentioned, I would think the software would say it's not compatible, instead of showing the status as "Ready." It would also be nice if there was a list of supported GPUs.ToeBlister wrote:A very simplified way to look at is 7820x has 8c 8t but GTX 770 has 1536 compute units. Much larger.
But I recalled reading earlier that older cards do not have double precision and it cannot run newer WUs. Not sure if it applied to GTX 770.
So it looks like where I stand right now is that while I'd like to help, it seems wasteful to use the CPU when the GPU would be (much?) more efficient, but I don't know how to get it to use the GPU.
Re: F@H vs BOINC & Rosetta@home ; using GPU
Looks like it's trying but there's no work for the GPU?
Code: Select all
01:08:47:Saving configuration to config.xml
01:08:47:<config>
01:08:47: <!-- Folding Core -->
01:08:47: <checkpoint v='10'/>
01:08:47:
01:08:47: <!-- Network -->
01:08:47: <proxy v=':8080'/>
01:08:47:
01:08:47: <!-- Slot Control -->
01:08:47: <power v='full'/>
01:08:47:
01:08:47: <!-- Folding Slots -->
01:08:47: <slot id='0' type='CPU'/>
01:08:47: <slot id='1' type='GPU'/>
01:08:47:</config>
01:09:05:WU00:FS00:0xa7:Completed 40000 out of 500000 steps (8%)
01:09:06:Saving configuration to config.xml
01:09:06:<config>
01:09:06: <!-- Folding Core -->
01:09:06: <checkpoint v='10'/>
01:09:06:
01:09:06: <!-- Network -->
01:09:06: <proxy v=':8080'/>
01:09:06:
01:09:06: <!-- Slot Control -->
01:09:06: <power v='full'/>
01:09:06:
01:09:06: <!-- Folding Slots -->
01:09:06: <slot id='0' type='CPU'/>
01:09:06: <slot id='1' type='GPU'/>
01:09:06:</config>
01:09:11:ERROR:Receive error: 10053: An established connection was aborted by the software in your host machine.
01:09:27:ERROR:Receive error: 10053: An established connection was aborted by the software in your host machine.
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01:11:29:WARNING:WU01:FS01:Failed to get assignment from '18.218.241.186:80': No WUs available for this configuration
01:11:29:ERROR:WU01:FS01:Exception: Could not get an assignment
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01:18:20:WU01:FS01:Connecting to 18.218.241.186:80
01:18:20:WARNING:WU01:FS01:Failed to get assignment from '18.218.241.186:80': No WUs available for this configuration
01:18:20:ERROR:WU01:FS01:Exception: Could not get an assignment
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01:29:26:WU01:FS01:Connecting to 18.218.241.186:80
01:29:26:WARNING:WU01:FS01:Failed to get assignment from '18.218.241.186:80': No WUs available for this configuration
01:29:26:ERROR:WU01:FS01:Exception: Could not get an assignment
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01:47:22:WU01:FS01:Connecting to 65.254.110.245:8080
01:47:23:WARNING:WU01:FS01:Failed to get assignment from '65.254.110.245:8080': No WUs available for this configuration
01:47:23:WU01:FS01:Connecting to 18.218.241.186:80
01:47:23:WARNING:WU01:FS01:Failed to get assignment from '18.218.241.186:80': No WUs available for this configuration
01:47:23:ERROR:WU01:FS01:Exception: Could not get an assignment
