Fifth Computational and Data Science school for HEP (CoDaS-HEP 2023)

Material Package

Added Since

Include only attachments uploaded after this date

Include*

Everything

Specific sessions

Specific contributions

Specific days

Sessions*

Morning Session

Morning Session

Closing Session

Include materials from selected sessions

Contributions*

Closing Session

Collaborative Software Development with Git(Hub)

Columnar Data Analysis

Columnar Data Analysis

Floating Point Arithmetic Is Not Real

Group Photo - Jadwin Hall plaza

Introduction to Performance Tuning & Optimization Tools

Machine Learning: Convolutional Neural Networks and Autoencoders

Machine Learning: Introduction to Machine Learning

Machine Learning: Permutation Invarience

Machine Learning: Supervised Deep Learning

Parallel Programming - An introduction to parallel computing with OpenMP

Parallel Programming - The OpenMP Common Core

Parallel Programming - The world beyond OpenMP

Parallel Programming - Working with OpenMP

Parallelized Track Reconstruction for the LHC: the mkFit Project

Performance Case Study: the mkFit Particle Tracking Code

The Scientific Python Ecosystem

The Scientific Python Ecosystem

The Use and Abuse of Random Numbers

Things you didn't know you needed

Vector Parallelism on Multi-Core Processors

Vector Parallelism on Multi-Core Processors (continued)

Welcome and Overview

What Every Computational Physicist Should Know About Computer Architecture

Include materials from selected contributions

Events scheduled on*

17/07/2023

18/07/2023

19/07/2023

20/07/2023

21/07/2023

Include materials from sessions/contributions scheduled on the selected dates