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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 5 days ago
the [killMS](https://github.com/saopicc/killMS ) stage and the [DDFacet](https://github.com/saopicc/DDFacet ) stage, both developed in particular by Cyril Tasse from the Paris Observatory. The present Engineer
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group of Prof. Sera Markoff (Plumian Professor) studies these systems across the full black hole mass scale, combining GPU-accelerated supercomputer simulations and semi-analytic modelling with data from
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candidates working in formal methods and/or computer systems with interests in one or more of the following areas: machine-checked verification of systems software, GPU kernel semantics and verification, and
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systems in terms of development effort, features, and performance. Its missions include the design and implementation of verified inference components, the formalization of GPU kernel semantics, the
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HPC infrastructure; • installation, configuration, administration, and monitoring of: - CPU and GPU computing clusters, - storage systems, - virtualization and cloud computing platforms, - orchestration
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, transcriptomic, proteomic, and circulating biomarker data. The lab provides access to state-of-the-art computational infrastructure, including high-performance computing (HPC) environments, GPU-enabled systems
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enabled medical physics simulation, Cosserat rod theory to support hands-on class activities and development of NVIDIA GPU-based course modules.) Demonstrate and support demo or integration
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are looking for an experienced software engineer to help with the development and maintenance of our GPU-native hypersonic CFD software. A successful candidate will be able to demonstrate proficiency in
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managed as software-defined infrastructures, and integrated as complete computational experiments. You will experience designing and operating massive-scale GPU and combined CPU/GPU workloads across
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of technical requirements for different use scenarios of AI applications. 3) Study and comparison of server architectures, GPUs, and storage solutions suitable for AI. 4) Implementation of virtualization and