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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 25 days ago
equipped with GPUs. The goal of task-based runtime systems is to drive the execution of an application by automatically and dynamically managing the assignment of computations on available processors and
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of ORCRIST: Optimized Ray-tracing for Cloud-Radiation Interaction Simulations in 3D using GPUs and Machine Learning, funded by the NWO Open Technology Programme. Sunlight and heat radiation move
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frameworks. ● Experience with High-performance Computing Infrastructure and GPU clusters. ● Strong research background in multimodal modeling, representation learning, and statistical evaluation of machine
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that 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://atlas.cern
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, and materials concepts, and assist in evaluating how reliable interpretability methods are in these settings. Build and maintain reusable tooling, pipelines, and GPU-accelerated workflows
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University of California, Los Angeles | Los Angeles, California | United States | about 12 hours ago
related scientific software, software modules, containers, libraries, dependencies, and GPU-enabled applications. • Maintain reproducible computational environments and records of software versions
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, graphics processing unit (GPU) and resource allocation, and scheduling Partner with the broader NDIF team to keep the system dependable and usable as user needs evolve Establish and advocate for operational
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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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-of-the-art research infrastructure including digital pathology, dedicated GPU computing and comprehensive in-house platforms for sequencing, proteomics and spatial omics technologies A truly translational
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Machine Learning tools and algorithms to solve hydrology and water resources problems. Familiarity with high-performance computing (HPC), cloud platforms, or GPU clusters. Modes of Work Positions that