01:47:58:WU00:FS00:0xa7:Completed 330000 out of 500000 steps (66%)
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02:11:00:WU02:FS00:Connecting to 65.254.110.245:8080
02:11:00:WARNING:WU02:FS00:Failed to get assignment from '65.254.110.245:8080': No WUs available for this configuration
02:11:00:WU02:FS00:Connecting to 18.218.241.186:80
02:11:00:WU02:FS00:Assigned to work server 155.247.164.214
02:11:00:WU02:FS00:Requesting new work unit for slot 00: RUNNING cpu:15 from 155.247.164.214
02:11:00:WU02:FS00:Connecting to 155.247.164.214:8080
02:11:01:WU02:FS00:Downloading 2.82MiB
02:11:02:WU02:FS00:Download complete
02:11:02:WU02:FS00:Received Unit: id:02 state:DOWNLOAD error:NO_ERROR project:14363 run:437 clone:3 gen:0 core:0xa7 unit:0x000000009bf7a4d65e7c86b150e894b4
02:11:43:WU00:FS00:0xa7:Completed 500000 out of 500000 steps (100%)
02:11:44:WU00:FS00:0xa7:Saving result file ..\logfile_01.txt
02:11:44:WU00:FS00:0xa7:Saving result file frame1.trr
02:11:44:WU00:FS00:0xa7:Saving result file frame1.xtc
02:11:44:WU00:FS00:0xa7:Saving result file md.log
02:11:44:WU00:FS00:0xa7:Saving result file science.log
02:11:44:WU00:FS00:0xa7:Folding@home Core Shutdown: FINISHED_UNIT
02:11:44:WU00:FS00:FahCore returned: FINISHED_UNIT (100 = 0x64)
02:11:44:WU00:FS00:Sending unit results: id:00 state:SEND error:NO_ERROR project:16401 run:64 clone:4 gen:1 core:0xa7 unit:0x0000000196880e6e5e814cbb6187e4a2
02:11:44:WU00:FS00:Uploading 1.43MiB to 150.136.14.110
02:11:44:WU00:FS00:Connecting to 150.136.14.110:8080
02:11:44:WU02:FS00:Starting
02:11:44:WU02:FS00:Running FahCore: "C:\Program Files (x86)\FAHClient/FAHCoreWrapper.exe" C:\Users\Steve\AppData\Roaming\FAHClient\cores/cores.foldingathome.org/v7/win/64bit/avx/Core_a7.fah/FahCore_a7.exe -dir 02 -suffix 01 -version 705 -lifeline 100516 -checkpoint 10 -np 15
02:11:44:WU02:FS00:Started FahCore on PID 183452
02:11:44:WU02:FS00:Core PID:51508
02:11:44:WU02:FS00:FahCore 0xa7 started
02:11:45:WU02:FS00:0xa7:*********************** Log Started 2020-03-31T02:11:44Z ***********************
02:11:45:WU02:FS00:0xa7:************************** Gromacs Folding@home Core ***************************
02:11:45:WU02:FS00:0xa7: Type: 0xa7
02:11:45:WU02:FS00:0xa7: Core: Gromacs
02:11:45:WU02:FS00:0xa7: Args: -dir 02 -suffix 01 -version 705 -lifeline 183452 -checkpoint 10 -np
02:11:45:WU02:FS00:0xa7: 15
02:11:45:WU02:FS00:0xa7:************************************ CBang *************************************
02:11:45:WU02:FS00:0xa7: Date: Oct 26 2019
02:11:45:WU02:FS00:0xa7: Time: 01:38:25
02:11:45:WU02:FS00:0xa7: Revision: c46a1a011a24143739ac7218c5a435f66777f62f
02:11:45:WU02:FS00:0xa7: Branch: master
02:11:45:WU02:FS00:0xa7: Compiler: Visual C++ 2008
02:11:45:WU02:FS00:0xa7: Options: /TP /nologo /EHa /wd4297 /wd4103 /Ox /MT
02:11:45:WU02:FS00:0xa7: Platform: win32 10
02:11:45:WU02:FS00:0xa7: Bits: 64
02:11:45:WU02:FS00:0xa7: Mode: Release
02:11:45:WU02:FS00:0xa7:************************************ System ************************************
