Training Material
Here you can find material from various training sessions related to the DEEP projects.
Material from the Final SEA Projects Workshop “A Flexible, Integrated Software Stack for HPC Systems”, held on January 16th, 2024 at Leibniz Supercomputing Centre in Munich, Germany: https://sea-projects.eu/material/
15 October, 2021, DEEP-SEA weekly seminars
                    Optimization cycles — MemAxes / Mitos
                            Measurement, analysis, and visualization of data movements on HPC nodes                        
                                        
                3 September, 2021, DEEP-SEA weekly seminars
                    Extra-P: Application Performance Modelling and Application Mapping
21 August, 2021, DEEP-SEA weekly seminars
                    Scalasca Trace Tools
                            A scalable trace based performance analysis toolset                        
                                        
                2 July, 2021, Online
                    SEA JUBE Benchmarking Workshop
                            Internal Workshop for members of the three SEA projects, 02.07.2021                        
                                        
                26 August, 2019, Jülich, Germany
                    High Performance Computing – Advanced Scientific Computing
                            Lecture for students at Forschungszentrum Jülich, 26.08.2019                        
                                        
                23 August, 2019, Dresden, Germany
                    Neural Architecture Search with Reinforcement Learning
                            5th International Summer School on Big Data and Machine Learning, Technical University of Dresden, 23.08.2019                        
                                        
                27 June, 2018, Frankfurt, Germany
                    Tutorial on machine learning and data analytics
                            International Supercomputing Conference (ISC) 2018                        
                                        
                