Processing high resolution images is a demanding task requiring a modern computer. 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.
Ansel’s requirements are no exception. All calculations are performed on 4 x 32bit floating point numbers. This is slower than “ordinary” 8 or 16 bit integer algebra, but eliminates all problems of tonal breaks or loss of information.
A great deal of optimization has been undertaken to make Ansel as fast as possible. If you run a current version of Ansel on a modern computer, you might not notice any “slowness”. 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.
That’s where OpenCL comes in. OpenCL allows Ansel to take advantage of the enormous power of modern graphics cards. Gamers’ demand for highly detailed 3D worlds in modern shooters (as well as cryptocurrency mining) has fostered rapid GPU development. AMD, NVIDIA and Co had to put enormous processing power into their GPUs to meet these demands. The result is modern graphics cards with highly parallelized GPUs that can quickly calculate surfaces and textures at high frame rates.
You are not a gamer and you don’t take advantage of that power? Well, then you should at least use it in Ansel! For the task of highly parallel floating point calculations modern GPUs are much faster than CPUs. This is especially true when you want to repeat the same few processing steps millions of times. Typical use case: processing high megapixel images.