Metoder inom högprestandaberäkningar

DD2356 - Methods in High-Performance Computing

What is this Course About?

• Making effective use of the most powerful parallel supercomputers for problems in science and engineering
• Doing this requires paying attention to every part of the parallel system
• It also requires a scientific and rigorous approach to performance

Course Goals

• Understand the sources of performance in modern architectures
• How to establish performance expectations
• How to diagnose performance problems
• How to design algorithms and applications to maximize performance potential
• How to exploit parallelism at all levels

Intended Learning Outcomes

At the end of this course, you will be able to:

• Describe and list HPC architecture design choices and features
• Connect to the supercomputers, build and run codes on multicore systems and clusters
• Use HPC tools to measure and analyze the performance of computer codes running on supercomputers
• Design, implement and optimize a parallel engineering application for HPC systems using OpenMP and MPI

Prerequisites

• Knowledge of Linux (Supercomputers have Linux OS)
• Knowledge of C/C++ or Fortran - Assignments are in C/C++ though
• Knowledge of command line editors (emacs, vi, ...)

• DD2358 - Introduction to High-Performance Computing is not a requirement but it is extremely beneficial to this course

Course Structure

• Pre-recorded video lectures
• In-person lectures
• Assignments
• Quizzes
• Final project