Very good. I wish more projects would do that.

MJH:

I am in agreement with your proposal.

In fact, the 343+ drivers have dropped support for many of the older GPUs, such that new driver installs will not install drivers for them. In reaction to reading their announcement, a couple months ago I replaced my aging GTS 240 with a 2nd GTX 660 Ti, so that I could continue to install the latest drivers in my milti-generational-GPU rig.

http://nvidia.custhelp.com/app/answers/detail/a_id/3473

This is good news indeed.
I think that crunching on pre-Kepler cards (GTX-2xx, GTX-4xx, GTX-5xx) is a waste of electricity.

I think that crunching on pre-Kepler cards (GTX-2xx, GTX-4xx, GTX-5xx) is a waste of electricity.

RZ,

In the stats I posted a wee while ago, you'll see Fermi era card still constitute 10-20% of our capacity. The lower end 2.1 cards aren't much good for anything other than acemdshort, however.

http://www.gpugrid.net/forum_thread.php?id=3864

Matt

Hi, Matt:

I understand the reason for this rationalization. At present I process GPUGrid tasks with two NVIDIA GeForce GTX 650 Ti (1024MB) GPUs and driver 334.89. I have no intention of spending any more on my PCs: can you please let me know when you will discontinue providing work for this GPU.

Thanks,

John

Hi,

With the arrival of Maxwell, we are now supporting 4 generations of hardware, and 6 separate builds of our application on 2 platforms.

This is starting to tax our resources, so some rationalisation is required. I therefore propose the following:

* Remove support for SM1.3
Geforce 200 series cards contribute rather less than 1% of our capacity and, furthermore, lack hardware features that we want to use in future development work.

* Discontinue CUDA 4.2
We need CUDA 6 to properly support the new Maxwell, so I'll be retiring the old CUDA 4.2 build. If you are still receiving version 4.2 WUs, please consider updating your driver 343 or above.

These changes will take effect from January 2015

Matt


[/quote]

I'm crunching on an NV Optimus notebook. The latest repository drivers running Gpugrid are 331.38 and does Cuda4.2. Official drivers have problems with Optimus. Seems time to switch to CPU projects is coming. Rosetta probably...

I agree with Skgiven and RZ.
Once GM204 Maxwell's driver support fully integrates filtering technologies support- Molecular programs like PyMOL/JyMOL will be able to view fragments(atoms) and residues (amino acids) like never before. Maxwell's are certainly helping/advancing science in many ways.

On a side note: mobile Maxwell were released, and have very curious core counts. A future GM206/desktopGTX960? GTX970m=1280c/10SMM/3GPC/80TMU/48ROP
(Future GTX960?) A GTX980m(1536core/96TMU/64ROPS) is 12SMM/3GPC rather 13/4GPC for desktop GTX970.
This is pure speculation on my part: I think NVidia is finding Maxwell GPC (4SMM/32TMU/16ROPS) is unable to disable SMM in similar fashion to SMX, due to the 32 core subsets with a separate warp. Unlike SMX monolith design where SMX shares all cores, SFU, LD/ST units with warp. Kelper SMX has (8 separate dispatch-->one Large crossbar-->separate [4] issue for a subset(32c) and [1] issue for 32SFU and [1]issue for 32LD/ST.) Maxwell breaks up dispatch into four pairs of two feeding a separate crossbar for separate issue to subset of 32c and issue for 8SFU,8LD/ST. (SMM= 4 issues for SFU/ 4 issues for LD/ST/ 4 issues for [4] 32 core subset.

GTX GF/W (by most efficient in series)
980 28.0
780Ti 20.2
690 18.74
560Ti 7.42
480 5.38
[/pre][/list]
Didn’t include the 750Ti (21.8) because it’s a Maxwell.

In terms of running costs, the GTX980 is 3.77 times more efficient than the GTX560Ti (the most efficient 900 series GPU vs the most efficient 500 series GPU). The 980 is even 40% more efficient than a GTX780Ti.

For those with a budget the running cost of a GTX970 (24.1) is 3.24 times more efficient than a GTX560Ti, and the 750Ti (21.8) is 2.93 times more efficient than a GTX560Ti.

For those with a budget the running cost of a GTX970 (24.1) is 3.24 times more efficient than a GTX560Ti, and the 750Ti (21.8) is 2.93 times more efficient than a GTX560Ti.

