activity
20142026
most citedAlya: Towards Exascale for Engineering Simulation Codes

23 citations · 57 across the 8 of their papers we have counts for

collaborators

8 papers

physics.flu-dyn2026

Large-eddy simulations of a lean hydrogen premixed turbulent jet flame with tabulated chemistry

Emiliano M. Fortes, Eduardo J. Pérez-Sánchez, Temistocle Grenga +3

Large-eddy simulations (LES) of a planar turbulent lean hydrogen-air jet flame at Re = 11000 are performed using a tabulated flamelet model based on mixture-averaged diffusion that…

physics.flu-dyn2023★ 12 cited

Assessment of dynamic adaptive chemistry with tabulated reactions for the simulation of unsteady multiregime combustion phenomena

Anurag Surapaneni, Daniel Mira Martinez

Solving chemistry is an integral part of reacting flow simulations, usually dominating the computational cost. Among the different strategies to accelerate the solution of chemistr…

cs.DC2022★ 2 cited

A portable coding strategy to exploit vectorization on combustion simulations

Fabio Banchelli, Guillermo Oyarzun, Marta Garcia-Gasulla +4

The complexity of combustion simulations demands the latest high-performance computing tools to accelerate its time-to-solution results. A current trend on HPC systems is the utili…

physics.flu-dyn2022

Dynamic load balance of chemical source term evaluation in high-fidelity combustion simulations

Guillem Ramírez-Miranda, Daniel Mira, Eduardo J. Pérez-Sánchez +4

This paper presents a load balancing strategy for reaction rate evaluation and chemistry integration in reacting flow simulations. The large disparity in scales during combustion i…

physics.flu-dyn2022★ 18 cited

Evaporation of volatile droplets subjected to flame-like conditions

Ambrus Both, Daniel Mira, Oriol Lehmkuhl

This work assesses Lagrangian droplet evaporation models frequently used in spray combustion simulations, with the purpose of identifying the influence of modeling decisions on the…

stat.ML2021★ 1 cited

Prediction of liquid fuel properties using machine learning models with Gaussian processes and probabilistic conditional generative learning

Rodolfo S. M. Freitas, Ágatha P. F. Lima, Cheng Chen +3

Accurate determination of fuel properties of complex mixtures over a wide range of pressure and temperature conditions is essential to utilizing alternative fuels. The present work…

cs.DC2021★ 1 cited

Performance assessment of CUDA and OpenACC in large scale combustion simulations

Guillermo Oyarzun, Daniel Mira, Guillaume Houzeaux

GPUs have climbed up to the top of supercomputer systems making life harder to many legacy scientific codes. Nowadays, many recipes are being used in such code's portability, witho…

physics.comp-ph2014★ 23 cited

Alya: Towards Exascale for Engineering Simulation Codes

Mariano Vazquez, Guillaume Houzeaux, Seid Koric +9

Alya is the BSC in-house HPC-based multi-physics simulation code. It is designed from scratch to run efficiently in parallel supercomputers, solving coupled problems. The target do…