02:11:45:WU02:FS00:0xa7: CPU: Intel(R) Core(TM) i7-7820X CPU @ 3.60GHz
02:11:45:WU02:FS00:0xa7: CPU ID: GenuineIntel Family 6 Model 85 Stepping 4
02:11:45:WU02:FS00:0xa7: CPUs: 16
02:11:45:WU02:FS00:0xa7: Memory: 63.71GiB
02:11:45:WU02:FS00:0xa7:Free Memory: 46.63GiB
02:11:45:WU02:FS00:0xa7: Threads: WINDOWS_THREADS
02:11:45:WU02:FS00:0xa7: OS Version: 6.2
02:11:45:WU02:FS00:0xa7:Has Battery: false
02:11:45:WU02:FS00:0xa7: On Battery: false
02:11:45:WU02:FS00:0xa7: UTC Offset: -4
02:11:45:WU02:FS00:0xa7: PID: 51508
02:11:45:WU02:FS00:0xa7: CWD: C:\Users\Steve\AppData\Roaming\FAHClient\work
02:11:45:WU02:FS00:0xa7:******************************** Build - libFAH ********************************
02:11:45:WU02:FS00:0xa7: Version: 0.0.18
02:11:45:WU02:FS00:0xa7: Author: Joseph Coffland <joseph@cauldrondevelopment.com>
02:11:45:WU02:FS00:0xa7: Copyright: 2019 foldingathome.org
02:11:45:WU02:FS00:0xa7: Homepage: https://foldingathome.org/
02:11:45:WU02:FS00:0xa7: Date: Oct 26 2019
02:11:45:WU02:FS00:0xa7: Time: 01:52:30
02:11:45:WU02:FS00:0xa7: Revision: c1e3513b1bc0c16013668f2173ee969e5995b38e
02:11:45:WU02:FS00:0xa7: Branch: master
02:11:45:WU02:FS00:0xa7: Compiler: Visual C++ 2008
02:11:45:WU02:FS00:0xa7: Options: /TP /nologo /EHa /wd4297 /wd4103 /Ox /MT
02:11:45:WU02:FS00:0xa7: Platform: win32 10
02:11:45:WU02:FS00:0xa7: Bits: 64
02:11:45:WU02:FS00:0xa7: Mode: Release
02:11:45:WU02:FS00:0xa7:************************************ Build *************************************
02:11:45:WU02:FS00:0xa7: SIMD: avx_256
02:11:45:WU02:FS00:0xa7:********************************************************************************
02:11:45:WU02:FS00:0xa7:Project: 14363 (Run 437, Clone 3, Gen 0)
02:11:45:WU02:FS00:0xa7:Unit: 0x000000009bf7a4d65e7c86b150e894b4
02:11:45:WU02:FS00:0xa7:Reading tar file core.xml
02:11:45:WU02:FS00:0xa7:Reading tar file frame0.tpr
02:11:45:WU02:FS00:0xa7:Digital signatures verified
02:11:45:WU02:FS00:0xa7:Calling: mdrun -s frame0.tpr -o frame0.trr -cpt 10 -nt 15
02:11:45:WU02:FS00:0xa7:Steps: first=0 total=250000
02:11:46:WU02:FS00:0xa7:Completed 1 out of 250000 steps (0%)
02:11:49:WU00:FS00:Upload complete
02:11:49:WU00:FS00:Server responded WORK_ACK (400)
02:11:49:WU00:FS00:Final credit estimate, 4580.00 points
02:11:49:WU00:FS00:Cleaning up
02:12:58:WU02:FS00:0xa7:Completed 2500 out of 250000 steps (1%)
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02:15:43:WU02:FS00:0xa7:Completed 7500 out of 250000 steps (3%)
02:16:25:WU01:FS01:Connecting to 65.254.110.245:8080
02:16:25:WARNING:WU01:FS01:Failed to get assignment from '65.254.110.245:8080': No WUs available for this configuration
02:16:25:WU01:FS01:Connecting to 18.218.241.186:80
02:16:25:WARNING:WU01:FS01:Failed to get assignment from '18.218.241.186:80': No WUs available for this configuration
02:16:25:ERROR:WU01:FS01:Exception: Could not get an assignment
02:17:00:WU02:FS00:0xa7:Completed 10000 out of 250000 steps (4%)
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02:29:10:FS00:Finishing
02:29:10:FS01:Finishing
02:30:17:WU02:FS00:0xa7:Completed 37500 out of 250000 steps (15%)
