cluster spanning machines using the --machine-file option. This uses a passwordless ssh login to start Julia worker processes (from the same path as the current host) on the specified machines. Each machine be guaranteed to work across different Julia versions, so it is advised that all workers on all machines use the same version. Functions addprocs, rmprocs, workers, and others are available as a programmatic function count_heads simply adds together n random bits. Here is how we can perform some trials on two machines, and add together the results: julia> @everywhere include_string(Main, $(read("count_heads.jl"

cluster spanning machines using the --machine-file option. This uses a passwordless ssh login to start Julia worker processes (from the same path as the current host) on the specified machines. Each machine be guaranteed to work across different Julia versions, so it is advised that all workers on all machines use the same version. Functions addprocs, rmprocs, workers, and others are available as a programmatic function count_heads simply adds together n random bits. Here is how we can perform some trials on two machines, and add together the results: julia> @everywhere include_string(Main, $(read("count_heads.jl"

cluster spanning machines using the --machine-file option. This uses a passwordless ssh login to start Julia worker processes (from the same path as the current host) on the specified machines. Each machine be guaranteed to work across different Julia versions, so it is advised that all workers on all machines use the same version. Functions addprocs, rmprocs, workers, and others are available as a programmatic function count_heads simply adds together n random bits. Here is how we can perform some trials on two machines, and add together the results: julia> @everywhere include_string(Main, $(read("count_heads.jl"

cluster spanning machines using the --machine-file option. This uses a passwordless ssh login to start Julia worker processes (from the same path as the current host) on the specified machines. Each machine be guaranteed to work across different Julia versions, so it is advised that all workers on all machines use the same version. Functions addprocs, rmprocs, workers, and others are available as a programmatic function count_heads simply adds together n random bits. Here is how we can perform some trials on two machines, and add together the results: julia> @everywhere include_string(Main, $(read("count_heads.jl"

cluster spanning machines using the --machine-file option. This uses a passwordless ssh login to start Julia worker processes (from the same path as the current host) on the specified machines. Each machine be guaranteed to work across different Julia versions, so it is advised that all workers on all machines use the same version. Functions addprocs, rmprocs, workers, and others are available as a programmatic function count_heads simply adds together n random bits. Here is how we can perform some trials on two machines, and add together the results: julia> @everywhere include_string(Main, $(read("count_heads.jl"

cluster spanning machines using the --machine-file option. This uses a passwordless ssh login to start Julia worker processes (from the same path as the current host) on the specified machines. Each machine function count_heads simply adds together n random bits. Here is how we can perform some trials on two machines, and add together the results: julia> @everywhere include_string(Main, $(read("count_heads.jl" calls the appropriate launch method which spawns required number of worker processes on appropriate machines. • Each worker starts listening on a free port and writes out its host and port information to

cluster spanning machines using the --machine-file option. This uses a passwordless ssh login to start Julia worker processes (from the same path as the current host) on the specified machines. Each machine be guaranteed to work across different Julia versions, so it is advised that all workers on all machines use the same version. Functions addprocs, rmprocs, workers, and others are available as a programmatic function count_heads simply adds together n random bits. Here is how we can perform some trials on two machines, and add together the results: julia> @everywhere include_string(Main, $(read("count_heads.jl"

cluster spanning machines using the --machine-file option. This uses a passwordless ssh login to start Julia worker processes (from the same path as the current host) on the specified machines. Each machine be guaranteed to work across different Julia versions, so it is advised that all workers on all machines use the same version. Functions addprocs, rmprocs, workers, and others are available as a programmatic function count_heads simply adds together n random bits. Here is how we can perform some trials on two machines, and add together the results: julia> @everywhere include_string(Main, $(read("count_heads.jl"

cluster spanning machines using the --machine-file option. This uses a passwordless ssh login to start Julia worker processes (from the same path as the current host) on the specified machines. Each machine be guaranteed to work across different Julia versions, so it is advised that all workers on all machines use the same version. Functions addprocs, rmprocs, workers, and others are available as a programmatic function count_heads simply adds together n random bits. Here is how we can perform some trials on two machines, and add together the results: julia> @everywhere include_string(Main, $(read("count_heads.jl"

cluster spanning machines using the --machine-file option. This uses a passwordless ssh login to start Julia worker processes (from the same path as the current host) on the specified machines. Each machine be guaranteed to work across different Julia versions, so it is advised that all workers on all machines use the same version. Functions addprocs, rmprocs, workers, and others are available as a programmatic function count_heads simply adds together n random bits. Here is how we can perform some trials on two machines, and add together the results: julia> @everywhere include_string(Main, $(read("count_heads.jl"