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FLAME-GPU accelerated agent-based modelling of material response to environmental and operational loading School of Mechanical, Aerospace and Civil Engineering PhD Research Project Directly Funded
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Department of Computing is seeking a dedicated and skilled individual to manage our internal large-scale GPU infrastructure and cloud facilities. The Department of Computing wishes to recruit a
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Department of Computing is seeking a dedicated and skilled individual to manage our internal large-scale GPU infrastructure and cloud facilities. About the role The Department of Computing wishes
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Shifting bits: Adaptive numerical precision for GPU software in particle physics and beyond (S3.5-COM-Richmond) School of Computer Science PhD Research Project Competition Funded Students Worldwide
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Shifting bits: Adaptive numerical precision for GPU software in particle physics and beyond (S3.5-COM-Richmond)
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engineering applications through the exact same governing equations. The software for this work is our state of the art open source multiphysics weakly compressible SPH solver DualSPHysics [3] with GPU hardware
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GPU acceleration (CUDA) Participation in relevant competitions (e.g., Kaggle, computer vision challenges) Experience with version control (Git) and collaborative development practices
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- GPU. What we offer As well as the exciting opportunities this role presents, we also offer some great benefits some of which are below: 41 Days holiday (27 days annual leave 8 bank holiday and 6 closure
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for heterogeneousCPU/GPU architectures, with a strong emphasis on performance profiling and optimisation. You will manage defined tasks and milestones and collaborate closely with colleagues across the consortium
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/machine learning software development, and even writing software for GPUs or supercomputers. The Person The successful candidate should be able to demonstrate: Currently in the second year of a relevant