# Thread- and process-based parallelisms in Transducers.jl (+ some news)

**URL:** <https://discourse.julialang.org/t/thread-and-process-based-parallelisms-in-transducers-jl-some-news/32285>\
**Category:** Package Announcements\
**Tags:** parallel, multithreading, distributed\
**Created:** [December 15, 2019, 2:39am UTC](https://discourse.julialang.org/t/thread-and-process-based-parallelisms-in-transducers-jl-some-news/32285 "2019-12-15T02:39:01Z")\
**Posts on this page:** 1\
**Showing post:** 4

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**Author:** ![tkf](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/tkf/32/17635_2.png) [@tkf](https://discourse.julialang.org/u/tkf)\
**Post date:** [January 9, 2020, 1:51am UTC](https://discourse.julialang.org/t/thread-and-process-based-parallelisms-in-transducers-jl-some-news/32285/4 "2020-01-09T01:51:11Z")

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Cross-posting:

> [@Multi-threaded worker processes](https://discourse.julialang.org/t/multi-threaded-worker-processes/33034/13):
>
> I just released a new version of Transducers.jl with a new `threads_basesize` option to [`dreduce`](https://tkf.github.io/Transducers.jl/dev/manual/#Transducers.dreduce). “Two-level” parallelism should automatically kick in if you set `JULIA_NUM_THREADS` appropriately in all workers; i.e., each worker process uses multiple threads.

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