Computing techniques

2020/06/18 by Xavier Buffat, Buffat, X.
Computer Science · #Accelerator Physics (physics.acc-ph) #Computational Physics (physics.comp-ph) #Distributed #FOS: Computer and information sciences #FOS: Physical sciences #Parallel #Parallel Computing and Optimization Techniques #and Cluster Computing (cs.DC)

paper · pdf · doi:10.48550/arxiv.2006.10664

openalex publication_date 2020/06/18 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

This lecture aims at providing a user's perspective on the main concepts used nowadays for the implementation of numerical algorithm on common computing architecture. In particular, the concepts and applications of Central Processing Units (CPUs), vectorisation, multithreading, hyperthreading and Graphical Processing Units (GPUs), as well as computer clusters and grid computing will be discussed. Few examples of source codes illustrating the usage of these technologies are provided.

Related

• Fundamentals of Computing
• Lectures on Parallel Computing
• Machines and Algorithms
• Numerical Algorithmic Science and Engineering within Computer Science: Rationale, Foundations and Organization
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