Double precision floating point (DPFP) operations are critical for scientific programming.
The Nvidia GT 750 M card on the 15" Macbook Pro retina has poor support for DPFP operations. It is difficult to run a basic CUDA case (Note : DPFP operations) on the GT 750M.
The Nvidia 750 M card offers about 21 Gflops while the host i7 on the 15" Macbook pro offers 120 Gflops. See http://tinyurl.com/cuda-on-mac for details.
It would of great help if some forum members could suggest ways to boost it's DPFP performance just for development purposes (i.e. check speed up, debug a test case etc.).
The Nvidia GT 750 M card on the 15" Macbook Pro retina has poor support for DPFP operations. It is difficult to run a basic CUDA case (Note : DPFP operations) on the GT 750M.
The Nvidia 750 M card offers about 21 Gflops while the host i7 on the 15" Macbook pro offers 120 Gflops. See http://tinyurl.com/cuda-on-mac for details.
It would of great help if some forum members could suggest ways to boost it's DPFP performance just for development purposes (i.e. check speed up, debug a test case etc.).