So it would be in the interest of most crunchers to stop using anything below the GTX600 range, and as Zoltan pointed out, worth encouraging. I suggest giving notice to drop support for 500's in ~6 months (March 2015).

GTX GF/W (by most efficient in series)
980 28.0
780Ti 20.2
690 18.74
560Ti 7.42
480 5.38
[/pre][/list]
Didn’t include the 750Ti (21.8) because it’s a Maxwell.

In terms of running costs, the GTX980 is 3.77 times more efficient than the GTX560Ti (the most efficient 900 series GPU vs the most efficient 500 series GPU). The 980 is even 40% more efficient than a GTX780Ti.

For those with a budget the running cost of a GTX970 (24.1) is 3.24 times more efficient than a GTX560Ti, and the 750Ti (21.8) is 2.93 times more efficient than a GTX560Ti.

Has anyone actually measured the power draw from various 970 and 980 cards while running GPUGrid? We know the 750Ti is running at about 60 watts. According to the tom's Hardware article linked below 970/980 power consumption while running CUDA tasks may be rather high. Seems we need to see some actual power draw figures for various cards while running GPUGRID tasks.

Tom's Hardware power consumption dissertation for the 970/980:

http://www.tomshardware.com/reviews/nvidia-geforce-gtx-980-970-maxwell,3941-12.html

Bumping, since first announcement had no effect on reducing 4.2 app contribution.
Possibly crunchers who never read the forums..

Hi Matt, you can use the "Notices" in BOINC Manager to do the announcement and perhaps repeat that every fortnight.

Neat, thanks. Can you see the notice now?

Matt

I've got a GeForce 760 card, and the driver is 344.48. I know "every bit counts," but it makes sense that you're moving away from older hardware. Eventually the older hardware just becomes a waste because newer hardware can do it faster, better, and more effecient.
____________

Hello.

What a lot of you don't realize is everyday there are fewer and fewer people using BOINC. Maybe users are stable on GPUGRID, however, overall people see to get bored, even long time users and eventually stop running BOINC.

So, the want of some users to cut off anymore than what the admins have suggested based off efficiency is just wrong. Sure it'd be ideal if everyone had the most efficient cards. But right now, BOINC is sort of spasiming due to lack of new users to make up for the ones leaving. They need a good PR campaign or something. Or some kind of better reward system (maybe actually giving something like bitcoins for use, such as GRIDcoins). Anyway - cutting off users due to inefficiency is a bad idea. It's alienate the people and would not be worth making the world a slightly better place. I don't think I'd return to the project if it did that to me, seeing how many other ones there are out there that wouldn't do that to me.

Everyone who reads this ought to try to get a friend whose never used BOINC to try it, rather than worry about inefficient GPUs on the project. For real.

Regards,

Matthew Van Grinsven

What a lot of you don't realize is everyday there are fewer and fewer people using BOINC. Maybe users are stable on GPUGRID, however, overall people see to get bored, even long time users and eventually stop running BOINC.

So, the want of some users to cut off anymore than what the admins have suggested based off efficiency is just wrong. Sure it'd be ideal if everyone had the most efficient cards. But right now, BOINC is sort of spasiming due to lack of new users to make up for the ones leaving.

Hi Folks, running a 660GTX here, I hope it's still ok. It runs 24/7 but if need be, depending on pricing, what should I get? I do play a few games, but I take it most good crunching cards are very good to excellent gaming cards anyways, a win win situation. If my card is still supported, I will wait until after xmas and I am planning on building a brand new system anyways. Current setup is a Xeon socket775 quad core @ 3.6Ghz and one 660 GTX. Might just add new card and run 2 cards for Crunching!

take care folks!

Sean

Hi Folks, running a 660GTX here, I hope it's still ok.

Well then, I guess I'm set for a little while still. Thanks, hope to output more results this coming year.

Are you going to update the GPU Model List?
From what I can tell any GTX 6xx and above will still be supported?

Thanks,
bcavnaugh
____________

Crunching@EVGA The Number One Team in the BOINC Community. Folding@EVGA The Number One Team in the Folding@Home Community.

