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When writing CUDA applications, you can either work at the driver level or at the runtime level as illustrated on this image (The libraries are CUFFT and CUBLAS for advanced math):
I assume the tradeoff between the two are increased performance for the low-evel API but at the cost of increased…
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I have a VS2010 project that was tested with CUDA 4.0, today I installed CUDA 4.2 and I want to update this project, the problem is that when I try to run the project it asks me for cudart32_40_17.dll, but since this is CUDA 4.2 I only have on my folders (C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v4…
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I use ubuntu 12.04 64 bits with GTX560Ti.
I install CUDA by following instruction:
wget http: //developer.download.nvidia.com/compute/cuda/4_2/rel/toolkit/cudatoolkit_4.2.9_lin ux_64_ubuntu11.04.run
wget http: //developer.download.nvidia.com/compute/cuda/4_2/rel/drivers/devdriver_4…
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I'm currently using CUDA.NET library by GASS.
I need to initialize cuda arrays (actually cublas vectors, but it doesn't matters) in one CPU thread and use them in other CPU thread. But CUDA context which holding all initialized arrays and loaded functions, can be attached to only one CPU thread.
There…
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as seen on Super User
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I have got the cuda driver, toolkit and sdk installed in Ubuntu 10.04. I'm using nVidia Geforce 8600 GT card. Official website says my card is CUDA supported. But on running the deviceQuery that comes with the cuda sdk, I'm getting the following output.
./deviceQuery Starting...
CUDA Device Query…
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My company has a setup of two GTX 295, so a total of 4 GPUs in a server, and we have several servers.
We GPU 1 specifically was slow, in comparison to GPU 0, 2 and 3 so I wrote a little speed test to help find the cause of the problem.
//#include <stdio.h>
//#include <stdlib.h>
//#include…
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Are there currently any programs available for monitoring/measuring GPU temperature? Something preferably free, and for either Windows XP and Windows 7.
Thanks in advance!
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Hi,
let's say that I am a physicist and that I am the master of the universe when it comes to port salready existing oftware to GPU's with 100x or more speedups. Let's say that I find that some other scientist, which does not know how to program GPU, publishes the Open Source code in his/her website…
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as seen on Internet.com
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The move to integrated CPU and GPU continues as Intel brings the technology down to the low-end netbook segment.
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<b>The H Open:</b> "The Japanese Fixstars Corporation, which specialises in software for the Cell processors, has announced the release of Yellow Dog Enterprise Linux (YDEL) 6.2 for CUDA, the first enterprise Linux OS optimised for GPU computing."
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