The reason for doing high-performance computing is, well, high performance - but is your application as good as it can get, in terms of performance? Watch this webinar series and you will have an answer to that - hopefully together with some ideas on how to improve the observed shortcomings.

In the first part, we will discuss some general considerations related to application performance, followed by a walkthrough on how to profile and analyse performance of your parallel application on CSC's Cray XC supercomputer Sisu. The second part will cover the foundations as well as programming practices for writing efficient program code for modern x86 CPUs. In the last part, we will talk about some algorithmic considerations and MPI programming practices for improving parallel scalability of MPI-parallel applications.

30.10. Performance optimization of scientific software I: Performance analysis
6.11. Performance optimization of scientific software II: Node-level performance tuning
20.11.   Performance optimization of scientific software III: Improving application scaling

The recording of the webinar is viewable on YouTube: