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Accelerating FLOw Computation using COnvolutional Networks – FLOCCON
The project FLOCCON is dedicated to the development and validation of an innovative strategy to accelerate solvers for fluid mechanics. The project focuses on incompressible solvers, containing two parts: (1) a linear Poisson equation, and (2) a non-linear advection equation. The key idea of this pr
Simulation Analytics and Metamodel-based solutions for Optimization, Uncertainty and Reliability AnalysIs – SAMOURAI
Increasing the efficiency of model-based industrial processes requires to improve their uncertainty quantification and numerical optimization. Such issues appear in most of the engineering domains (e.g. energy, transport, agriculture) and scientific fields (e.g. biology, high-energy physics). A majo
Design optimization by multiscale lacunarity structures – ITERATE
Saving energy by designing lighter objects while maintaining high mechanical properties is a crucial issue for industry. In this context, we are proposing a new object design solution, subject to a set of mechanical and / or thermal constraints This solution exploits materials whose lacunar structur
Challenging the numerical simulation of viscoplastic flows: cross-comparison with physical experiments – VPFlows
The VPFlows project develops innovative numerical methods for HPC simulation of yield stress flows, associated to the modelling of geophysical flows like avalanches. It is a deeply interdisciplinary project: the part on numerical simulations (currently the most precise in the field thanks to HPC) go
Scaling up Stochastic Algorithms through non-reversibility, parallelization and adaptness – SuSa
Both statistical physics and Bayesian statistical inference revolve around probabilistic modeling and relies on description based on intractable integrals, which are sampled through Monte Carlo algorithms. As size and complexity of problems increase, these high-dimensional problems require more effi
SOft MAtter dynamics with Dlaunay-based Neighbours Search – SOMA-DNS
An important collaboration has existed for several years at the University of Limoges around the development of efficient computational codes for the simulation of colloidal suspensions. This project associates two complementary teams: a team of the XLIM laboratory specialized in GPU computing (B. C
High-resolution topography upscaling for overland flows – Top-up
Urban floods produced by exceptional precipitations may cause large damages both in terms of life losses and property destruction. Numerical modeling can be used to predict, anticipate and control the floods by helping to size and position protective systems including dams, dikes or rainwater draina
Dataflow Algorithm aRchitecture co-design of SKA pipeline for Exascale RadioAstronomy – DARK-ERA
1- Building SimSDP, a rapid prototyping tool providing exascale simulations from dataflow algorithm description. 2 - Exploring low power accelerators like FPGA or Kalray MPPA as alternatives to mainstream GPU architecture. 3 - Being source of proposals for SKA computing and promoting french contri
Mechanics, stochastics and control with code coupling – MS3C
We seek to improve upon the current design and bring the optimal performance to wind turbine farms, by using the flexible blades as the novel idea. The blades flexibility can be an advantage for starting the turbine operation for mild wind (like tree leaves), but a disadvantage for keeping the turbi
Adaptive Characteristic Mapping Method for the Euler Equations – CM2E
Even though computational resources grow rapidly, the extremely fine scales in fluid and plasma turbulence remain beyond reach using existing numerical methods. A combination of computational power and ingenious physical insights is usually needed to go beyond the brute force limit. We propose here
Platform to analyse Floating-Point arithmetic – INTERFLOP
Intensive usage of floating-point (FP) arithmetic in today’s real software affect numerical quality and reproducibility of program. The problem of the detection, localization and correction of numerical bug is entering a new area with the tremendous increases in computational horsepower needed to ad
Scalable and Efficient Linear and Eigenvalue Solvers Using Tensor Decompositions – SELESTE
Tensor methods have witnessed a remarkable recent progress in theory, algorithms, and applications in many domains including signal processing, big data analysis, artificial intelligence, and scientific computing. Among these advancements is the introduction of tensor-based solver frameworks based o
Fractal models and wavelet analysis for the characterization of engineering surfaces – FRACLETTES
The area in which this project fits is geometric modeling for Computer Aided Geometric Design (CAGD) and digital simulation. We propose to tackle the problem of digital representation, analysis and characterization of rough surfaces for digital simulation. Roughness is a complex concept, that is mu
Droplet Breakup analysis by Direct Numerical Simulation – DropBreak
Many industrial processes are concerned by atomization, particularly in transport industry. Multi-scale by nature, this process generates liquid structures of diverse shapes and sizes ranging from micrometers to centimeters. Atomization is often divided into primary atomization, near the injector, a