I was very dismayed by the announcement that you plan to no longer support NVIDIA GPUs using the 340 driver. I am a long time BOINC supporter and recent GPUGRID supporter. I've recently completed testing of a Linux Cluster for my home that I expect will be idle most of the time other than running BOINC jobs. This cluster is now running about 500 GLOPS for CPUs and 7000 GFLOPS for NVIDIA GPUs. These GPUs are NVIDIA Telsa C1060 cards and GTX 770 cards. These are not the fastest GPUs, but they are able to run your Long tasks in about 24 hours, which is about half as fast as you claim the fastest cards are able to run. These NVIDIA Telsa C1060 cards are not supported by the 343 drivers for Linux. Their 343 driver is buggy and on UBUNTU fails on most cards including my GTX 770 cards, so I am forced to use the 340 driver on all my machines.

I am very interested in the research you are doing and would very much like to continue work on your BOINC tasks beyond the end of 2014. If you proceed with your plans to drop support for the 340 drivers, you will not only lose my machines, but most UBUNTU Linux users as well. Are you sure that the performance improvements you will gain on the newest cards by changing to 343 will offset the loss of all Linux Users? These Tesla C1060 cards are now being sold on the used market for under $75, so hobbyist are just now beginning to have access to these cards, which are fast and support double precision as well. Windows users with these Telsa cards will be forced to stat with the 340 driver as well.

I'm sure that BOINC projects like SETI and POEM are hoping that you proceed with your plan, as they will inherit many GFLOPS from users like me. I currently run those tasks when I cannot get work from your project, which in 2015 will be all the time.

Thank you,
Greg Tippitt
BOINC GTIPPITT - Team Leader for
STARFLEET - Star Trek Fan Association

Greg,

Sorry to hear about your bad luck with the NVIDIA 343 drivers.

I would like to say though that I am running Ubuntu 14.04, a GTX 770 GPU, and Nvidia 343.22 drivers and it seems to be working just fine. Most long units complete in the 8-10 hour range.

What kind of problems are you having when using the 343 drivers on the GTX 770 cards?

Hi, Matt

Many thanks for your response. I have attempted to update my drivers as you suggest. I have not succeeded as Win7 reports my drivers are up to date.

I will search further...

John

John,

At present I process GPUGrid tasks with two NVIDIA GeForce GTX 650 Ti (1024MB) GPUs and driver 334.89.

Those cards are just fine, and will be useful for a long time to come. It's only he Geforce 200-series we need to wave good-bye to.

If you could update your driver to 343 sometime before the new year, that'd be appreciated. You'll get the newer CUDA 65 app, which will - eventually - be faster than 60.

Matt

Hi, Matt

Many thanks for your response. I have attempted to update my drivers as you suggest. I have not succeeded as Win7 reports my drivers are up to date.

I will search further...

John

Thanks, Zoltan.

Hi, Matt

Many thanks for your response. I have attempted to update my drivers as you suggest. I have not succeeded as Win7 reports my drivers are up to date.

I will search further...

John

John,

The Microsoft update don't have the latest 3rd party drivers, you should check and download them directly from the vendor's website (http://www.nvidia.com, http://www.geforce.com), or download the latest driver with the vendor's updater application (GeForce Experience).

I have problem with drivers from Nvidia site due to the Optimus system. Also any driver newer than 331.38 in *.deb repositories can't work with Boinc. So started crunching other projects. For ex, Collatz giving good credits, but for what? For a result file that is less than a half kilobyte. :D And for some mathematical problem that I don't know what it will help for.

Matt,
Good luck with your new software development. I will return to other BOINC projects when my 7 TeraFlops are no longer supported by GPUGRID. This summer I started running GPUGRID tasks because a shortage of GPU tasks on the SETI@Home and POEM@Home projects, but they are back up now with plenty of tasks. I continued running your tasks because I was looking for medical tasks. You also dramatically inflate credit compared to most other projects. For example I got 300,000 credits today from GPUGrid, while other projects give me half that much credit per day on average. GPUGRID gives the most credit per runtime of any project I've found except, Collatz, and certainly more credit than any project doing research on medicine, climate, or cosmology that I've found.

Thanks, Greg


CaptainJack,
I'm using the same 3.13.0-39-generic kernel as you. Is yours 32 or 64 bit?

I'm not mixing the Telsa cards and the GTX 770's. I only have a single GPU per motherboard. My cluster is using quad CPU SuperMicro H8QME-2 motherboards that only have a single x16 slot, and lots of (nearly useless) PCI-X slots. For CPU tasks, they are great with 24 AMD 2.4MHz cores.

