http://developer.nvidia.com/category/zone/cuda-zone
http://developer.amd.com/zones/OpenCLZone/universities/Pages/default.aspx
http://software.intel.com/en-us/articles/opencl-sdk/
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Have you even looked at what applications this project is testing and will be going to release? They're doing NCI, or Non-CPU Intensive applications. So do tell, what is the use of using a GPU then?
There is no need for any speed. Unless you feel that you can speed up the detection of the amount of radioactivity around you by putting in a higher speed CPU or GPU. Problem here is that neither the CPU, nor the GPU are doing any detecting, that's done by the external hardware that you need for this project, the Geiger counter.
So next time you register at a project to go tell them about the wonders of CUDA/CAL/OpenCL, how about reading the forums first? You might learn something...
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Jord
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Your reply was somewhat longer and more detailed than the one I was thinking of posting.
Mine was going to read:
LOL
;)
Al.
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Please do not be surprised. But ZARCK bears this post into any BOINC project.
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Please do not be surprised. But ZARCK bears this post into any BOINC project.
I think he would even had spammed the BelgiumBeer-Fora, to speed up UpperCase with Cuda ;)
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"Radioactive" app won't use any GPU for sure - the amount of calculation it does is so little that after 3 hours it usually ends with less than 1 second of CPU time. Half of that comes from updating BOINC API data, calculating fraction_done is the only floating-point operation the app does.
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