Lightning talks of EduHPC 2022
| Autor: | Apan Qasem, Hartwig Anzt, Eduard Ayguade, Katharine Cahill, Ramon Canal, Jany Chan, Eric Fosler-Lussier, Fritz Gobel, Arpan Jain, Marcel Koch, Mateusz Kuzak, Josep Llosa, Raghu Machiraju, Xavier Martorell, Pratik Nayak, Shameema Oottikkal, Marcin Ostasz, Dhabaleswar K. Panda, Dirk Pleiter, Rajiv Ramnath, Maria-Ribera Sancho, Alessio Sclocco, Aamir Shafi, Hanno Spreeuw, Hari Subramoni, Karen Tomko |
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| Přispěvatelé: | Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors, Universitat Politècnica de Catalunya. Departament d'Enginyeria de Serveis i Sistemes d'Informació, Barcelona Supercomputing Center, Universitat Politècnica de Catalunya. PM - Programming Models, Universitat Politècnica de Catalunya. CRAAX - Centre de Recerca d'Arquitectures Avançades de Xarxes, Universitat Politècnica de Catalunya. IMP - Information Modeling and Processing |
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
Distance education
Arquitectura d'ordinadors -- Ensenyament Universitari High performance computing education Ensenyament i aprenentatge::Ensenyament universitari [Àrees temàtiques de la UPC] Ensenyament a distància Distance learning Computer architecture -- Study and teaching (Higher) Masters curriculum GPU computing Informàtica::Arquitectura de computadors [Àrees temàtiques de la UPC] CI professional training Computer science education |
| Popis: | The lightning talks at EduHPC provide an opportunity to share early results and insights on parallel and distributed computing (PDC) education and training efforts. The four lightning talks at EduHPC 2022 cover a range of topics in broadening PDC education: (i) curriculum development efforts for the European Masters in HPC program, (ii) bootcamps for CI professionals who support the running of AI workloads on HPC systems, (iii) a GPU programming course following the Carpentries model and (iv) peer-review assignments to help students write efficient parallel algorithms within sustainable software libraries. Peer Reviewed Article signat per 26 autors/es: Apan Qasem 1, Hartwig Anzt 2,3, Eduard Ayguade 4, Katharine Cahill 5, Ramon Canal 4, Jany Chan 6, Eric Fosler-Lussier 6, Fritz Göbel 2, Arpan Jain 6, Marcel Koch 2, Mateusz Kuzak 7, Josep Llosa 4, Raghu Machiraju 6, Xavier Martorell 4, Pratik Nayak 2, Shameema Oottikkal 5, Marcin Ostasz 8, Dhabaleswar K. Panda 6, Dirk Pleiter 9, Rajiv Ramnath 6, Maria-Ribera Sancho 4, Alessio Sclocco 7, Aamir Shafi 6, Hanno Spreeuw 7, Hari Subramoni 6, Karen Tomko 7 / 1 Department of Computer Science, Texas State University, USA; 2 Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany; 3 University of Tennessee (UTK), Knoxville, USA; 4 Barcelona Supercomputing Center and Universitat Politècnica de Catalunya, Spain; 5 Ohio Supercomputer Center, USA; 6 College of Engineering, The Ohio State University, USA; 7 Netherlands eScience Center, The Netherlands; 8 ETP4HPC, The Netherlands; 9 PDC Center for High Performance Computing, KTH Royal Institute of Technology, Sweden |
| Databáze: | OpenAIRE |
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