Indico has been updated to v3.3. See our blog post for details on this release. (OTG0146394)

Nov 6 – 9, 2023
ECAP (Erlangen Centre for Astroparticle Physics)
Europe/Zurich timezone

An Awkward module for round-tripping data structures between Python and Julia

Nov 8, 2023, 11:00 AM
15m
ECAP (Erlangen Centre for Astroparticle Physics)

ECAP (Erlangen Centre for Astroparticle Physics)

Nikolaus-Fiebiger-Straße 2 91058 Erlangen Germany
Light talk - 10min

Speaker

Ianna Osborne (Princeton University)

Description

Both Julia and Python have a strong presence in the sciences. In a typical HEP data analysis process Python is more common, however, there is an obvious advantage to transitioning legacy software to Julia. We discuss the sharing of Awkward Array data structures between the two worlds to encourage the Python users to run their analysis both in an eco-system of their choice and in Julia.
We discuss how the memory, the data buffer copies, and the dependencies are managed. We analyse the performance acceleration calling Julia from Python and vise versa for the intensive array-oriented calculations on a large scale, but not very large dimension arrays of HEP data.

Primary authors

Ianna Osborne (Princeton University) Jim Pivarski (Princeton University)

Presentation materials