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[Phoronix] Speeding Up The Linux Kernel With Your GPU - Page 3

post #21 of 34
Can't they use OpenCL? That way it can run on both AMD and Nvidia hardware...
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post #22 of 34
Quote:
Originally Posted by qwertymac93 View Post
sick of this nvidia only crap. be brand agnostic or go home.
Sick of ATI fanboy crap when they complain about stuff like this. You could of known about "nvidias crap" way before you bought your card, you should of known, you should of cared. Its your fault.
    
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post #23 of 34
Quote:
Originally Posted by UNOE View Post
This is great really. They used co-processor way back. Why don't they just implement this in windows. I know they had a reason for ditching it before. But every little bit helps. Well I guess with Sandy Bridge and beyond it wouldn't matter that much. Its really hard to saturate 2600K at 4.8Ghz.
THe previous co-processor was to get any FP instructions at all, they put it in the CPU with the 486 because, well, why not?

Quote:
Originally Posted by codejunki View Post
Sick of ATI fanboy crap when they complain about stuff like this. You could of known about "nvidias crap" way before you bought your card, you should of known, you should of cared. Its your fault.
How is it his fault? The company doing this should have gone OpenCL instead of CUDA, and to be quite frank this would be the first non F@H related thing that CUDA/PhysX actually does that I would regard as a selling point, the rest are practically worthless.
    
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post #24 of 34
Quote:
Originally Posted by Viridian View Post
Maths and floating point integers are the foundations of computing
That may be true, but they are not the foundations of an OS kernel. Kernels do I/O and memory management, nothing the GPU can even do. I am curious as to what they've exactly done. Probably nothing.
post #25 of 34
Quote:
Originally Posted by Brutuz View Post
THe previous co-processor was to get any FP instructions at all, they put it in the CPU with the 486 because, well, why not?


How is it his fault? The company doing this should have gone OpenCL instead of CUDA, and to be quite frank this would be the first non F@H related thing that CUDA/PhysX actually does that I would regard as a selling point, the rest are practically worthless.
Have you ever thought that OpenCL wasn't designed for this? CUDA was, but it's not using strictly CUDA but being based off CUDA. If AMD had the hardware to support the operations it could easily be ported and done, since they don't offer it currently then it's not as easy as OpenCL.

[edit] So apparently OpenCL was an option, but I'm wondering if they would have had to do extra work to get OpenCL to work. I'm guessing CUDA has the work done already which is why they chose it.
Edited by mushroomboy - 5/8/11 at 5:29pm
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post #26 of 34
Quote:
Originally Posted by mushroomboy View Post
Have you ever thought that OpenCL wasn't designed for this? CUDA was, but it's not using strictly CUDA but being based off CUDA. If AMD had the hardware to support the operations it could easily be ported and done, since they don't offer it currently then it's not as easy as OpenCL.

[edit] So apparently OpenCL was an option, but I'm wondering if they would have had to do extra work to get OpenCL to work. I'm guessing CUDA has the work done already which is why they chose it.
OT: I would like GPU accelerated encryption!

OF: mushroomboy, if you're a Linux Lobbyist, why are you running a WinServer?
post #27 of 34
Cool I guess. But Linux just can't replace Windows for me and thousands of others. And that's a big number to Linux.
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post #28 of 34
Quote:
Originally Posted by Brutuz View Post
How is it his fault? The company doing this should have gone OpenCL instead of CUDA, and to be quite frank this would be the first non F@H related thing that CUDA/PhysX actually does that I would regard as a selling point, the rest are practically worthless.

Nvidia is funding this development, and without their funding, no work can be done.

If someone pays you to do something to their specs, you do it to their specs.

Quote:
The other problem is that this current work just targets the Linux kernel on calling the GPU using CUDA. This work is sponsored by NVIDIA so the university went with using the Compute Unified Device Architecture, which is only supported on NVIDIA hardware, and when using their latest proprietary driver. A better choice would have been OpenCL, which can run on both AMD and NVIDIA GPUs and is an open industry standard.
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post #29 of 34
It's funded research. Some of the responses in this thread are at a level of absurdity I didn't even know existed!
post #30 of 34
Quote:
Originally Posted by TFL Replica View Post
It's funded research. Some of the responses in this thread are at a level of absurdity I didn't even know existed!
its OCN you actually expected something different?
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