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analysed in a standard web browser. HiPIMS computations can be executed on local GPUs or through cloud-based GPU services, empowering users to conduct large-scale fast flood simulations without worrying
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performance and reliability targets. Cluster-Based Training & Optimization Train large-scale CV models on multi-GPU or distributed setups, optimizing hyperparameters and resource usage. Profile training
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GPU NVIDIA H100. Interdisciplinary collaborations with AI researchers and clinicians from NHS hospitals. Participate in large collaborative project funded by the National Institute of Health and Care
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Units (NPUs), significantly enhancing performance and energy efficiency. AMD, for example, integrates a CPU, NPU, and GPU into its latest Ryzen processors, unlocking new possibilities for on-device AI
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for collaboration inside and outside of the University. It has access to extensive dedicated computing resources (GPU, large storage). The successful applicant will work under the supervision of Prof. Hain. Please
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) software working on GPU- and CPU-based supercomputing architectures, and secured computing resources from the UK-based as well as international supercomputing facilities. The research programme is now
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-fidelity simulation data will be used to build the machine-learning model to be then embedded into a GPU-accelerated blade-element momentum solver that will be made open-source to enable direct impact with
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in the United Kingdom, Taiwan, Korea, Austria and Japan, plays a central role in the study of such theories. We developed state of the art (open source) software working on GPU- and CPU-based
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us to run large numerical simulations with billions grid points on mixed computer architectures including CPU and GPU machines. A current project is preparing the code set for the next generation of
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national high-performance computing facilities (both CPU and GPU-based) to conduct large-scale simulations efficiently. Working closely with experimental collaborators to validate computational predictions