From the 1 of 5 linked papers with an AI index.
5 papers
Advancing Awkward Arrays for High-Performance CPU and GPU Processing
Ianna Osborne, Manasvi Goyal
The paper describes recent enhancements to the Awkward Array Python library that enable efficient GPU processing of nested, variable‑length data using CUDA and NVIDIA's core comput…
PyHEP.dev 2024 Workshop Summary Report, August 26-30 2024, Aachen, Germany
Azzah Alshehri, Jan Bürger, Saransh Chopra +28
The second PyHEP.dev workshop, part of the "Python in HEP Developers" series organized by the HEP Software Foundation (HSF), took place in Aachen, Germany, from August 26 to 30, 20…
Describe Data to get Science-Data-Ready Tooling: Awkward as a Target for Kaitai Struct YAML
Manasvi Goyal, Andrea Zonca, Amy Roberts +2
In some fields, scientific data formats differ across experiments due to specialized hardware and data acquisition systems. Researchers need to develop, document, and maintain expe…
The Awkward World of Python and C++
Manasvi Goyal, Ianna Osborne, Jim Pivarski
There are undeniable benefits of binding Python and C++ to take advantage of the best features of both languages. This is especially relevant to the HEP and other scientific commun…
Bridging Worlds: Achieving Language Interoperability between Julia and Python in Scientific Computing
Ianna Osborne, Jim Pivarski, Jerry Ling
In the realm of scientific computing, both Julia and Python have established themselves as powerful tools. Within the context of High Energy Physics (HEP) data analysis, Python has…