There is lots of talk on other BOINC forums about the Telsa C1060 cards being overpriced versions of cheaper consumer video cards. I don't know a lot about them, other than they complete work units faster than the much newer and more expensive GTX770's I've bought. I've got the 770's installed on a my home theatre PC and my desktop PC, where I need the video capabilities of the card.

After seeing the notice in BOINCMGR, I gave the 64 bit 343 drivers from NVIDIA's website a test on a newer machine I was working on. It's is a newer SuperMicro H8QM3-2s motherboard with more PCIe slots. I'm using a pair of GTX 770 cards in this motherboard and no Tesla cards. I'm using the 64 bit UBUNTU 14.04 with all updates. With the NVIDIA 343 drivers, Xserver won't start, but the system runs fine with 340 release.

I live in the state of Tennessee in the US, where we are fortunate to have more affordable electricity than many other places as a legacy of 1940s (TVA) hydroelectric construction projects along the many lakes built on the Tennessee River for flood control and power generation. I pay about 10 cents per kilowatt hour. I probably won't be buying any more new hardware, as I am far further past my sell-by-date than my hardware is. I'm old enough that when I started programming in FORTRAN IV, supercomputers were round instead of square.

I got the hardware for my cluster as a cheap bunch of untested junk, much of which would not work. It was damaged stuff from a local PC recycling center that had been discarded by the nearby Oak Ridge National Laboratory, where they keep some of our biggest supercomputers. I've been working on this cluster as a hobby to see if I could build a supercomputer from garbage. I've not run it much of the time until the weather has gotten cool. The cost to run the cluster this winter will be offset greatly by it heating my home. I've now gotten it to more than 150 CPU cores and 1500 GPU cores. Now that I've almost finished the hardware, I going to start on some parallel software ideas I wanted to play with. When I'm not using it for anything, I'll have it running BOINC tasks.

It's now a bookshelf full of stuff that could win an award for the ugliest computer ever built.

Thanks,
Greg

Greg,

I'm using 64-bit and using the NVIDIA driver installation method posted here:

http://www.gpugrid.net/forum_thread.php?id=3713&nowrap=true#36671

If you scroll down a few more posts, skgiven has added some additional tips.

Sounds like you have an interesting project going on there.

Jack and ET-Ape,

I don't see what the size of the result file has to do with how useful a project is, as long as the result is not "42". For me, some of the BOINC projects do seem like a waste of electricity, but others might say that about SETI@Home, which I've been a supporter of since the original "Pre-BOINC" days. I run work for several projects for SETI, medical research, climate change, and Cosmology. I run both MilkyWay and Einstein.

I was wearing a MilkyWay@Home T-shirt last week, and guy in my cardiologist's waiting room struck up a conversation with me about BOINC. He was talking about how some projects seem frivolous, and he didn't see the point of the one for rendering animations. I told him to download and watch the Big Buck Bunny video. I explained that students trying to learn and practice high-end animation skills don't have access to supercomputers. Steve Jobs made his fortune with Pixar, because George Lucas sold him Pixar cheap. Jobs realized that the reason Pixar's software wasn't working was because they were running it on a old DEC VAX mainframe. After he bought Pixar, he replaced the old mainframe the artists were sharing with Silicon Graphics Workstations for each artist. The software then worked fine, and they finished the original Toy Story movie. An example of Job's marketing genius was that he had the IPO for Pixar stock the same day the movie opened. For rendering of 4K-3D animations, it takes lots of computing power, so students using a desktop PC can use BOINC to render their projects, just as researchers needing data analysis can.

Thanks for the link about the getting the drivers working, I'll take a look. I'm in the process of getting the machine I use as my desktop to run a virtual machine that will be part of my cluster as well. I've just started testing the GPUGrid CPU tasks. They run really cool on these nodes. Each motherboard has 24 cores, but I limit BOINC to only running 20 CPU jobs at a time. That leaves cores for feeding the GPU job, system overhead and IO overhead. The GPUGRID tasks for CPU (and Milkway nBody tasks) will grab all 20 of the CPU cores and start grinding away on a task.

The machine I'm working on now has more PCie slots, so I'm trying both GTX 770 cards and a Tesla card in the same machine. The Tesla card is 50% faster than the GTX 770 card. When Matt makes the changes, I can continue to run the GPUGrid jobs for CPU, and let POEM and SETI use the GPUs.

