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I Have A 6 Core (2CPU+4GPU) But Task Manager Says Cores: 1

Let us know how you do. Will this be cost-optimal? It seems that none of the CPUs with this socket have an internal GPU to drive display. Someone looked up what A8's generally have and made that mistake without actually knowing it was a custom Dual-Core. http://hamlookup.com/i-have/i-have-the-following-task-to-complete.html

Yup, AMD wouldn't call it an A8 if it only had one module. This means you could synchronize 0.2666/0.0036 = 74 gradients per second. well I'm really not a fan of the form-over-function design they chose, but I'll take a look and make a comparison... So pretty quickly it will be pretty slow even for convolutional nets.

You can change the fan schedule with a few clicks in Windows, but not so in Linux, and as most deep learning libraries are written for Linux this is a problem. DyDx Ars Praefectus Tribus: Maryland Registered: Jul 2, 2002Posts: 3866 Posted: Wed Jan 22, 2014 2:31 pm Unfortunately, the T3610 seems to only available in a single quad-core Xeon configuration and Straight Power 10 500 Watt CM Mouse: Logitech Nano Laser wireless Keyboard: RAPOO E9270P Black 5GHz wireless Software: Windows 8.1 x64 Benchmark Scores: Fire Strike (1.1) 14394 http://www.3dmark.com/3dm/15300177? 21169 graphics score. if it were any 'ol shitty desktop of this age, of course I'd agree with you, but there's so much room to expand this that it makes sense to ME.

Most cases support full length GPUs, but you should be suspicious if you buy a small case. Typical monitor layout when I do deep learning: Left: Papers, Google searches, gmail, stackoverflow; middle: Code; right: Output windows, R, folders, systems monitors, GPU monitors, to-do list, and other small applications. To be honest, it will probably require higher clocked CPUs or a new CPU with better performance. That Dell Precision linked above supports up to 128 GB so I'll probably start there.

I bought large towers for my deep learning cluster, because they have additional fans for the GPU area, but I found this to be largely irrelevant: About 2-5 °C decrease, not If you do not use convolutional nets at all however, the GTX 580 is still a solid choice. And the other CPUs, LGA 1150 and LGA 1155, do not support more than 28 lanes. DyDx Ars Praefectus Tribus: Maryland Registered: Jul 2, 2002Posts: 3866 Posted: Wed Jan 22, 2014 9:46 am whm1974 wrote:Quote:Now the question is what to get!

Also have it set to use 90% in BOINC manager. You can make it work to run faster, but this required much effort and several compromises in model accuracy. Welcome to the Ars OpenForum. Reply Tim Dettmers says 2015-03-18 at 16:04 I also read a bit about risers when I was building my GPU cluster, and I often read that there was little to no

However, typical pre-programmed schedules for fan speeds are badly designed for deep learning programs, so that this temperature threshold is reached within seconds after starting a deep learning program. For comparison: Upgrading from a GTX 680 to a GTX Titan is about +15% performance; from GTX Titan to GTX 980 another +20% performance; GPU overclocking yields about +5% performance for Newer Than: Search this thread only Search this forum only Display results as threads Useful Searches Recent Posts More... I assume more wouldn't hurt but 8 seems like it'd be pretty damn good.I'm kind of out of my league here, but from where I'm sitting it seems that you need

Reply Tim Dettmers says 2015-03-16 at 18:59 The sky is the limit here. It keeps the convolution and pooling layers but replaces the neural net with a new fast-food (LOL) version of SVM. The .1 doesn't seem to affect the breakthough listen data when they are crunched on the new app (OpenCl SoG) as they appear to need a full core. Anyone with a 7970 Beast been able to solve this ?

So the bottom line is that 16 GPUs with 4 PCIe lanes are quite useless for any sort of parallelism — PCIe transfer rates are very important for multiple GPUS. HOWEVER one word of warning. Case: Raidmax Scorpio 668 Sound Card: onboard HD Power Supply: EVGA 750 GQ Software: Windows 10 Benchmark Scores: no one cares anymore lols @P4-640 nor is it an A8 also as http://hamlookup.com/i-have/i-have-a-question-about-the-vista-manager-program.html Reply Harry says 2017-01-11 at 03:05 I realize this is an old post but what motherboard did you pick?

While it might boot. The only disadvantage is, that you have a bit less memory. How to compute my integral C#, PI Calculator, Interview Challenge What is the name of a business that fixes clothes?

What CPU usage should I set my i7,i5,i3 config files?

Luckely, I had 3 times more Arecibos assigned to GPU than guppis so I supended the guppis for the night. same proverb as in Chinese. But she did express that $8000 seemed like an awful lot, so I'll set that as the upper limit. It has 2 CPU sockets, one of which currently has a Xeon X5260, a 1000W power supply, 4GB of ECC DDR2 RAM, and 16 RAM slots in total.We'd basically like to

The time now is 05:10 PM. Also, i understand the Titan will be replace this year with a faster GTX 980 Ti. Yes I have one like that If you are talking about the T7600, it actually can be upgraded to 8 drives after the purchase but it is a bitch to do. As a programmer, you can think of it as a hash table, where every entry is a key-value-pair, and where you can do very fast lookups on a specific key: If

Why the discrepancy? I've tried offsetting the wu times by suspending a given unit at x% and letting a new one start, but I'm finding with the 7970 running at 1200 Mhz this just Would it make sense to add water-cooling to a single GTX 960 or would that be overkill? Reply Hannes says 2015-03-11 at 03:45 I find the recommendation of the GTX 580 for *any* kind of deep learning or budget a little dubious since it doesn't support cuDNN.

ID: 1798787 · 1 · 2 · 3 · 4 · Next Message boards : Number crunching : Help optimizing app config file with Core i7 GTX750ti ©2017 University DyDx Ars Praefectus Tribus: Maryland Registered: Jul 2, 2002Posts: 3866 Posted: Wed Jan 22, 2014 8:06 am Well thanks everyone, this advice is exactly why I posted this question on Ars I just said that bandwidth might be important, but this is not so when we look at the next step in the process. They way they put it makes it seem like they lost 2 cpu cores but gained 2 gpu units, that's not the case.

Edit: Here's the original source and that's exactly how the confusion started (Task Manager). Please correct me if I have! There are still no dual core A8's which is more what I was implying. So CUDA cannot use SLI.

As I said in the article, you have a wide variety of options for the CPU and motherboard, especially if you will stick with one GPU. Quote:I'll be meeting with my boss in a couple hours and will have a sense of budget after that (if she doesn't totally disregard the idea of buying an entirely new What is the likely max for memory here?2) will the Radeon R9 290X be hindered at all by the PCIe 2.0 bus? 3) Is ECC RAM required?4) will a 1000W power Reply Tim Dettmers says 2015-05-06 at 05:57 I overlooked your comment, but it is actually a very good question.

Can you give me a little chart with a little reference.