With the release of the next generation of GPUs, NVIDIA and AMD (former ATI) graphic boards deliver now performance in the order of one teraflop in single precision accuracy. NVIDIA nearly doubled both the count of processors and the memory bus width. Interesting for research is now, how the sustainable performance of programs and algorithms scales with the new platform.
Until now I was not able to test my own algorithms, the Streambenchmarks and the lattice Boltzmann method (see my Thesis for more details ), on the new NVIDIA GPUs.
Double precision also made its way into the GPU circuits, unfortunately with a huge performance loss to around a tenth of single precision performance.
In contrast to that current CPUs lose only about 50% of performance, which comes obvious from the doubled computational work.
Here a little demonstration about the key difference between CPU and GPU NVISION
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