NVIDIA GPU 0: Tesla T10 Processor (driver version 340.32, device version OpenCL 1.0 CUDA, 4096MB, 4041MB available, 933 GFLOPS peak)

NVIDIA GPU 1: GeForce GTX 770 (driver version 340.32, device version OpenCL 1.0 CUDA, 2048MB, 1984MB available, 624 GFLOPS peak)

NVIDIA GPU 2: GeForce GTX 770 (driver version 340.32, device version OpenCL 1.0 CUDA, 2048MB, 1984MB available, 624 GFLOPS peak)

Since the motherboards are too large for most cases, I've got the motherboards in a bookshelf using nylon wire ties and Ducktape. Here is a picture of what I call my Cluster Duck.

If you download the Nvidia GeForce Experience tool, it will keep you up to date on driver releases from Nvidia. I don't get my drivers from anyone but Nvidia. The third party manufacturers just ship out the driver Nvidia does anyway.

How did you install this on Ubuntu 14.04 Driver Nvidia 343.22 that is.
Do you have a commands needed for us Window Users.
Thanks

To: ET-Ape,

"DON'T PANIC inscribed in large friendly letters"

I'm sorry if I stepped on anyone's toes (or prehensile tail). I wasn't looking to start a fight. Quite the opposite, I was trying to say that there are different views on what are "useful" projects. Even though it's not a project I run tasks for even though it's cool, the RenderFarm was my example of how "frivolous" versus "useful" is a matter of perspective. Listening for ET transmissions is important to me, but considered frivolous to some/many. I'm a huge fan of Douglas Adams writings and was just trying to be humorous with my reference to 42 being the short answer to "the meaning of life, the universe, and everything".

I'm not sure why the link to the picture didn't work. I'm not up to speed with BBCodes.

https://drive.google.com/file/d/0B2gn3MG8nZvAMDRWaEhGV0dkMlk/view


To: Matt , et. al.,

As for the the performance of the GTX770's, you all obviously know far more about that I do, which isn't difficult as I'm fairly ignorant on graphics cards. The only computer games I play are GO and Star Trek Armada, so I've never worried about frame rates. My GTX770 cards are generic Chinese imports. They say NVIDIA GeForce GTX770 on the outside, and NVIDIA drivers say they are the GTX770. The number of CUDA cores reported for GTX770 cards is somewhat confusing, as some things refer to the number of shaders cores and others to the the number of texture cores.

The GFLOPs numbers in my message were from the BOINC start up. A few months ago, I did a comparison of wall-time for running some EINSTEIN tasks. The time to completion for a GTX770 card was about 25% longer than the same system with a Telsa card installed instead. As for whether I'm using single or double precision, I don't know which the projects use. Except for an old PCI video card in my file server that uses a GeForce 8400 GS, all of my cards support DP if required, It is a big performance hit when it's needed. One of my first programming jobs (so long ago that double precision would be needed to calculate) was doing actuarial programming in FORTRAN for life insurance companies. To control rounding errors and improve performance on ancient hardware, floating point was avoided whenever possible. Money amounts were always in pennies using unsigned long integers, such as 100,000 for $1000.00.

A comment about the declining number of BOINC volunteers.

Lots of users are giving up their desktop computers as their tablets and phones have more capabilities to take their place by using online resources. I homes that might have had multiple desktop PC, they now may a single desktop to use when they need something more powerful than their touchscreen devices. I don't do any calculations on my Android devices, because it drains the battery too fast. I use the BOINC client portion to attach to other systems on my home network to monitor them, but I don't run any calculations on these devices.

As the the team leader for the BOINC "Starfleet" team, I've seen the number of active users on my team decline to about half what it was 7 years ago, but the work unit production of the team has increased as desktop machines of the remaining users have become more powerful. In the US, we also don't seem to get much press anymore. I used to hear or read a mention of the SETI@Home project periodically in bits about science news. It has been a few years since I've seen anything about BOINC projects outside of BOINC forums or articles about computer clustering.

I'm very sorry if I made anyone angry. I have a sarcastic sense of humor, and I should take more care so as not to cause offense.

Greg

My GTX770 cards are generic Chinese imports.

My GTX770 cards are generic Chinese imports.

