November 2018
Intermediate to advanced
310 pages
7h 54m
English
Content preview from Hands-On GPU Programming with Python and CUDA
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Cluster computing and MPI
Another topic is cluster computing, that is, writing programs that make collective use of a multitude of servers containing GPUs. These are the server farms that populate the data-processing facilities of well-known internet companies such as Facebook and Google, as well as the scientific supercomputing facilities used by governments and militaries. Clusters are generally programmed with a programming paradigm called message-passing interface (MPI), which is an interface used with languages such as C++ or Fortran that allows you to program many computers that are connected to the same network.
More information about using CUDA with MPI is available here: https://devblogs.nvidia.com/introduction-cuda-aware-mpi/.
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