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position within a Research Infrastructure? No Offer Description The position targets the design and evaluation of novel architectures, programming paradigms, and parallel algorithms for AI accelerators
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and optimization strategies for large-scale or streaming data. Develop parallelized and GPU-accelerated learning modules, ensuring scalability and performance efficiency. Build and maintain robust data
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for the generation of clean H2 from non-ideal water streams, looking at oxygen evolution and parallel purification reactions. The candidate(s) will also work with the team to scale-up of the system in area, number
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. Optimizations include vectorization (using hardware vector instructions), parallelization (running loop iterations in parallel), enhancing data locality by fusion, and blocking (i.e. accessing arrays in a way
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, graduate and undergraduate students, and external collaborators. Preferred Qualifications: Strong background in parallel computing, parallel application design and development, and performance evaluation and
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Line of research: " Computer Architecture and Parallel Systems " publisched in the official gazzette BORM 7/11/2025. ( IN SPANISH). Where to apply Website https://convocum.um.es/convocum2/paginas/pin
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | about 2 months ago
development of methods 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
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | about 2 months 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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), parallelization (running loop iterations in parallel), enhancing data locality by fusion, and blocking (i.e. accessing arrays in a way that improves temporal and spatial data locality). A large number of
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Cardiovascular disease remains the leading cause of death globally. In parallel with an ageing population and increased prevalence of CVD, there is also a major drive towards urbanisation. Around 75