Am Samstag, 5. Oktober 2013 schrieb Patrick Shanahan:
> * Ochal Christophe <[email protected]> [10-05-13 14:42]:
> > On 2013-10-05 20:32, Tobias Ellinghaus wrote:
> > > Am Samstag, 5. Oktober 2013, 19:44:37 schrieb Ochal Christophe:
> > >
> > > [...]
> > >
> > >> My desktop consists of an i7 with 16GB ram, NVidia card, mSATA SSD
> > >> (boot disk) and 2 large SATA drives in mirroring mode and it still
> > >> takes 15 to 30 seconds to process an image from my Nikon D00
> > >
> > > Is that for exporting or clicking around in darkroom mode?
> >
> > Exporting, I'd go nuts otherwise :D
>
> odd, my i7 w/12gb and system on ssd w/2 large sata drives @ raid 1 takes
> 5-6 sec's per image and *most* images are 24mb/raw from D7100. Images
> from my 12mb/raw D3 take 3-5 sec's.
> > But since I usually process 600-1500 images at a time and export at the
> end, export time makes little difference to me as I usually walk away or
> do something else in the mean tine.
>
> Still intending expanding ram to 24mb in the very near future. I believe
> the amount of ram on your video card is a large determinator re speed.
So for my setup (i7 2600; 16 GB RAM; GeForce GT 640 2 GB RAM with nivida-
driver 325.15; no SSD; Pentax K5 DNG) it take from 2 to 3 sec's. 15-20 sec's
with denoising.
Half a year ago I replaced my nvidia card (512 MB) with a the GT 640 (2024 MB)
to get OpenCL working, but OpenCL is slower than CPU only in my case. Also X11
is not responsive during export with OpenCL enable. I tried different setting
as suggest, but with no big changes.
Without OpenCl: [dev_process_export] pixel pipeline processing took 13.919
secs (89.910 CPU)
With OpenCL[dev_process_export] pixel pipeline processing took 24.525 secs
(17.977 CPU)
Export time heavily depends on the applied image settings/modules. To compare
different setups a kind of benchmark - same RAW and process - should be done.
I would take:
- 16 GB RAM
- i7 CPU
- recent nvidia card with 2 GB RAM
- SSD for the system
- 2x2TB drives with RAID 1
All the best,
Christian
chri@chk64:~$ darktable -d opencl -d perf
[opencl_init] device 0 `GeForce GT 640' has sm_20 support.
[opencl_init] device 0 `GeForce GT 640' supports image sizes of 32768 x 32768
[opencl_init] device 0 `GeForce GT 640' allows GPU memory allocations of up to
511MB
[opencl_init] device 0: GeForce GT 640
GLOBAL_MEM_SIZE: 2047MB
MAX_WORK_GROUP_SIZE: 1024
MAX_WORK_ITEM_DIMENSIONS: 3
MAX_WORK_ITEM_SIZES: [ 1024 1024 64 ]
DRIVER_VERSION: 325.15
DEVICE_VERSION: OpenCL 1.1 CUDA
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