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modelling, and neuroimaging. The position provides access to high-performance computing resources, including GPUs and supercomputing clusters, for advanced simulations of cerebral blood flow and molecular
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recommended. Strong background in computer architectures and embedded platforms (ARM Cortex-M, NPU, FPGA, embedded GPU), e.g., via academic courses and/or project courses Research experience (e.g., through a
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resources of 48 GPUs, including 16 * NVIDIA A30, 16 * NVIDIA A40, and 16 * NVIDIA A100. Detailed information about the CEEC Department can be found at: http://www.unlv.edu/ceec MINIMUM QUALIFICATIONS
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development skills Model deployment (e.g., ONNX, TensorRT) Edge computing or embedded vision systems (e.g., NVIDIA Jetson Nano) Real-time processing and GPU acceleration Experience working on industry R&D
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 2 months ago
of Europe's most powerful supercomputers. IT4Innovations also operates the first Czech quantum computer named VLQ. For more details, see www.it4i.eu . https://www.it4i.cz/ Activity description: · research and
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 2 months ago
supercomputers. IT4Innovations also operates the first Czech quantum computer named VLQ. For more details, see www.it4i.eu . https://www.it4i.cz/ Activity description: · research and development of methods
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optimized code written by expert programmers and can target different hardware architectures (multicore, GPUs, FPGAs, and distributed machines). In order to have the best performance (fastest execution
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including heterogeneous accelerator devices such as GPUs, DSPs or FPGAs, requiring software to cope with concurrent and parallel synchronous and asynchronous computation. The emergence of connected autonomous
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and scripting languages. Extensive knowledge of parallel programming techniques, including shared memory and message passing parallel programming, and knowledge of GPU programming. Experience with
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and scripting languages. Extensive knowledge of parallel programming techniques, including shared memory and message passing parallel programming, and knowledge of GPU programming. Experience with