Awesome IAmA. I'm a scientist at Harvard. I write high-performance code for your CPU's using the ICC suite.
I'm hoping that this whole GPU thing will blow-over and the Phi will deliver similar FLOPs/Dollar in shared-memory teraflop desktops without the tedious coding.
At this point do you think I can skip fiddling with GPU if I haven't already? If the Phi retains full x86 instruction sets on each core, I'm certain it can't match the power-consumption of a GPU (is that true?)...
Even so, I don't really care.... I just want my 200x speedup on DGEMM without having to do much more than usual C++ with some compiler flags. Is that going to be the way, or should I bother learning CUDA?
johnparkhill235 karma
Awesome IAmA. I'm a scientist at Harvard. I write high-performance code for your CPU's using the ICC suite.
I'm hoping that this whole GPU thing will blow-over and the Phi will deliver similar FLOPs/Dollar in shared-memory teraflop desktops without the tedious coding.
At this point do you think I can skip fiddling with GPU if I haven't already? If the Phi retains full x86 instruction sets on each core, I'm certain it can't match the power-consumption of a GPU (is that true?)... Even so, I don't really care.... I just want my 200x speedup on DGEMM without having to do much more than usual C++ with some compiler flags. Is that going to be the way, or should I bother learning CUDA?
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