There's your problem... they aren't actually GTX770's. Einstein is reporting they only have 128 cuda cores.

Everybody,
Thanks for all the info. I was beginning to smell fake last night as I read more specs on the real GTX770s, which is why I mentioned mine were from China (on AliExpress). I guess you get what you pay for at 3 cards for $250. At the time, I needed something faster than the ATI ES1000 graphics on the motherboard with 16MB. When I got them, they were fast enough and cheap enough, so I was happy enough.

After I posted last night, I did a Google search (I can't say Googling, without thinking of Décolletage) for "fake NVIDIA GTX 770". There were lots of discussions regarding cards bought on AliExpress. At least mine isn't as obvious as the one below where they were selling a NVDIA Radeon card by ASUS, which looks like somewhat like my cards other than the ASUS sticker. Mine also has two fans so it must be twice as fast, right?

I am feeling an odd sense of simultaneous stupidity and enlightenment. To paraphrase former Def. Sec. Donald Rumsfeld, at least now I know what I don't know, which is better than not knowing what I don't know. I'm sorry to have inadvertently hijacked this news thread for tech support.

I think perhaps I'll change my name, be quite from now own, and go back to looking for cures for cancer and broadcasts of "I Love Lucy" reruns with Vulcan subtitles (using my CPUs).

Greg Inadvertent Tippitt

This is good news indeed.
I think that crunching on pre-Kepler cards (GTX-2xx, GTX-4xx, GTX-5xx) is a waste of electricity.

In fact I'm trying new projects, checking for run times and the credit they give. File size was a thing just received my attention when crunching, not a proof of a bad project. I read many things about usefulness of those projects and don't feel perfect with Collatz but anyway it's one of those projects.
I ran Einstein@home and it's on the list, loved the CPU job graphics. But my priority is projects about health and medical issues. I was planning to switch Poem@home but they don't seem to have those OpenCL works there.
Now checked again and Boinc receives CUDA42 Noelia jobs, so I continue them.

Nvidia have never oficially supported their Optimus products on Linux. Anyway Bumblebee is fine for normal usage but not for crunching. Also drivers downloaded from Nvidia site work and crunch fine but I can't switch to integrated graphics on them. In this area we have frequent blackouts. And to Optimus or not Optimus means two hours of difference between the notebook battery life...

Sorry for causing some annoyance here. :)
____________

sis651,
Regarding POEM@Home, the availability their GPU work is sort of hit or miss, It doesn't run that well on GPUs as some others projects either. I think their code is maybe better suited to CPUs. Their GPU tasks also require a full CPU core while running. The difference in speed for running CPU vs GPU tasks for POEM is not as great as with other projects like SETI AstroPulse, so I run CPU work for POEM and use my GPUs elsewhere. You run almost exactly the same projects as I do.


Matt and ET-Ape,
This weekend, I snagged a pair of used NVIDIA 670 cards (real ones) on ebay for $250. They're not as fast as Titans, but as bottom-feeding goes, I'm happy. The StdOut from BOINC shows the numbers from my "funny 770", which explains why I thought my Telsa cards were so fast. The fake 770's were the first CUDA GPUs I had ever bought, so I thought the old Tesla cards seemed really fast by comparison. ("So it not a Greyhound, it's a Basset Hound? I always wondered why his legs were so short.") When I've had a chance to move the older cards to another machine, I can then upgrade my drivers to 343 for the machine with the two (real) 670s. In the meantime, I wonder how many workunits I can finish per day with this machine's 4 GPUs and 24 CPU cores.


GPU 0: GeForce GTX 670...... 2048MB - 2915 GFLOPS

GPU 1: Tesla T10 Processor.. 4096MB - 933 GFLOPS

GPU 2: GeForce GTX 770...... 2048MB - 624 GFLOPS

GPU 3: GeForce GTX 670...... 2048MB - 2915 GFLOPS


There is a listing on eBay with lots of bids for a fake 770 like mine. The NVIDIA driver and settings program report that the card is a GTX 770. The clue is the 128 CUDA cores. Well there is also the matter of it not looking like a 770, I guess.

http://www.ebay.com/itm/231383397036?_trksid=p2055119.m1438.l2649&ssPageName=STRK%3AMEBIDX%3AIT

Well, so much for my promise to be quiet from now on...

