# Is it there a way to find where the deadlock is while using jupyter?

**URL:** <https://discourse.julialang.org/t/is-it-there-a-way-to-find-where-the-deadlock-is-while-using-jupyter/77563>\
**Category:** New to Julia\
**Tags:** question\
**Created:** [March 8, 2022, 3:59am UTC](https://discourse.julialang.org/t/is-it-there-a-way-to-find-where-the-deadlock-is-while-using-jupyter/77563 "2022-03-08T03:59:45Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![Brian1](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/brian1/32/49250_2.png) [@Brian1](https://discourse.julialang.org/u/Brian1)\
**Post date:** [March 8, 2022, 3:59am UTC](https://discourse.julialang.org/t/is-it-there-a-way-to-find-where-the-deadlock-is-while-using-jupyter/77563/1 "2022-03-08T03:59:45Z")

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I am using multithreads in jupyter, but often some deadlocks were triggered. When this happened, the jupyter kernel is just keep running and no error message printed, so I have to restart the kernel. After that, I have no message about the deadlocks.  
So is it there a way I can find the deadlock infomation when using jupyter?