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Post-doctorate position (M/F) : Exascale Port of a 3D Sparse PIC Simulation Code for Plasma Modeling
further GPU porting. The exploration of C++ programming models for performance portability, such as Kokkos or StarPU, will form a second part. A comparative study will evaluate the different implementations
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, glow-dischargers and plasma machines. The microscope data servers are connected to Crick central computing which provides capacity for EM data storage and high-speed processing cores, including GPU cores
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The recruited engineer will be co-supervised by MdS and Joliot to implement this new approach. To achieve a portable, efficient code that fully exploits GPUs, the core of the code will be developed
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facility will combine traditional compute provision with AI focused GPU capabilities. What you’ll do Work with colleagues from the University to deliver the Secure Data Research Environments IT
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facility will combine traditional compute provision with AI focused GPU capabilities. What you’ll do Work with colleagues from the University to Lead efforts for the Secure Data Research Environments IT
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facility will combine traditional compute provision with AI focused GPU capabilities. What you’ll do Work with colleagues from the University to deliver the Secure Data Research Environments IT
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-of-the-art high-performance computing (HPC) infrastructure. In this position, you'll leverage your expertise to support and manage CSHL's AI-driven compute cluster powered by NVIDIA H100 GPUs, empowering
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simulations, we utilize the high-performance LBM framework waLBerla, predominantly written in C++, but increasingly adapted for GPU computations through automatic code generation using Python scripts. In
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of parallel computing (GPUs) to speed solution within the optimisation process. Funding Notes 1st or 2:1 degree in Engineering, Materials Science, Physics, Chemistry, Applied Mathematics, or other Relevant
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high-performance computing capabilities (including approximately 4,000 Nvidia RTX 4000 Ada GPUs and over 30,000 CPU cores) hosted at the project data center in Nevada where the telescope is located