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We would like to invite you to participate in our High-performance data analytics course where we will introduce different tools and methods for Big data handling. The tools will be presented on two different use cases but can be applied to any data.
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This course is an introduction to GPU programming using the directive-based OpenACC paradigm and language-extension-based CUDA. The course consists of lectures, type-along and hands-on exercises. Topics covered in the course include the architecture of the GPU accelerators, basic usage of OpenACC and CUDA, how to control data movement between CPUs and GPUs. Basic optimization of the code will also be covered.
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Quantum molecular modeling of complex molecular systems is an indispensable and integrated component in advanced material design, as such simulations provide a microscopic insight into the underlying physical processes. ENCCS and PDC will offer training on using the VeloxChem program package This event is for researchers and students already familiar with quantum chemistry that want to learn […]
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OpenMP is a portable and scalable parallel programming model that gives programmers a flexible interface for directive-based programming of shared-memory parallel machines. Used in conjunction with MPI, OpenMP can enable scientific software to be scaled up to large supercomputers. Since version 4.0, OpenMP supports offloading to accelerator devices such as GPUs and thus provides developers with a single framework that can be used across existing and future GPU devices from multiple vendors.
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This project has received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 951732. The JU receives support from the European Union’s Horizon 2020 research and innovation programme and its associated countries .
