![]() ![]() Typical use case: processing high megapixel images. ![]() This is especially true when you want to repeat the same few processing steps millions of times. You are not a gamer and you don’t take advantage of that power? Well, then you should at least use it in darktable! For the task of highly parallel floating point calculations modern GPUs are much faster than CPUs. The result is modern graphics cards with highly parallelized GPUs that can quickly calculate surfaces and textures at high frame rates. AMD, NVIDIA and Co had to put enormous processing power into their GPUs to meet these demands. Gamers’ demand for highly detailed 3D worlds in modern shooters (as well as cryptocurrency mining) has fostered rapid GPU development. OpenCL allows darktable to take advantage of the enormous power of modern graphics cards. However, there are conditions and certain modules where you will feel (or hear from the howling of your CPU fan) how much your poor multi-core processor has to struggle. If you run a current version of darktable on a modern computer, you might not notice any “slowness”. This is slower than “ordinary” 8 or 16 bit integer algebra, but eliminates all problems of tonal breaks or loss of information.Ī great deal of optimization has been undertaken to make darktable as fast as possible. All calculations are performed on 4 x 32bit floating point numbers. Hardware RAM: 4 GB / 8 GB CPU: Intel Pentium 4 (Core 2 for Windows) / Intel Core i5 4×2.4 GHz GPU: none / Nvidia with 1024 CUDA cores, 4 GB, OpenCL 1.2. In terms of both memory and CPU power, getting the best out of a typical 15, 20 or 25 Megapixel image can quickly take your computer to its limits.ĭarktable’s requirements are no exception. Processing high resolution images is a demanding task requiring a modern computer. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |