Overall F@H Stats Graph?
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- Pande Group Member
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Re: Overall F@H Stats Graph?
PS We also now are keeping better track of the Fermi (and later) class of NV GPUs. We were under-reporting their FLOP count and that alone was what make a huge difference in the FLOPs reported.
Prof. Vijay Pande, PhD
Departments of Chemistry, Structural Biology, and Computer Science
Chair, Biophysics
Director, Folding@home Distributed Computing Project
Stanford University
Departments of Chemistry, Structural Biology, and Computer Science
Chair, Biophysics
Director, Folding@home Distributed Computing Project
Stanford University
Re: Overall F@H Stats Graph?
Glad to hear it is resolved.
Transparency and Accountability, the necessary foundation of any great endeavor!
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Re: Overall F@H Stats Graph?
PS blog post up
Prof. Vijay Pande, PhD
Departments of Chemistry, Structural Biology, and Computer Science
Chair, Biophysics
Director, Folding@home Distributed Computing Project
Stanford University
Departments of Chemistry, Structural Biology, and Computer Science
Chair, Biophysics
Director, Folding@home Distributed Computing Project
Stanford University
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Re: Overall F@H Stats Graph?
I updated the google spreadsheet, here: https://docs.google.com/spreadsheet/ccc ... sp=sharing I assumed that OS-X PowerPC is now finally EOL. Folding@Home computing power is increasing nicely. There's only 3 supercomputers on top500.org list that are capable of over 10 petaflops of sustained computing power.
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Re: Overall F@H Stats Graph?
Thanks. To continue your comparison, all of BOINC is at 8.697 petaFLOPS: http://boincstats.com/en/stats/-1/project/detailRisme wrote:I updated the google spreadsheet, here: https://docs.google.com/spreadsheet/ccc ... sp=sharing I assumed that OS-X PowerPC is now finally EOL. Folding@Home computing power is increasing nicely. There's only 3 supercomputers on top500.org list that are capable of over 10 petaflops of sustained computing power.
Edit: looks like the blog post has been changed and no longer compares F@h to the other supercomputers.
F@h is now the top computing platform on the planet and nothing unites people like a dedicated fight against a common enemy. This virus affects all of us. Lets end it together.
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Re: Overall F@H Stats Graph?
The problem with looking on BoincStats is, if you example looks on Einstein@home they've got roughly 490 GFLOPS according to BoincStats. But, if you looks on Einstein@home's own stats-pages (and even going by news-post on the front-page), Einstein@home has roughly 980 TFLOPS.Jesse_V wrote:Thanks. To continue your comparison, all of BOINC is at 8.697 petaFLOPS: http://boincstats.com/en/stats/-1/project/detail
Meaning, BoincStats reports 1/2 of what Einstein@home themselves reports and my guess is Einstein@home knows better how many FLOPS their application really produces.
If it's similar disrepancies with the other projects, BOINC is sitting nicely at roughly 17 PetaFLOPS.
If you're also going to make a "similar to 32-bit floating-point-operations on an i386-computer" like Folding@home is doing to come-up with their 12 PetaFLOPS-number, under BOINC you'll example need to multiply Milkyway@home's numbers with 8, 1st. the 2x disrepancy similar to Einstein@home, and when atleast 4x due to Milkyway demands double-precision GPU and Amd-cards has roughly 1/4 the double-precision compared to single-precision. For the Nvidia-cards you'll need to multiply with an even higher factor... If you do this, Milkyway alone has over 5 PetaFLOPS, while BoincStats reports "only" 642 TFLOPS.
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Re: Overall F@H Stats Graph?
Thanks Risto keeping the new chart updated. I made my own chart, appended your data to the old set, and then pulled in some supercomputer performance information from the Top500.org lists.
This was the result: https://commons.wikimedia.org/wiki/File ... Powers.png
I think the results are interesting, and I wonder how our numbers will change from here. We lost the first place position back in April 2011, come on, let's take it back!
This was the result: https://commons.wikimedia.org/wiki/File ... Powers.png
I think the results are interesting, and I wonder how our numbers will change from here. We lost the first place position back in April 2011, come on, let's take it back!
