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Things have improved in the OpenCL space, and they will continue to improve for the foreseeable future. ironically, it's apple have the worst runtime (but even that isn't so bad). I don't know what problems you run into specifically, but most of the runtimes are definitely of usable quality. > OpenCL is better than nothing, but even if the implementations were of usable quality it's called the Xeon Phi (and it isn't exactly great.)ДЄMD have a well deserved reputation, but things aren't that bad now. > And what Intel's Larrabee would have enabled. They don't need to, LLVM-SPIR is supposed to enable this - compile kernels to IR and let the runtime JIT it into the GPUs required binary. > If they'd only exposed the processors directly and worked to unify behind a common compiler frontend. It's fragmented, true, but it's not that bad. > The entire GPU programming landscape is so fragmented and unapproachable now.

The situation pretty much guarantees GPU computing stays in the fringes for the foreseeable future. OpenCL is better than nothing, but even if the implementations were of usable quality, it's not a good compiler target for higher level languages and it's not a good language to write by hand. This is passable for a narrow sector of activities that can tolerate vendor lock-in (Cuda), like short lived HPC projects.ДЄll this has resulted in lack of open GPU programming languages.

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The comically bad software from AMD and lack of hardware oomph from Intel means the only option is to require NVidia and build on their software support. And what Intel's Larrabee would have enabled.)Д®ven if you disregard the licensing, the union of NV + AMD + Intel capabilities (software stacks included) is so weak that it almost never worth the effort. (This is what Apple has done with Metal Shading Language btw, minus the open source part. This would enable development of new cross-vendor GPU languages to compete with the ailing OpenCL.

Imagine a world where a good GPGPU language was a standard GCC/LLVM frontend and all the GPU vendors worked in harmony to improve their back-ends in the upstream compiler. If they'd only exposed the processors directly and worked to unify behind a common compiler frontend. The entire GPU programming landscape is so fragmented and unapproachable now. I reiterate Linus Torvalds's well-known sentiments against nvidia. I am also unhappy that nvidia is luring users to use non-free software, acting against our goals. Personally, as a GNU Octave developer, I am very unhappy that nvidia is using Octave to advertise its hardware and non-free drivers. We consider the Octave C++ API to fall well under the domain of the GPL's copyleft. Note also that because the GPU libraries are not a system library as defined by the GPL (they are not shipped with the OS), you can't even distribute GPU-accelerated Octave object code. I know that nobody wants to even think that this problem exists and even fewer people want to fix Clover because it's such a difficult task, but it's a task that we can't ignore. Indeed, it is this very freedom that nvidia is abusing here to accelerate Octave's BLAS libraries, a task that would be much more difficult with Matlab, where they don't have the source code. If we don't emphasise software freedom, then there is no need for Octave, since we already have Matlab.

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This works against Octave's goal, to provide a free alternative to Matlab, one that lets you understand and control your computations down to the hardware level. Running to tie Octave to flashy features like GPU acceleration without first pausing to fix the initial problem of non-free GPU acceleration is putting the horse before the cart. GNU's purpose is to ensure that you can use free software. I think I've heard of some free CUDA implementations that were in similar embryonic stages. There is no OpenCL free implementation that I know of either, except Clover, but it currently merely translates the OpenCL to run on the CPU instead of the GPU.

Publications using Octave - A compilation of scientific publications making reference to GNU Octave (add yours!).Sigh, I wish people would address the problem here that nvidia's CUDA runtime is non-free.

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