YoVDO

Ganga - An Interface to the LHC Computing Grid

Offered By: EuroPython Conference via YouTube

Tags

EuroPython Courses Data Analysis Courses Python Courses Particle Physics Courses High Performance Computing Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the world of high-energy physics computing in this 24-minute EuroPython Conference talk. Dive into Ganga, a Python-based tool designed for CERN's particle physics experiments, providing a user-friendly interface for thousands of physicists to access vast computing resources. Learn how Ganga simplifies data analysis tasks, enabling seamless distribution across local machines and global computing centers. Discover the challenges faced by physicists in managing complex computer infrastructure and how Ganga addresses these issues. Gain insights into the advanced Python features, such as metaclasses and IPython integration, that power this innovative tool. Understand the intricacies of handling large files, job objects, and persistent databases in the context of particle physics research. Engage with topics like project management, output file handling, and communication strategies within the scientific community.

Syllabus

Introduction
Ganga
The Grid
Project Ganga
Ganga Software
Output files
Thea
Splitting files
Root merger
Persistent database
Job object
Large files
Questions
List comprehension
Communication
Users


Taught by

EuroPython Conference

Related Courses

High Performance Computing
Georgia Institute of Technology via Udacity
Введение в параллельное программирование с использованием OpenMP и MPI
Tomsk State University via Coursera
High Performance Computing in the Cloud
Dublin City University via FutureLearn
Production Machine Learning Systems
Google Cloud via Coursera
LAFF-On Programming for High Performance
The University of Texas at Austin via edX