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pipelines for reproducible, efficient and scalable training and inference on parallel, distributed and GPU-accelerated computing systems Benchmark the developed approaches against established methods
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<span lang="en">TUD Dresden University of Technology</span> | Dresden, Sachsen | Germany | 11 minutes ago
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- compiler frameworks (LLVM, MLIR)
- embedded software development
- computer and accelerator architectures
- parallel and distributed computing
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(IEE) , the Chair of Highly-Parallel VLSI Systems and Neuro-Microelectronics offers a project position as Research Associate (m/f/x) Physics- and Quantum-Inspired Computing on the SpiNNaker2
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31st December 2032. About Us The ML Cloud team designs, runs and safeguards high-performance computing infrastructure tailored to machine learning workloads. Our state of the art systems are
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