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03:03:21:WU02:FS00:0xa7:Completed 117500 out of 250000 steps (47%)
03:03:24:WU01:FS01:Connecting to 65.254.110.245:8080
03:03:24:WARNING:WU01:FS01:Failed to get assignment from '65.254.110.245:8080': No WUs available for this configuration
03:03:24:WU01:FS01:Connecting to 18.218.241.186:80
03:03:24:WARNING:WU01:FS01:Failed to get assignment from '18.218.241.186:80': No WUs available for this configuration
03:03:24:ERROR:WU01:FS01:Exception: Could not get an assignment
03:04:25:WU02:FS00:0xa7:Completed 120000 out of 250000 steps (48%)
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03:55:45:WU02:FS00:0xa7:Completed 250000 out of 250000 steps (100%)
03:55:46:WU02:FS00:0xa7:Saving result file ..\logfile_01.txt
03:55:46:WU02:FS00:0xa7:Saving result file dhdl.xvg
03:55:46:WU02:FS00:0xa7:Saving result file frame0.trr
03:55:46:WU02:FS00:0xa7:Saving result file md.log
03:55:46:WU02:FS00:0xa7:Saving result file pullf.xvg
03:55:46:WU02:FS00:0xa7:Saving result file pullx.xvg
03:55:46:WU02:FS00:0xa7:Saving result file science.log
03:55:46:WU02:FS00:0xa7:Saving result file traj_comp.xtc
03:55:46:WU02:FS00:0xa7:Folding@home Core Shutdown: FINISHED_UNIT
03:55:47:WU02:FS00:FahCore returned: FINISHED_UNIT (100 = 0x64)
03:55:47:WU02:FS00:Sending unit results: id:02 state:SEND error:NO_ERROR project:14363 run:437 clone:3 gen:0 core:0xa7 unit:0x000000009bf7a4d65e7c86b150e894b4
03:55:47:WU02:FS00:Uploading 6.47MiB to 155.247.164.214
03:55:47:WU02:FS00:Connecting to 155.247.164.214:8080
03:55:53:WU02:FS00:Upload 38.66%
03:55:59:WU02:FS00:Upload 92.80%
03:56:00:WU02:FS00:Upload complete
03:56:00:WU02:FS00:Server responded WORK_ACK (400)
03:56:00:WU02:FS00:Final credit estimate, 6105.00 points
03:56:00:WU02:FS00:Cleaning up
04:19:24:WU01:FS01:Connecting to 65.254.110.245:8080
04:19:25:WARNING:WU01:FS01:Failed to get assignment from '65.254.110.245:8080': No WUs available for this configuration
04:19:25:WU01:FS01:Connecting to 18.218.241.186:80
04:19:25:WARNING:WU01:FS01:Failed to get assignment from '18.218.241.186:80': No WUs available for this configuration
04:19:25:ERROR:WU01:FS01:Exception: Could not get an assignment
Re: F@H vs BOINC & Rosetta@home ; using GPU
Yeah, looks that way. The only potential issue might be the video drivers; make sure you're running drivers downloaded from NVIDIA, not the ones from Windows Update.
Re: F@H vs BOINC & Rosetta@home ; using GPU
Ok. Pretty sure they are from WU, so downloading Nvidia drivers now to try. Thanks!
-
- Posts: 3
- Joined: Mon Mar 30, 2020 5:28 pm
Re: F@H vs BOINC & Rosetta@home ; using GPU
Just to chime in - I've been wondering abour running BOINC and F@H at the same time. I'm sure there will be a heavy load on the system but I'm OK with that during idle time. I just don't want them choking one another for resources. It would be ideal if there were collaboration between the apps so that one would not attempt to process a WU if the other is crunching. They're not the same, but they don't need to compete.
