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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA INDUSTRIALE | Italy | about 1 month ago
Description Analysis and development of methodologies to accelerate the computation of numerical optimization through parallelization and the use of GPUs. Where to apply Website http://www.unibo.it Requirements
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called Tiramisu [1]. Unlike existing frameworks, Tiramisu can perform advanced code optimizations that are hard to apply otherwise. Because of this, Tiramisu can generate fast code that outperforms highly
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. Computational Optimization: Resolving hardware-specific performance and numerical precision challenges across diverse GPU environments. Architecture Design: Leading the design of new loss functions, model
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and field monitoring work performed by a PhD student at LIST and other researchers in LAFI, and extend the existing Vegetation Optimality Model (VOM, https://vom.readthedocs.io ) to test the following
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. The optimized numerical approaches will allow enlarging the investigated parameter space during the optimization routine and to envision multi-objective schemes aimed at the concurrent evaluation of multiple
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condensed matter physics • Ability to learn and develop skills in analytical computation, theoretical modelling and numerical simulations, in particular the numerical solution of partial differential
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scale. Key activities include: • Fracture mechanics and fatigue for bio-based composites • Numerical implementation and optimization. • Model calibration and validation. • Prototype deployment and testing
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Posting Number R260058 Posting Link https://www.ubjobs.buffalo.edu/postings/61964 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89 Posting
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The Director of Revenue Cycle Optimization is responsible for leading the design, development, deployment and ongoing optimization of the Epic Systems (Epic) software platform in support of all
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Palmas de Gran Canaria (ULPGC) is seeking a Doctoral Researcher (ICP1 level) to join the research project: “Optimal Design of Multipolar Stimulation Patterns in Cochlear Implants through Numerical