Hei Christian thanks for your response and the explicit list of components!
However, I have a question: On So, 2013-10-06 at 00:04 +0200, Christian Kanzian wrote: > Am Samstag, 5. Oktober 2013 schrieb Patrick Shanahan: > > * Ochal Christophe <[email protected]> [10-05-13 14:42]: > > > > 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) this is sort of worrying: why would you want to invest in a graphics card if using it (OpenCL) is slower than using the onboard i7 graphics? > > I would take: > - 16 GB RAM > - i7 CPU > - recent nvidia card with 2 GB RAM > - SSD for the system > - 2x2TB drives with RAID 1 greetings Eildert > > 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 > > ------------------------------------------------------------------------------ > October Webinars: Code for Performance > Free Intel webinars can help you accelerate application performance. > Explore tips for MPI, OpenMP, advanced profiling, and more. Get the most from > the latest Intel processors and coprocessors. See abstracts and register > > http://pubads.g.doubleclick.net/gampad/clk?id=60134791&iu=/4140/ostg.clktrk > _______________________________________________ > Darktable-users mailing list > [email protected] > https://lists.sourceforge.net/lists/listinfo/darktable-users -- Eildert Groeneveld =================================================== Institute of Farm Animal Genetics (FLI) Mariensee 31535 Neustadt Germany Tel : (+49)(0)5034 871155 Fax : (+49)(0)5034 871143 e-mail: [email protected] web: http://vce.tzv.fal.de ================================================== ------------------------------------------------------------------------------ October Webinars: Code for Performance Free Intel webinars can help you accelerate application performance. Explore tips for MPI, OpenMP, advanced profiling, and more. Get the most from the latest Intel processors and coprocessors. See abstracts and register > http://pubads.g.doubleclick.net/gampad/clk?id=60134791&iu=/4140/ostg.clktrk _______________________________________________ Darktable-users mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/darktable-users
