[Bug middle-end/40028] RFE - Add GPU acceleration library to gcc
https://gcc.gnu.org/bugzilla/show_bug.cgi?id=40028 --- Comment #5 from Andrew Pinski --- GCC supports offloading to some GPUs now. I don't know if this enough to close this bug though. It has support this feature for a few years now too.
[Bug middle-end/40028] RFE - Add GPU acceleration library to gcc
--- Comment #4 from rob1weld at aol dot com 2009-10-07 11:21 --- (In reply to comment #1) Yes GPU libraries would be nice but this needs a lot of work to begin with. First you have to support the GPUs. This also amounts to doubling the support. If you really want them, since this is open source, start contributing. Here is a contribution from my buds at NVidia ... Quote from the Article: ... support for native execution of C++. For the first time in history, a GPU can run C++ code with no major issues or performance penalties ... nVidia GT300's Fermi architecture unveiled: 512 cores, up to 6GB GDDR5 http://www.brightsideofnews.com/news/2009/9/30/nvidia-gt300s-fermi-architecture-unveiled-512-cores2c-up-to-6gb-gddr5.aspx That should be more than 3/4 of the job done; only took 6 months. Rob -- http://gcc.gnu.org/bugzilla/show_bug.cgi?id=40028
[Bug middle-end/40028] RFE - Add GPU acceleration library to gcc
--- Comment #3 from rob1weld at aol dot com 2009-05-20 13:10 --- Some of the newest cards will run at over a PetaFLOP ... I meant a TeraFLOP :( . -- http://gcc.gnu.org/bugzilla/show_bug.cgi?id=40028
[Bug middle-end/40028] RFE - Add GPU acceleration library to gcc
--- Comment #2 from rob1weld at aol dot com 2009-05-18 17:36 --- (In reply to comment #1) Yes GPU libraries would be nice but this needs a lot of work to begin with. First you have to support the GPUs. This also amounts to doubling the support. If you really want them, since this is open source, start contributing. I'm planning a full hardware upgrade in the coming months. I plan to get an expensive Graphics Card to try this. Some of the newest cards will run at over a PetaFLOP (only for embarrassingly parallel code - http://en.wikipedia.org/wiki/Embarrassingly_parallel ). Some of the newest Motherboards will accept _FOUR_ Graphics Cards. It seems less expensive to use GPUs and recompile a few apps than trying to purchase a Motherboard with multiple CPUs or trying to find a chip faster than the 'i7'. If we could only double our Computer's speed this endeavor would be well worth doing. I suspect that Fortran's vector math could be easily converted and benefit greatly. Look for this feature in gcc in a few years (Sooner with everyone's help). Rob -- http://gcc.gnu.org/bugzilla/show_bug.cgi?id=40028
[Bug middle-end/40028] RFE - Add GPU acceleration library to gcc
--- Comment #1 from pinskia at gcc dot gnu dot org 2009-05-05 16:25 --- Yes GPU libraries would be nice but this needs a lot of work to begin with. First you have to support the GPUs. This also amounts to doubling the support. If you really want them, since this is open source, start contributing. -- http://gcc.gnu.org/bugzilla/show_bug.cgi?id=40028
