The European Network on High Performance and Embedded Architecture and Compilation (HiPEAC) conference is the premier European forum for experts in computer architecture, programming models, compilers and operating systems for embedded and general-purpose systems. The HiPEAC 2020 conference will take place in Bologna, Italy. Associated workshops, tutorials, special sessions, several large poster session and an industrial exhibition will run in parallel with the conference.
Established in 1988, the annual SC conference continues to grow steadily in size and impact each year. Approximately 5,000 people participate in the technical program, with about 11,000 people overall. The technical program is the heart of SC. It has addressed virtually every area of scientific and engineering research, as well as technological development, innovation, and education. Its presentations, tutorials, panels, and discussion forums have included breakthroughs in many areas and inspired new and innovative areas of computing.
A GPU hackathon is a 5-day coding event in which teams of developers port their applications to run on GPUs, or optimize their applications that already run on GPUs. Each team consists of three or more developers who are intimately familiar with (some part of) their application, and they work alongside two mentors with GPU programming expertise. The mentors come from universities, national laboratories, supercomputing centers, government institutions, and vendors. The Swiss National Supercomputing Centre is pleased to announce that the fifth GPU-programming EuroHack will be held from September 30 to October 04, 2019 at the Hotel De La Paix in Lugano, located in the Italian area of Switzerland.
The conference will address all aspects of the rapidly burgeoning domain of computational biomedicine, from genome through organ to whole human and population levels, embracing data driven, mechanistic modelling and simulation, machine learning and combinations thereof. We welcome contributions from academic, clinical and industrial participants alike.
The conference will address all aspects of the rapidly burgeoning domain of computational biomedicine, from genome through organ to whole human and population levels, embracing data driven, mechanistic modelling and simulation, machine learning and combinations thereof. It is is organised by the Centre of Excellence (CoE) in Computational Biomedicine (CompBioMed), aimed at nurturing and promoting the uptake and exploitation of high performance computing within the biomedical modelling community (www.compbiomed.eu).
MAX CoE participates in the Graphene Week 2019 with the following workshop and session:
- Graphene Flagship – MaX joint workshop on “High performance computing for 2D materials research” Parallel Session on Tuesday, 24 September 2019 (15.30-18.00) + Poster Session (18.00-20.00)
Chairs: Elisa Molinari – director of MaX Center, Vladimir Falko – Director of NGI
- Policy session: “European HPC initiatives and 2D materials research: collaborating and funding opportunities” on Tuesday, 24 September 2019 (14:30-15:30)
The aim of the school is to introduce students, postdocs, and other researchers to materials and molecular modelling with Quantum ESPRESSO. The school will cover basic concepts as well as recent advances and developments, with emphasis on density-functional-theory based methods and high-performance computing.
The school will follow a two-decade-long tradition of Quantum ESPRESSO training courses that have been held all over the world and is part of an ongoing effort of the MaX CoE to widen the scope of its action to European countries outside the consortium.
On September 9, 2019, Guest Lecturer Rosemary Francis will explain common I/O problems and best practices to implement easy performance wins in the 11th POP Guest Webinar – Implementing I/O Best Practices to Improve System Performance with Ellexus. She will outline I/O profiling for improving application performance as well as I/O monitoring for improving HPC system performance through good application deployment.
This tutorial focuses on training the participants in using our all-electron FLAPW DFT code FLEUR (www.flapw.de) and associated codes like Spex-FLEUR, a code for many-body perturbation theory, and G-FLEUR, an embedding code. In extension to similar previous tutorials it also addresses the usage of FLEUR within the AiiDA infrastructure to build automatic work-flows applicable to materials screening applications.
The School is supported partly by MaX CoE.
Machine Learning is recognised as a potentially disruptive technology, which may have a large positive impact on both the computational and data management activities associated with Earth System Models.
It is organized by ECMWF and the University of Oxford and co-funded by the ESiWACE2 project.