you only need the nvidia driver for opencl to work, not the cuda sdk. the
usual thing to go wrong during installation is a missing
/etc/OpenCL/vendors/nvidia.icd file.
On Sun, Feb 9, 2014 at 11:11 PM, Victor L <[email protected]> wrote:
> Hello,
>
> Here are detailled instructions on how to install CUDA : Getting started
> guide for
> Linux<http://docs.nvidia.com/cuda/cuda-getting-started-guide-for-linux/index.html#runfile-installation>
> The download page <https://developer.nvidia.com/cuda-downloads>
>
> If you can compile the CUDA example deviceQuerry and run it then your
> installation is ok.
> I don't know if OpenCL/darktable make use of CUDA
>
>
> 2014-02-09 10:43 GMT+01:00 [email protected] <[email protected]>:
>
> Hello,
>>
>> I'd like to do some benchmarks.
>> When I run with opencl enabled (checked "opencl" in the gui and restart)
>> I get the nearly the same two values (e.g. for equalizer):
>> [dev_process_preview] pixel pipeline processing took 1,005 secs (2,764
>> CPU)
>>
>> It doesn't make any difference whether with or without opencl. The stay
>> always the same.
>> Why are there two values shown?
>>
>> Here is the output with opencl enabled:
>>
>> $ darktable -d opencl -d perf
>> [opencl_init] opencl related configuration options:
>> [opencl_init]
>> [opencl_init] opencl: 1
>> [opencl_init] opencl_library: ''
>> [opencl_init] opencl_memory_requirement: 768
>> [opencl_init] opencl_memory_headroom: 300
>> [opencl_init] opencl_device_priority: '*/!0,*/*/*'
>> [opencl_init] opencl_size_roundup: 16
>> [opencl_init] opencl_async_pixelpipe: 0
>> [opencl_init] opencl_synch_cache: 0
>> [opencl_init] opencl_number_event_handles: 25
>> [opencl_init] opencl_micro_nap: 1000
>> [opencl_init] opencl_use_pinned_memory: 0
>> [opencl_init] opencl_use_cpu_devices: 0
>> [opencl_init] opencl_avoid_atomics: 0
>> [opencl_init] opencl_omit_whitebalance: 0
>> [opencl_init]
>> [opencl_init] trying to load opencl library: '<system default>'
>> [opencl_init] opencl library 'libOpenCL' found on your system and loaded
>> [opencl_init] found 1 platform
>> [opencl_init] found 1 device
>> [opencl_init] device 0 `GeForce GTX 460' has sm_20 support.
>> [opencl_init] device 0 `GeForce GTX 460' supports image sizes of 32768 x
>> 32768
>> [opencl_init] device 0 `GeForce GTX 460' allows GPU memory allocations
>> of up to 255MB
>> [opencl_init] device 0: GeForce GTX 460
>> GLOBAL_MEM_SIZE: 1023MB
>> MAX_WORK_GROUP_SIZE: 1024
>> MAX_WORK_ITEM_DIMENSIONS: 3
>> MAX_WORK_ITEM_SIZES: [ 1024 1024 64 ]
>> DRIVER_VERSION: 319.76
>> DEVICE_VERSION: OpenCL 1.1 CUDA
>> [...]
>>
>> It exits well:
>> [opencl_summary_statistics] device 'GeForce GTX 460': 37 out of 37
>> events were successful and 0 events lost
>>
>>
>> The following OpenCL packages are installed. Perf Logging seems fine.
>> The following packages are installed:
>>
>> nvidia-opencl-common
>> nvidia-opencl-icd
>> ocl-icd-libopencl1
>>
>> I don't have a particular Cuda package installed. There are available
>> packages:
>>
>> libcuda1
>> libcuda1-i386
>> libcudart5.5
>> nvidia-cuda-dev
>> nvidia-cuda-doc
>> nvidia-cuda-gdb
>> nvidia-cuda-mps
>> nvidia-cuda-toolkit
>> python-pycuda
>> python-pycuda-dbg
>> python-pycuda-doc
>> python3-pycuda
>> python3-pycuda-dbg
>>
>> I'd love to get more into.
>>
>>
>> ------------------------------------------------------------------------------
>> Managing the Performance of Cloud-Based Applications
>> Take advantage of what the Cloud has to offer - Avoid Common Pitfalls.
>> Read the Whitepaper.
>>
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>>
>
>
>
> ------------------------------------------------------------------------------
> Managing the Performance of Cloud-Based Applications
> Take advantage of what the Cloud has to offer - Avoid Common Pitfalls.
> Read the Whitepaper.
>
> http://pubads.g.doubleclick.net/gampad/clk?id=121051231&iu=/4140/ostg.clktrk
> _______________________________________________
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>
>
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