#Will opengl 4.3 cars support vulkan drivers#

Therefore, everything you do in it has to be formulated along those terms.

What features make OpenCL unique to choose over OpenGL with GLSL for calculations? Despite the graphic related terminology and inpractical datatypes, is there any real caveat to OpenGL? If wide cross platform compatibility from a single code base is a goal then OpenGL may be forced upon you. While OpenGL is supported pretty much everywhere, OpenCL is totally lacking support on mobile devices and, imho, is highly unlikely to appear on Android or iOS in the next few years. If not, OpenCL is more general and simpler to express compute problems.ДЄnother point to mention (or to ask) is whether you are writing as a hobbyist (i.e. My advice would be that if your compute program feels like it maps nicely to the graphics domain then use OpenGL.

#Will opengl 4.3 cars support vulkan drivers#

(aside: I suspect this is due to years of hardware and drivers being specifically tuned to graphics orientated workloads.) The OpenGL implementations invariably run faster even after hardcore OpenCL kernel optimization. My specific experience of this has been doing image filter (gather) kernels across AMD, nVidia, IMG and Qualcomm GPUs. no scattered writes, no local memory, no workgroups, etc.) it will very often run faster than an OpenCL counterpart. If your algorithm can be expressed in OpenGL graphics (e.g. Something that hasn't been mentioned in any answers so far has been speed of execution.