How is Fortran coming along with GPUs? (last I looked it was being done with proprietary compiler language extensions, but that was a while ago)
Are modern supercomputers faster than a cluster of consumer-grade GPU cards?
Are modern supercomputers faster than a cluster of consumer-grade GPU cards?
There is support for CUDA in Fortran. In fact, Nvidia purchased one of the main Fortran compiler vendors (PGI) and is open sourcing their compiler as flang.
CUDA is the predominant GPU programming model in the HPC space. There are open standards, but they are nowhere nearly as widely used.
> Are modern supercomputers faster than a cluster of consumer-grade GPU cards?
Fundamentally, supercomputers use the same processors and GPUs that you find in consumer hardware. The differences tend to lie in A) the sheer quantity of hardware used (think millions of cores for Top 10 systems), B) high bandwidth, low latency interconnects and C) some market segmentation by hardware vendors (e.g. Nvidia deliberately limits the double-float performance of consumer hardware)
On the top500 list, #1 does 400,000 TFlop/s, #500 does 1000 TFlop/s. How much would the kind of GPU cluster you're thinking of do?