First performance measurements with the Analysis Grand Challenge

Autor:	Shadura, Oksana, Held, Alexander
Rok vydání:	2023
Předmět:	High Energy Physics - Experiment Physics - Data Analysis Statistics and Probability
Druh dokumentu:	Working Paper
Popis:	The IRIS-HEP Analysis Grand Challenge (AGC) is designed to be a realistic environment for investigating how analysis methods scale to the demands of the HL-LHC. The analysis task is based on publicly available Open Data and allows for comparing the usability and performance of different approaches and implementations. It includes all relevant workflow aspects from data delivery to statistical inference. The reference implementation for the AGC analysis task is heavily based on tools from the HEP Python ecosystem. It makes use of novel pieces of cyberinfrastructure and modern analysis facilities in order to address the data processing challenges of the HL-LHC. This contribution compares multiple different analysis implementations and studies their performance. Differences between the implementations include the use of multiple data delivery mechanisms and caching setups for the analysis facilities under investigation. Comment: Submitted as proceedings for 21st International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 2022) to Journal Of Physics: Conference Series
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2304.05214 Zobrazit plný text záznamu View this record from Arxiv