Khronos Releases OpenCL Spec
kpesler writes "Today, the Khronos Group released the OpenCL API specification (which we discussed earlier this year). It provides an open API for executing general-purpose code kernels on GPUs — so-called GPGPU functionality. Initially bolstered by Apple, the API garnered the support of major players including NVIDIA, AMD/ATI, and Intel. Motivated by inclusion in OS X Snow Leopard, the spec was completed in record time — about half a year from the formation of the group to the ratified spec."
There's no way I'm writing a single line of CUDA code when it only works with nVidia hardware, and I think there are a lot of other people like me. This could open up GPGPU programming to a much wider group of programmers.
Now, if only they could do the same for OpenGL... Which is needed by a lot more people, and is in my opinion a lot more important for anyone who wishes to be free of Windows.
I strongly suspect that Nvidia knows that a lot of CUDA crunching boxes are going to be running linux. It's cheap, it's stable(not mainframe stable; but easily reliable enough for commodity crunching boxes), it has low overhead, and it is easy to administer. Plus, it runs on boring commodity x86 whiteboxes. I imagine that, even if they didn't support graphics acceleration on Linux, they would support CUDA.
The math co-processor wasn't made obsolete. It became so vital to system performance that Intel and friends started including it in on the CPU proper. These days, they call it an FPU.
Try out fish, the friendly interactive shell.
If the past few years is any indication, it works much better on GPUs than on CPUs.
If you mod me Overrated, you are admitting that you have no penis.
OpenCL code is a subset of c, with an API that the GPU must implement. So it will work on Cell (or any CPU) with gcc and a library implementing the API.
Do you even lift?
These aren't the 'roids you're looking for.
The two major issues to be solved with that are that you need double-precision hardware (I can't remember if the Nvidia 9000 series supports that or not) and, more importantly, you need to write GPU algorithms for solving sparse matrices.
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