On 2/1/2010 7:24 AM, richard.wa...@comcast.net wrote:
Coming in on this late, but to reduce this work load there is PGI's version 10.0 compiler suite which supports accelerator compiler directives. This will reduce the coding effort, but probably suffer from the classical "if it is easy, it won't perform as well" trade-off. My experience is limited, but a nice intro can be found at:
I'm not sure how much traction such a thing will get. Let's say you have a big Fortran program that you want to port to CUDA. Let's assume you already know where the program spends its time, so you know which routines are good candidates for running on the GPU. Rather than rewriting the whole program in C[++], wouldn't it be easiest to leave all the non-CUDA parts of the program in Fortran, and then to call CUDA routines written in C[++]. Since the CUDA routines will have to be rewritten anyway, why write them in a language which would require purchasing yet another compiler? Cordially, -- Jon Forrest Research Computing Support College of Chemistry 173 Tan Hall University of California Berkeley Berkeley, CA 94720-1460 510-643-1032 jlforr...@berkeley.edu _______________________________________________ Beowulf mailing list, Beowulf@beowulf.org sponsored by Penguin Computing To change your subscription (digest mode or unsubscribe) visit http://www.beowulf.org/mailman/listinfo/beowulf
