Exascale computing — the ability to perform calculations at 1 billion billion per second — is what researchers are striving to push processors to do in the next decade. That’s 1,000 times faster than ...
image: RUDN University mathematician and his colleagues from France and Hungary developed an algorithm for parallel computing, which allows solving applied problems, such as electrodynamics or ...
In this video from the Switzerland HPC Conference, Torsten Hoefler from ETH Zurich presents: dCUDA – Distributed GPU Computing with Hardware Overlap. “Over the last decade, CUDA and the underlying GPU ...
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