F@h is now the top computing platform on the planet and nothing unites people like a dedicated fight against a common enemy. This virus affects all of us. Lets end it together.
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Re: Overall F@H Stats Graph?
Have no fear, R2 is here, JIT is near, a new Cloud may appear.
How to provide enough information to get helpful support
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Re: Overall F@H Stats Graph?
As I'm sure you know FLOPS is not a well-defined measurement. Are DP operations and SP operations both a single operation? If the hardware can perform SQRT in a single operation, is that one operation or does it represent the equivalent of many x86 operations required to calculate the same value? Suppose some project (say Einstein@home, but it could be any) were able to re-code their software to achieve their computational objectives using Single Precision instead of Double Precision, they'd get much more work done due to the limitations of DP on current GPUs. Would that be an advantage or a disadvantage?
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Posting FAH's log:
How to provide enough info to get helpful support.
How to provide enough info to get helpful support.
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Re: Overall F@H Stats Graph?
You're right, there are problems here. One of them is that LINPACK isn't a realistic benchmark from what I've read. It scales very well to all available cores, does relatively simple mathematics, and isn't IO bound. Real-world programs may have all of these problems, or only some of them, depending on the problem at hand. Here, I simply reported the x86 FLOPS for FAH. For CPUs, native FLOPS is x86 FLOPS, but GPUs are a different story and we need to convert to an x86 equivalent so more accurate (not perfect) comparisons can be made. I'm not entirely certain how double-precision would change things, though despite the problems with FLOPS, I think this is about as accurate as one can get. FLOPS might not be the best measurement, but they certainly are widely-accepted and are relatively easy to understand.
F@h is now the top computing platform on the planet and nothing unites people like a dedicated fight against a common enemy. This virus affects all of us. Lets end it together.
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Re: Overall F@H Stats Graph?
I updated the googledoc with today's stats in a brand new worksheet for 2016 (duplicated from 2014). I'm not sure how Participation and Efficiency are calculated, so I left those blank.
https://docs.google.com/spreadsheets/d/ ... =156098615
https://docs.google.com/spreadsheets/d/ ... =156098615
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Re: Overall F@H Stats Graph?
Nice! How do you fill the table with data, is it automatically? I only see data for 09/08/2016.
Looks like PARTICIPATION shows
Active CPUs = Windows+MacOS+Linux
Active GPUs = ATI GPU+NVIDIA GPU+NVIDIA Fermi GPU
Looks like EFFICIENCY shows
x86 GFLOPS/Active processor = Total x86 TFLOPS / Total Active CPUs
I think the Efficiency would be more interesting if we had different entries for CPUs and GPUs like at participation.
Is my description understandable or should I put examples?
Looks like PARTICIPATION shows
Active CPUs = Windows+MacOS+Linux
Active GPUs = ATI GPU+NVIDIA GPU+NVIDIA Fermi GPU
Looks like EFFICIENCY shows
x86 GFLOPS/Active processor = Total x86 TFLOPS / Total Active CPUs
I think the Efficiency would be more interesting if we had different entries for CPUs and GPUs like at participation.
Is my description understandable or should I put examples?
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Re: Overall F@H Stats Graph?
I put a request on reddit how to access the "Client statistics by OS" as excel sheet to generate a graph over time
https://www.reddit.com/r/foldingathome/ ... _as_graph/
https://www.reddit.com/r/foldingathome/ ... _as_graph/
Re: Overall F@H Stats Graph?
what are R2 and JIT?7im wrote:Have no fear, R2 is here, JIT is near, a new Cloud may appear.
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Re: Overall F@H Stats Graph?
The memory brain cells for that are just as dead as this thread was. 3 years, really?bruce wrote:You got a recent response and you should be the one to explain what you said.7im wrote:Have no fear, R2 is here, JIT is near, a new Cloud may appear.
Probably about the same time as the new Star Wars movie was announced. There was talk of Just In Time core compiling to take advantage if certain processor features across various hardware types (never happened, but we see AVX support coming now). And cloud likely refered to the streaming client mentioned in the blog.
How to provide enough information to get helpful support
Tell me and I forget. Teach me and I remember. Involve me and I learn.
Tell me and I forget. Teach me and I remember. Involve me and I learn.