Zoson
Supreme [H]ardness
- Joined
- Aug 4, 2001
- Messages
- 6,113
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Why not just run it for 1000 loops, or let it loop constantly 24/7? I'm sure somewhere down the line at loop 2,834,945,107,383 it'll fail and you'll have to wait another 6 months to see if your OC is stable. *rolls eyes*
Really now. Anything over 50 is excessive. There's no point to be made by testing that much. No one taxes their system that hard.
Really now. Anything over 50 is excessive. There's no point to be made by testing that much. No one taxes their system that hard.
I've consistently seen failures after the 50th loop due to the fact that my watercooler takes longer than 50 loops to reach peak load temps. And also because long bouts of gaming without testing past that seemed to yield random crashes.
I don't run it at all, it never passes more than 4 loops. Do I care? Nope. My system has never crashed during normal usage. Been that way for almost a year and a half.
I don't run LinX because I have better shit to do than let my computer heat up my entire house then go on forums and brag about how long I can run LinX.
Way to make excuses. Bottom line is if you're not testing with LinX or IBT(which both use Linpack)... Your stuff probably isn't stable and the second you do something that actually taxes your machine, it will crash.
Which is why I test with Linpack before I run F@H . Maybe you should actually read my post.Wow, does everyone take such a horrible stance on stability nowdays?
If it crashes it's not stable...
The point of testing stability is so that F@H won't have to catch a bad work unit, and waste all your CPU time that was spend doing the work...
Nice edit, I saw your original post.
Way to make excuses. Bottom line is if you're not testing with LinX or IBT(which both use Linpack)... Your stuff probably isn't stable and the second you do something that actually taxes your machine, it will crash.
Not to mention that since Linpack is crossplatform, you can compare your results on different OS's.
Note that I'm rather new to programming, so there may be some bugs in there. Should you find one, report it and I'll do my best to fix it.
So if you don't like LinX, use IntelBurnTest instead. It's based on Linpack as well. Also, these programs are just Linpack wrappers at heart, so when it comes to the actual stress testing, it's Intel's code that's doing the work.Here's my edit in less words:
The creator of LinX admitted he's new to programming, and apologizes for any bugs.
Link
Doesn't seem like it would be too great at checking stability...
So if you don't like LinX, use IntelBurnTest instead. It's based on Linpack as well. Also, these programs are just Linpack wrappers at heart, so when it comes to the actual stress testing, it's Intel's code that's doing the work.
So part of my job is working with Mathematica, crunching raw data.
Mathematica linear matrix manipulations wreck your machine HARDER than Linpack. You can see in my screenshot that over 200 loops I peaked out at 87C. With Mathematica I hit 94C.
It's quite simple to simulate. Just download mathematica, and multiply a 1000x1000 matrix with another 1000x1000 matrix.
So yes, people that actually USE their machines to the full potential of the hardware *need* Linpack stability. It SUCKS to have a calculation that takes HOURS crash your machine and then you have to start all over.
Oh, and yes. What Zero82z said. The actual STRESS CODE is not written by the LinX creator. All it does is take the output from Linpack, and compare to see if it's exactly equal to your previous output. If not, your computer couldn't do the math correctly and it's unstable. So there's no reason to doubt its effectiveness. Not to mention IBT is exactly the same thing, but with fewer options and a not as nice interface.
Fail on your part for using an OC'd machine to crunch data in a work environment. Buy a faster processor and leave it stock.
http://reference.wolfram.com/mathematica/GUIKit/tutorial/Threads.html
the Mathematica kernel is not multithreaded, the only reason for attempting a multithreaded interface definition is to allow user interface updates to occur while a long calculation may be proceeding in Mathematica.
Sucks for you then. But to say an i7 will not crunch data faster than a C2D, regardless of clock speed, is wrong. I'd put money on an i7 920 at 3.8 would crunch your mathematica data faster than your E8600 clocked to 4.4.
Personally I wouldn't rely on an OC'd machine to crunch important data though.
I test lightly while I am awake 5-20 loops and when I go to sleep I set it for 100. If it passes I consider it stable enough for anything I want to do.
I just wish there was an option that said "I don't use LinX because I don't give a shit, I'm satisfied with prime95 and windows tasks running completely fine, at least in vista, and games run good too!"
Not to mention the cheesy lines after each number.
If I had an issue where it kept messing up on the exact same loop, I'd blame software coding before hardware.
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Actually, mathematica is one of the few things that the C2 beats the pants off the i7. 20% on average.
http://ixbtlabs.com/articles3/cpu/intel-ci7-920-p2.html scroll down to the scientific performance area. You'll notice it's directly clock dependant. IPC, thread count, and core count have little bearing.
And the reason why I stress to 200 loops is because this is a machine I do work on and it needs to be correct...
The fact you would put more faith in an untested stock chip verses a statistically verified overclocked chip is amazing.HydroBudz said:Sucks for you then. But to say an i7 will not crunch data faster than a C2D, regardless of clock speed, is wrong. I'd put money on an i7 920 at 3.8 would crunch your mathematica data faster than your E8600 clocked to 4.4.
Personally I wouldn't rely on an OC'd machine to crunch important data though.
Unfortunately we don't have a matlab license. matlab is also multithreaded... Really significantly superior to mathematica in that respect. I've been arguing to get a matlab license for two years now with no result...If you multiply large matrixs a lot, you might look at matlab and the CUDA plugin, it should make a significant difference in your times.
Yeah, I mean who really cares if your computer adds 2+2 and gets 5 sometimes as long as it doesn't crash?Unfortunately we don't have a matlab license. matlab is also multithreaded... Really significantly superior to mathematica in that respect. I've been arguing to get a matlab license for two years now with no result...
[dream]
...Oh what I could do with a c2q, my gtx275's and matlab...
[/dream]
Oh, and I've decided to ignore the kiddies that would say Linpack has a programming problem, and they don't need to stress test with it. They don't understand the meaning of stable. They are not worth our time, cut and dry.
Not Stable. No idea of how many loops run or core temp.
Until a program is documented that tests every cpu instruction, function and register and the memory and the video and the I/O all anyone can say is something along the lines of "The machine is stable doing xxxxxx under the enviromental conditions of yyyyyyy. And if thats good enough for the user then that is good enough for the user.
IMO the only absolutely 100% stable cpu I would trust would be sitting in a test fixture in Intels QC lab with "PASS" on the monitor.
But carry on, just keep it civil.
Well, considering IBT was designed by Intel......Until a program is documented that tests every cpu instruction, function and register and the memory and the video and the I/O all anyone can say is something along the lines of "The machine is stable doing xxxxxx under the enviromental conditions of yyyyyyy. And if thats good enough for the user then that is good enough for the user.
IMO the only absolutely 100% stable cpu I would trust would be sitting in a test fixture in Intels QC lab with "PASS" on the monitor.
But carry on, just keep it civil.
Yeah, I mean who really cares if your computer adds 2+2 and gets 5 sometimes as long as it doesn't crash?