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Delayed processing of Vector / Matrix expression in Julia with various backends (Julia,CUDA-PTX,...)
Should allow runtime changes to thread count
Should allow backend context definition of LLVM optimization steps.
Shall be used to generate NVIDIA kernels via NVPTX.
Could be used to generate x86 kernels that could be run in a simple C lib for multithreading
Should/Can this be used with JIT? Or do we just use the runtime interface to kick off new kernels?
I'm interested in experimenting with and improving the libcuda bindings here, but my experiments won't necessarily use the delayed matrix stuff. I think the libcuda bindings could be separated from the "front end" stuff, and this would also help in experimenting with using the bindings with other possible "frontends" for GPU computing.
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