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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 20 days ago
for acceleration of parallel applications in the High Performance Computing (HPC) environment, · work in the international team focused on development and optimization of parallel codes under national and
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-edge Machine Learning applications on the Exascale computer JUPITER. Your work will include: Developing, implementing, and refining ML techniques suited for the largest scale Parallelizing model training
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, and a solid understanding of numerical analysis and familiarity with the use of analytical tools. They should also have knowledge and experience in parallel coding and spectral methods. They must have
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/GPUs. These devices provide massive spatial parallelism and are well-suited for dataflow programming paradigms. However, optimizing and porting code efficiently to these architectures remains a key
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performance and portability through an informed implementation of parallel programming models and abstraction layers. - You will develop benchmarks and metrics to assess the performance, scalability, and
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the use of fluorescence microscopy, biochemistry, molecular biology, and bacterial genetics approaches. In parallel with the research project, the candidate will participate in laboratory activities (shared
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agents of prepared systems. - Stage 3: Assistance in interpreting results and preparing reports. These stages can be developed in parallel for several systems to prevent one of them from being limited in
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conferences to disseminate research findings, and mentoring junior team members in preparation for their presentations. In parallel, the principal investigator (PI) will provide mentorship aimed at supporting
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large-scale power system simulation and model reduction techniques. • Hands-on experience with EMT/Phasor-domain-based power system transient simulator development. • Knowledge of parallel and