Folding Forum

I get following error with latest HFM.NET install (new system install with no previous HFM.NET present):

Please verify that the .NET Framework v3.5 is installed.

im sorry harlem, i just re read my post.
i currently run windows 7pro 64 bit, and on it i am running vmware3.0, which is running a FAH Image for bigadvs, abit like a Notfread setup.

here is a link to the set up of the client http://www.evga.com/forums/tm.aspx?m=187308

i also fold the on another win7 pc which i currently monitor from my laptop running win7, i would like to know if i can (and how to) monitor the FAH image client from my laptop with HFM

Sure, set up folder sharing into the FAH work directory and use the network path, ie. \\computer-name\folder

My Samba setup guide for Ubuntu, that I linked previously, is what you need to do... if you're on Ubuntu or one of its other flavors. Otherwise, I'd look for a Samba setup guide specific to your Linux distro of choice.

Once you have Samba setup on your Linux box properly it's just a matter of inputting the UNC path, \\computer-name\folder, like Evaders said.

im not running any linux distros at all, if you have a quick look at the like i provided and read my last post u will see im not running any form of linux.

i am running a FAH linux image that loads straight to the vmware and starts to fold. please look and se it it is possable to monitor with HFM

Ok... so this is a pre-built Linux image for FAH. I'm with you.

It shows you right here, based on this screen shot, what you need to get this VM working with HFM.

http://i152.photobucket.com/albums/s164 ... ncut-2.jpg

thanks stupid me, i figured it out after i posted. i need to pay attention in the future lol. same as notfread monitoring.

is there anyone working on an android HFM app, would be cool if it could be used to monitor over the internet so while im at work a can see how my clients are getting on via my phone.

Hehe... I'm not getting into android development anytime soon. However, I use my Droid to monitor my clients daily. You need to setup the Web Generation feature. Sorry I don't have a really good set of instructions on how to do that, but it's pretty simple. You just need a public web server where HFM can upload the generated html files. Then you can check the status of your clients from wherever you are.

To have HFM upload the files to the server you'll need an FTP account. Then, in the target textbox you enter a URL like the following in lieu of a local/network folder path.

ftp://username:thepassword@webserver.com/foldername/

thanks harlam, but thats way above me, might have a look into it thou when i get back from my hols.

First I want to thank harlam357 for making this amazing program that is very simple to use and is able to present a lot of information in an easy-to-understand manner.
I have noticed some bugs that I am not sure if they will be fixed or not. If this has been covered already, sorry but my search didn't find that answers. Here is the list:

1) In the Benchmark Viewer, "Number of Frames Observed: X" and X never goes above 300 although I have completed 10+ WUs for the same Project. Hopefully this can be fixed in the newer versions.

2) The CPU Type is incorrect in reporting.

I do have a suggestion for the SMP Client as in the Queue, it states "SMP Cores" (it reports correctly 7) and then it states "Cores To Use" (reports 8) and it would make more sense to rename the latter to "Total Cores"

Thanks.

Hi PantherX,

Thanks for those kind words... I sincerely appreciate it.

1) The "Number of Frames Observed" is capped at 300 on purpose. What's that's telling you is, there are 300 frames considered in the average frame time. I have considered opening up a setting for the user to choose this value. But as you might expect a reasonable upper bound must be maintained.

2) The CPU Type is what is recorded by Stanford in the queue.dat file. It is not read directly by HFM through any other means. That particular piece of the UI is the Queue Viewer and it displays the data contained within the queue.dat file. I'm sure your Core 2 or Core i5/7 cpu is reporting as a Pentium II/III. In all fairness to Stanford, the "Core" generation of cpus are descendants of the PII/III generations. A lot of the same "markers" identifying the PII/III are still in place in the "Core" generation. So to Stanford that's what they look like.

Again, the nomenclature here was something I took from the maintainer of qd.c - http://linuxminded.xs4all.nl/?target=so ... -tools.plc - a gentleman here by the name of smoking2000. I agree that data may be better reported with a different name, like "Total Cores" or "Available Cores". I assume you're running with the -smp 7 flag?

You assumption is correct. Also thanks for the explanation.

harlam357 wrote:2) The CPU Type is what is recorded by Stanford in the queue.dat file. It is not read directly by HFM through any other means. That particular piece of the UI is the Queue Viewer and it displays the data contained within the queue.dat file. I'm sure your Core 2 or Core i5/7 cpu is reporting as a Pentium II/III. In all fairness to Stanford, the "Core" generation of cpus are descendants of the PII/III generations. A lot of the same "markers" identifying the PII/III are still in place in the "Core" generation. So to Stanford that's what they look like.

Again, the nomenclature here was something I took from the maintainer of qd.c - http://linuxminded.xs4all.nl/?target=so ... -tools.plc - a gentleman here by the name of smoking2000. I agree that data may be better reported with a different name, like "Total Cores" or "Available Cores". I assume you're running with the -smp 7 flag?

That nomenclature is not from Smoking2000, it's from Cosm.

Cosm is used by f@h, Dick Howell disected queue.dat for the most important parts and found the references to Cosm API. It's not the other way around, Dick/Smoking2000 did not come up with Cosm.

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Pande Group, Chemistry Department, Stanford University

Proteins are the basis of how biology gets things done. For this reason, we've sequenced the human genome -- the blueprint for all of the proteins in biology -- but how can we understand what these proteins do and how they work? One important step is to study how proteins self-assemble, or "fold." This is an extremely computationally intensive task, since proteins fold no slower than a 10 microseconds (10^-6 seconds), but we can only routinely simulate nanoseconds (10^-9 seconds).
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