E@H on a GPU

SETI@home project was together with NVIDIA working on this feature, but the progress didn't look good.

They got the FFT to run on the NVIDIA chip, but not very fast: only about 1/4 the speed of the CPU. Problem seems to be the slow speed of moving data from GPU memory back to main memory.

So to use the GPU efficiently they need to do ALL the analysis (not just the FFT) on the GPU, but this will require better high-level-language support.

Possible the 'Brook' (a GPU language being developed at Stanford) project will help here in the future.