This course covers techniques for improving the performance of parallel applications by optimising of the code that runs within each node.
Modern HPC systems such as ARCHER2 are being constructed using increasingly powerful nodes, with larger and larger numbers of cores and enhanced vector capabilities. To extract maximum performance from applications, it is therefore necessary to understand, and be able to overcome, on-node performance bottlenecks. This course will cover the main features of modern HPC nodes, including multiple cores, vector floating point units, deep cache hierarchies, and NUMA memory systems. We will cover techniques for efficient programming of these features, using batch processing options and compiler options as well as hand tuning of code. The course will also contain an introduction to the use of Cray performance analysis tools.