Difference between revisions of "Matlab workers"
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=Find out the number of cores in a system = | =Find out the number of cores in a system = | ||
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| + | == Trough Dynamo == | ||
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| + | In general, the most reliable way is to u | ||
| + | |||
| + | <nowiki> >> feature('numcores') | ||
| + | MATLAB detected: 2 physical cores. | ||
| + | MATLAB detected: 4 logical cores. | ||
| + | MATLAB was assigned: 4 logical cores by the OS. | ||
| + | MATLAB is using: 2 logical cores. | ||
| + | MATLAB is not using all logical cores because hyper-threading is enabled. </nowiki> | ||
| + | |||
== In Linux == | == In Linux == | ||
Revision as of 15:51, 6 October 2017
In the Matlab jargon, matlab workers represent threads used by Matlab (or the MCR libraries when using the Dynamo standalone) when a computation is launched in parallel modus on a single node. A parallel computation in Dynamo should not use more matlab workers than the number of physical cores available in your system.
Find out the number of cores in a system
Trough Dynamo
In general, the most reliable way is to u
>> feature('numcores')
MATLAB detected: 2 physical cores.
MATLAB detected: 4 logical cores.
MATLAB was assigned: 4 logical cores by the OS.
MATLAB is using: 2 logical cores.
MATLAB is not using all logical cores because hyper-threading is enabled.
In Linux
In the system terminal, write:
cat /proc/cpuinfo | egrep "core id|physical id" | tr -d "\n" | sed s/physical/\\nphysical/g | grep -v ^$ | sort | uniq | wc -l
In the Mac
In the system terminal, write:
sysctl -a | grep machdep.cpu | grep core_count
sysctl -a | grep machdep.cpu | grep thread_count