Introduction to High Performance Computing
by Jan Thorbecke
*Please note: This course is not available for in-house training.
Duration: Two days
Intended Audience: Entry and Intermediate levels
Prerequisites (Knowledge/Experience/Education Required): Familiarity with numerical methods in scientific computing and linear algebra. Some experience in running scientific calculations on a computer (e.g. MATLAB, Seismic Unix). No Unix/Linux skills are required. MSc (last year) and PhD level.
This course is set up to teach participants the basic principles of high-performing computing under a Linux operating system. The hardware architecture of a computer, and how this hardware can restrict the performance of an application, is explained in detail. Style rules to develop readable code, how to use compilers and make files, and writing efficient code is illustrated with examples and general rules. The role of the operating system is explained and some useful commands for the bash shell are shown during the course. The latest hardware to solve scientific problems and future trends in computer architecture are discussed. The concept of parallel programming is explained and common pitfalls and guidelines are given. Software optimization and parallelization strategies (OpenMP and MPI) for standard CPU's are explained. Hands-on exercises (also as home-work or class exercise) are used to clarify problems and concepts.
During the course we will start with discussions about hardware solutions for compute problems. Going from this hardware basis we go to the operating system advance to the programming environment and end with the system users. During this bottom up approach we will touch all aspects which are of importantance for writing efficient (parallel) programs.
Teaching methods: Lecture, discussion and in-class exercises.