JupyterLab C++ ROOT

ATLAS Software
1

JupyterLab C++ ROOT does not suport multicore. Passing 10fb to 39fb very long to run with labtop

More events less speed to run

2

Hi @guest_bernard.chaura ,

What were you running exactly? There are a handful of ways to parallelize to speed things up if you would like to.

Best,
Zach

3

C++ Root in jupyterlab are used to run four C++ analysis . have you example of prallel analysis in Docker and jupyterlab

4

Hi @guest_bernard.chaura ,

Sure! In our November tutorial we included a lesson on using RDataFrame, which supports multi-threading for analysis and which runs in a notebook. This particular one used pythonic ROOT, but it is straightforward to translate the same into C++, since it’s “native” ROOT:

Cheers,
Zach