By default Julia uses just a single process. To start Julia with multiple processors from the command line using julia -p n. If you are not using Julia from the command you can use addprocs n from inside Julia. In both cases n is the number of processes to spawn. In general you want to spawn a number of processes equal to the number of cores in your processor. The lower level functions for parallel processing are remotecall p, fn,
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A high-level, high-performance dynamic programming language for technical computing. Stacks What is Julia? Julia is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library.
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Most modern computers possess more than one CPU, and several computers can be combined together in a cluster. Harnessing the power of these multiple CPUs allows many computations to be completed more quickly. There are two major factors that influence performance: the speed of the CPUs themselves, and the speed of their access to memory.
For example, Beowulf clusters are supported via a custom cluster manager implemented in the package ClusterManagers. To launch workers without blocking the REPL, or the containing function if launching workers programmatically, execute addprocs in its own task. Add processes on remote machines via SSH. Requires julia to be installed in the same location on each node, or to be available via a shared file system.
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