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- Technical University of Munich
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- Max Planck Institute for Multidisciplinary Sciences, Göttingen
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- Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen
- TECHNISCHE UNIVERSITAT DRESDEN (TU DRESDEN)
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molecular dynamics simulations and was specially designed for parallelisation on GPUs. It is open source and licensed under the LGPL. Details can be found on the website https://halmd.org Job-Description
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and train CNN and SNN models utilizing frameworks such as Keras, PyTorch, and SNNtorch Implement GPU acceleration through CUDA to enable efficient neural network training Apply hardware-aware design
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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 2 months ago
— operates a state-of-the-art GPU cluster with more than 1200 GPUs, serving as a critical backbone for advancing ground-breaking research in AI. Possible tasks include: Build, administer, optimize, and
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, TrustLLM and EuroLingua-GPT, in which large foundation models are trained from scratch on the basis of several million GPU hours and several thousand GPUs. The distinctive feature of the work at the FMR-Lab
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methods (LBM). For fluid simulations, we utilize the high-performance LBM framework waLBerla, predominantly written in C++, but increasingly adapted for GPU computations through automatic code generation
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-scale training of a high-performance foundation model using a dedicated GPU cluster Fine-tuning the pretrained model on real-world health data from lifespin’s proprietary database Collaborating closely
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on them Work on the design, development and operation of GPU and compute cluster systems together with an interactive team Serve as the first point of contact for users for help or problem analysis and
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experiment operation in 2028. Emphasis has to be put on the application of the software in real-time, making use of massive parallelism on CPU and/or on GPU. Your profile: From the applicant, we expect a
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physics, mathematics or any related field; correspondingly, Postdocs hold a PhD or equivalent degree in the abovementioned fields. What we offer State of the art on-site high performance/GPU compute
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physics, mathematics or any related field. What we offer State of the art on-site high performance/GPU compute facilities Competitive research in an inspiring, world-class environment A wide range of offers