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Field
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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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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 16 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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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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, Elastic Stack, or similar monitoring platforms. Experience supporting GPU computing environments, including NVIDIA drivers, CUDA , GPU scheduling, monitoring, and performance optimization; familiarity
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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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-performance computing resources, storage capacity, and data services. NAISS is hosted by Linköping University and has 12 partner universities across Sweden. We are looking for two AI Infrastructure
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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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MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE | Dhabi Kalan, Haryana | India | about 2 months ago
recruitment process to upload their reference letter via Interfolio) Where to apply Website https://www.timeshighereducation.com/unijobs/listing/414963/computing-and-mathe… Requirements Additional Information
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and the tools required to make data driven discoveries that increase our scientific knowledge and improve the quality of life. We architect ecosystems of large-scale commons of research data, computing
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, transparent, and responsible use of AI in line with best practices and international standards. Leverage VIB Data Core services, including high-performance computing pipelines and large-scale GPU