The occurrence of turbulent flows is quite common in nature and several industrial applications. The accurate simulation of these complex flows is still a great challenge in science. Large Eddy Simulation (LES) is an efficient technique based on the elimination of all scales of a flow smaller than a characteristic length ∆, considering that the flow pattern in small scales is homogeneous and isotropic. Therefore, modeling of turbulence in such scales is universal and independent of the flow type. This work present PMLES, a new OpenMP CUDA Fortran solver for complex turbulent flows at high Reynolds numbers and large computational domains (about 1 × 108 cells), using a single GPU card. This was possible by using an economical numerical scheme...
Turbulent flows present structures with a wide range of scales. The computation of the complete phys...
The development of GPU parallelized unstructured multiphase solver and its application in predicting...
Nowadays, high performance computing (HPC) systems experience a disruptive moment with a variety of ...
The research presented in this dissertation is divided into two parts,the first part focuses\ud pure...
Graphics processing unit (GPU) and clusters of GPUs have emerged as cost-effective general-purpose s...
This paper describes the GPU accelerated MBFLO2 multi-block turbulent flow solver completely in doub...
The AFiD code, an open source solver for the incompressible Navier-Stokes equations (http://www.afid...
The AFiD code, an open source solver for the incompressible Navier–Stokes equations (http://www.afid...
High performance computing clusters that are augmented with cost and power efficient graphics proces...
In this work, the performance of a Large Eddy Simulation (LES) code for compressible flows is invest...
Turbulent incompressible flows play an important role in a broad range of natural and industrial pro...
Graphical processing units (GPUs), characterized by significant computing performance, are nowadays ...
The development of GPU parallelized unstructured multiphase solver and its application in predicting...
Abstract — Large eddy simulations (LES) of co-flowing round jets with 33.6 million grid points are c...
Computational Fluid Dynamics (CFD) simulations can be very computationally expensive, especially for...
Turbulent flows present structures with a wide range of scales. The computation of the complete phys...
The development of GPU parallelized unstructured multiphase solver and its application in predicting...
Nowadays, high performance computing (HPC) systems experience a disruptive moment with a variety of ...
The research presented in this dissertation is divided into two parts,the first part focuses\ud pure...
Graphics processing unit (GPU) and clusters of GPUs have emerged as cost-effective general-purpose s...
This paper describes the GPU accelerated MBFLO2 multi-block turbulent flow solver completely in doub...
The AFiD code, an open source solver for the incompressible Navier-Stokes equations (http://www.afid...
The AFiD code, an open source solver for the incompressible Navier–Stokes equations (http://www.afid...
High performance computing clusters that are augmented with cost and power efficient graphics proces...
In this work, the performance of a Large Eddy Simulation (LES) code for compressible flows is invest...
Turbulent incompressible flows play an important role in a broad range of natural and industrial pro...
Graphical processing units (GPUs), characterized by significant computing performance, are nowadays ...
The development of GPU parallelized unstructured multiphase solver and its application in predicting...
Abstract — Large eddy simulations (LES) of co-flowing round jets with 33.6 million grid points are c...
Computational Fluid Dynamics (CFD) simulations can be very computationally expensive, especially for...
Turbulent flows present structures with a wide range of scales. The computation of the complete phys...
The development of GPU parallelized unstructured multiphase solver and its application in predicting...
Nowadays, high performance computing (HPC) systems experience a disruptive moment with a variety of ...