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entwickelt und betreibt das PTC Forschungsinfrastruktur für wissenschaftliche Arbeiten unter kontrollierten Umweltbedingungen und im Freiland. In der Greenhouses & Phytochambers Unit (GPU) betreuen
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 15 days ago
-pipeline, constituted from 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
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resources, applications, tools, and services for the broader research community to use data at scale to pursue scientific inquiry and accelerate discovery. Learn more at https://gdc.cancer.gov
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of the UPSCALE HPC infrastructure; • installation, configuration, administration, and monitoring of: - CPU and GPU computing clusters, - storage systems, - virtualization and cloud computing
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-time computing on heterogeneous processor types Optimized GPU computing and exploitation of GPU architectures for HPEC (tensors, multi-GPU instantiations, advances in GPU for AI/ML) Compute-focused
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are part of a global computing grid used to reconstruct and analyze particle collisions recorded by the ATLAS detector at the Large Hadron Collider (LHC) at CERN in Geneva, Switzerland (https
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computation, communication and storage, optimizing GPU utilization, parallelization, inter-node communication and I/O performance on parallel file systems. You will develop solutions for monitoring
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building widely used open-source simulation codes. You will have access to national and European supercomputers (Snellius, LUMI) and dedicated GPU hardware. Where to apply Website https
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experience designing & operating massive-scale GPU and combined CPU/GPU workloads across these services. You will design and debug platforms, and will work closely with researchers as you co-design
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, Elastic Stack, or similar monitoring platforms. Experience supporting GPU computing environments, including NVIDIA drivers, CUDA , GPU scheduling, monitoring, and performance optimization; familiarity