Greg Tippitt
BOINC Team Leader for
STARFLEET - Star Trek Fan Association

I am using driver 334.89. NVIDIA tells me this is the latest driver for my two GTX 650Ti GPUs.

Not being particularly tech savvy, I can't do any more. Not sure what effect, if any, this will have on my ability to process after 1 January 2015.

John

Damm you lot and your ARMS race. You have just forced me to upgrade again to Asus GTX970 and use my Asus GTX660TI to replace old GTX460.

Only leaves GTX560TI to replace.

I am using driver 334.89. NVIDIA tells me this is the latest driver for my two GTX 650Ti GPUs.

Not being particularly tech savvy, I can't do any more. Not sure what effect, if any, this will have on my ability to process after 1 January 2015.

John

Yes, it was meant to be a joke

ET-Ape,
We realize that Vulcans have difficulties with the humour of humans',but you could use logic and language syntax to help you with the recognition of irony and sarcasm.

Peace and long life,
Greg

Ahhh, well at least I got a good laugh reading this thread's misunderstood sarcasm... :D

Also, sorry to hear about the fake cards.
____________

Hey Matt,

Thanks for the overage GPU card usage percentages. I've been waiting to upgrade my EVGA 470 since last June but the new cards were delayed and even skipped a generation as you all know. Happy to say that my new EVGA 970 in arriving tomorrow! So amazing to see the difference in crunch times. After 14 years of crunching, I'm looking forward to a fresh card with my new computer.


Hmmm, should I keep the 470 in my computer as a second cruncher? The fan is a bit loud and it does use a lot of power... Feedback would be most welcome...


Get Crunchin'

BDDave
____________

The waste is heat, so during the winter the cost is offset by the heat keeping your house warm, but come summer doing some math to estimate the monthly cost might be needed, since you then must also pay to cool your home. I don't crunch during the daytime during summer when my AC is ruuning, but wait until evenings when I open window (meaning the wholes in the walls covered with glass, not the software from Redmond, WA)

ET-Ape,
That was a joke, but not a good one, so don't use it for calibrating your tricorder.

Greg

The waste is heat, so during the winter the cost is offset by the heat keeping your house warm, but come summer doing some math to estimate the monthly cost might be needed, since you then must also pay to cool your home. I don't crunch during the daytime during summer when my AC is running

Greg,

Actually the computer IS in the bedroom and this room gets hot in the summer time as a result! The heat from the GPUGRID projects ran my EVGA 470 around 85C degrees on average. I had to run the air condidtioner in the living room, then run another floor fan by the hallway to push that cool air in. My summer electric bill is usually twice as much as the winter bill here in the Los Angeles area.

Also, the new EVGA 970SC is in and running at 73C using 86% GPU usage. That alone is awesome and I hear NO noise with the ACX cooler fan.

Get Crunchin'

BDDave

____________

BDD,
ET-Ape's suggestion is a good one about passing the card along to somebody that can use it. You could get them to use it for BOINCing in exchange for a free graphics card. Perhaps even include a "dead rat with a string to swing it with".

I'm glad my cluster is in my dining room rather than the bedroom, as I definitely wouldn't get any sleep for its noise. It has 36 of the 80mm fans on the CPUs and GPUs. I've also got three 19 inch box fans to move air through the bookshelf, which holds the 6 open-air motherboards. These box fans do double duty as air filters to prevent dust from clogging up the heat-sinks. On the back of each 19 inch box fans, I put a 20 inch square air-conditioner filter to trap hair and dust. I've got 3 dogs that produce tons of hair that accumulates no matter how often I vacuum. I've also got long hair and beard, that's not quite ZZ-Top length, but almost. The AC filters cut the air flow a bit through the 19 inch fans, but it's worth it for the dust they trap. The cluster has been running 8 hours a day for the past 5 months, and when I had to replace a CPU fan that failed recently, the heat sink had trapped very little dust when I blew it out with compressed air.

It was 20 degrees Fahrenheit here in Knoxville, TN last night. My central heating thermostat is set at 60 degrees, but the house is kept 70 to 75 degrees by my AMD Opteron heating system that's crunching about 500,000 credits per day.

(ET-Ape - Humor warning) I wonder what it would cost to replace the heat sinks and fans with waterblocks to use the cluster as a water heater? Why do some some people call them "hot water heaters"? They heat cold water as there would be no reason to heat water if it were already hot.

Greg