-
- Posts: 1996
- Joined: Sun Mar 22, 2020 5:52 pm
- Hardware configuration: 1: 2x Xeon E5-2697v3@2.60GHz, 512GB DDR4 LRDIMM, SSD Raid, Win10 Ent 20H2, Quadro K420 1GB, FAH 7.6.21
2: Xeon E3-1505Mv5@2.80GHz, 32GB DDR4, NVME, Win10 Pro 20H2, Quadro M1000M 2GB, FAH 7.6.21 (actually have two of these)
3: i7-960@3.20GHz, 12GB DDR3, SSD, Win10 Pro 20H2, GTX 750Ti 2GB, GTX 1080Ti 11GB, FAH 7.6.21 - Location: UK
Re: F@H vs BOINC & Rosetta@home ; using GPU
I think I spotted that you are using 15cores in your cpu slot ... that may not be a factor in the waiting for a GPU download situation but if you search for "prime" or "large prime" you will should find a number of threads with detailed explanations of why this is not necessarily a good idea (I will own up to occasionally running 30cores which has the same potential issues) ... most wisdom seems to be to set the slot at 12cores - sometimes with a second 3core slot (if processor fast enough to turn those round within timeout - but if 15cores working fine for you with no errors ignore me
Added bonus of doing this may be that the are a number Projects pushing out of max 12core limited WUs.
Added bonus of doing this may be that the are a number Projects pushing out of max 12core limited WUs.
2x Xeon E5-2697v3, 512GB DDR4 LRDIMM, SSD Raid, W10-Ent, Quadro K420
Xeon E3-1505Mv5, 32GB DDR4, NVME, W10-Pro, Quadro M1000M
i7-960, 12GB DDR3, SSD, W10-Pro, GTX1080Ti
i9-10850K, 64GB DDR4, NVME, W11-Pro, RTX3070
(Green/Bold = Active)
Xeon E3-1505Mv5, 32GB DDR4, NVME, W10-Pro, Quadro M1000M
i7-960, 12GB DDR3, SSD, W10-Pro, GTX1080Ti
i9-10850K, 64GB DDR4, NVME, W11-Pro, RTX3070
(Green/Bold = Active)
Re: F@H vs BOINC & Rosetta@home ; using GPU
This is actually a very interesting question. I'm just a regular folder like yourself, but let me add my $0.02
First of all, FAH is screening thousands of molecules (which already exist) to test whether they have any effect on treating COVID-19 patients. They hope to find one which can be given to patients relatively quick once any effect is discovered.
Rosetta@Home is looking for antiviral proteins (You can also help by solving puzzles using Foldit) who bind to one of the Coronavirus proteins. FAH is simulating the folding process of COVID-19 proteins (like the spike protein) and are searching for any 'weaknesses' during this folding process. If such a weakness is found, new drugs could be made to treat patients. The difference with Rosetta is that Rosetta only works with the final structure of a protein.
FAH has done something similar for the Ebola virus: https://www.biorxiv.org/content/10.1101 ... 1.abstract
In the long term, the Rosetta@Home team hopes to create a universal Coronavirus vaccine (they're doing the same for a universal flu vaccine).
They're really both doing amazing things. And whether you're running FAH or RAH, you can always download Foldit and help create an antiviral protein.That way your contribution doubles!
Both teams answered a bunch of questions during an AMA on reddit. You should check them out.
First of all, FAH is screening thousands of molecules (which already exist) to test whether they have any effect on treating COVID-19 patients. They hope to find one which can be given to patients relatively quick once any effect is discovered.
Rosetta@Home is looking for antiviral proteins (You can also help by solving puzzles using Foldit) who bind to one of the Coronavirus proteins. FAH is simulating the folding process of COVID-19 proteins (like the spike protein) and are searching for any 'weaknesses' during this folding process. If such a weakness is found, new drugs could be made to treat patients. The difference with Rosetta is that Rosetta only works with the final structure of a protein.
FAH has done something similar for the Ebola virus: https://www.biorxiv.org/content/10.1101 ... 1.abstract
In the long term, the Rosetta@Home team hopes to create a universal Coronavirus vaccine (they're doing the same for a universal flu vaccine).
They're really both doing amazing things. And whether you're running FAH or RAH, you can always download Foldit and help create an antiviral protein.That way your contribution doubles!
Both teams answered a bunch of questions during an AMA on reddit. You should check them out.
