On Sat, Feb 03, 2024 at 02:37:05PM +0100, Richard Biener wrote: > > > Am 03.02.2024 um 01:22 schrieb Steve Kargl > > <s...@troutmask.apl.washington.edu>: > > > > All, > > > > Suppose one is working in a funding-constrained environment > > such as an academician with limited grant funding. If one > > wanted to dabble in GPU offloading with gcc/gfortran, what > > recommendations would one have for minimum required hardware? > > In addition, are there any vendor software layers that are > > required (such as AMD ROCm with an AMD GPU)? > > You need the HSA runtime for AMD which comes with ROCm and libcuda > for NvIDIA which comes with CUDA.
Thanks. I'll need to check the level of support for the above in FreeBSD. I suspect it's non-existent, so looks like I'll take a plunge down the linux rabbit hole. > I’ve had success getting both a very low end gtx1650 and a high > end rx6900xt running with simple offloading. The officially supported > set of hardware is way bigger with CUDA when it comes to lower end cards. > > I can’t say anything about performance with regard to how GCC handles both. > > Note that double precision math performance is said to be severely > constrained for consumer hardware. Ah, good point. I'll need to find a card I can afford that supports double precision. -- steve > > Richard > > > > > -- > > Steve -- Steve
