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Fixed "multit-threaded" --> "multi-threaded" (#14236)

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Ryan Sander 2021-02-21 22:25:51 -05:00 • committed by GitHub
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doc/source/configure.rst
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@ -58,7 +58,7 @@ If using the command line, connect to the Ray cluster as follow:
Ray sets the environment variable ``OMP_NUM_THREADS=1`` by default. This is done Ray sets the environment variable ``OMP_NUM_THREADS=1`` by default. This is done
to avoid performance degradation with many workers (issue #6998). You can to avoid performance degradation with many workers (issue #6998). You can
override this by explicitly setting ``OMP_NUM_THREADS``. ``OMP_NUM_THREADS`` is commonly override this by explicitly setting ``OMP_NUM_THREADS``. ``OMP_NUM_THREADS`` is commonly
used in numpy, PyTorch, and Tensorflow to perform multit-threaded linear algebra. used in numpy, PyTorch, and Tensorflow to perform multi-threaded linear algebra.
In multi-worker setting, we want one thread per worker instead of many threads In multi-worker setting, we want one thread per worker instead of many threads
per worker to avoid contention. Some other libraries may have their own way to configure per worker to avoid contention. Some other libraries may have their own way to configure
parallelism. For example, if you're using OpenCV, you should manually set the number of parallelism. For example, if you're using OpenCV, you should manually set the number of