Re: F@H vs BOINC & Rosetta@home ; using GPU
The recommended configuration is to run one program on the CPU & the other on the GPU so they don't interfere with each other. And under normal circumstances both programs would have work available 100% of the time so any "collaboration" to avoid running at the same time on the same processor would result in one of them not running at all. Better to just pick one & stick with it.CaptainStarbuck wrote:Just to chime in - I've been wondering abour running BOINC and F@H at the same time. I'm sure there will be a heavy load on the system but I'm OK with that during idle time. I just don't want them choking one another for resources. It would be ideal if there were collaboration between the apps so that one would not attempt to process a WU if the other is crunching. They're not the same, but they don't need to compete.
Re: F@H vs BOINC & Rosetta@home ; using GPU
It's set to choose the number of threads automatically, so I assume it's using what's most efficient.Neil-B wrote:I think I spotted that you are using 15cores in your cpu slot ... that may not be a factor in the waiting for a GPU download situation but if you search for "prime" or "large prime" you will should find a number of threads with detailed explanations of why this is not necessarily a good idea (I will own up to occasionally running 30cores which has the same potential issues) ... most wisdom seems to be to set the slot at 12cores - sometimes with a second 3core slot (if processor fast enough to turn those round within timeout - but if 15cores working fine for you with no errors ignore me
Added bonus of doing this may be that the are a number Projects pushing out of max 12core limited WUs.
I installed the driver from nvidia--which unfortunately also forced a reboot which I was not prepared for, so that sucked--and so far it doesn't seem to have fixed the problem. One other small issue with the program I found due to that, though, was that I had hit the finish button, so it stopped working after it finished the WU it was on, but when I restarted, it went back to work on a new WU. When paused, it doesn't do this, and so ideally the software should treat "finish" the same. IOW, when the program starts automatically with Windows, it should resume the previous state, i.e. only going to work if it was working when the computer was shut down or restarted.
Re: F@H vs BOINC & Rosetta@home ; using GPU
+1 to what jonault said. As the FAQ says, it's much better to finish a WU in less time than to finish two WUs in twice that time. So the same would apply for splitting work between the two folding programs. However, if you want to do this, just go through task manager and set the affinity for each process so they will only run on the cores/threads you designate. Another option, though not as good, would be to run them in VMs, where each VM only has access to a certain number of threads. And of course you could set the priority of one higher than the other, but that will cause the higher priority one to simply take up more CPU resources and choke the other one out, though it will allow the other one to step in and get to work if/when the higher priority one runs out of work to do.CaptainStarbuck wrote:Just to chime in - I've been wondering abour running BOINC and F@H at the same time. I'm sure there will be a heavy load on the system but I'm OK with that during idle time. I just don't want them choking one another for resources. It would be ideal if there were collaboration between the apps so that one would not attempt to process a WU if the other is crunching. They're not the same, but they don't need to compete.
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Re: F@H vs BOINC & Rosetta@home ; using GPU
The automatic setting simply takes the CPUs available and reduces this by one for each GPU slot (may be card) iirc … This may be legacy behaviour from days when high core counts were rare - but as I understand it the automated process doesn't take into account the "larger primes issue" and so can create slots that might not work particularly well … Hence why I mentioned it - there are a number of threads that explain this way better than I can - a search on large prime across the forum show quickly find you one and instructions on how to reconfigure the slots … but if not causing you issues at the moment then ignore this.
2x Xeon E5-2697v3, 512GB DDR4 LRDIMM, SSD Raid, W10-Ent, Quadro K420
Xeon E3-1505Mv5, 32GB DDR4, NVME, W10-Pro, Quadro M1000M
i7-960, 12GB DDR3, SSD, W10-Pro, GTX1080Ti
i9-10850K, 64GB DDR4, NVME, W11-Pro, RTX3070
(Green/Bold = Active)
Xeon E3-1505Mv5, 32GB DDR4, NVME, W10-Pro, Quadro M1000M
i7-960, 12GB DDR3, SSD, W10-Pro, GTX1080Ti
i9-10850K, 64GB DDR4, NVME, W11-Pro, RTX3070
(Green/Bold = Active)