The paper presents a GPU implementation of the thermal discrete element method (TDEM) and the comparative analysis of its performance. Several discrete element models for granular flows, the bonded particle model and the TDEM are considered for quantitative comparison of computational performance. The performance measured on NVIDIA(R) Tesla™ P100 GPU is compared with that attained by running the same OpenCL code on Intel(R) Xeon™ E5-2630 CPU with 20 cores. The presented GPU implementation of the TDEM increases the computing time of the bonded particle model only up to 30.6 % of the computing time of the simplest DEM model, which is an acceptable decrease in the performance required for solving coupled thermomechanical problems
International audienceThe benefit of using the discrete element method (DEM) for simulations of frac...
Direct numerical simulation (DNS) for gas-solid flow is implemented on a multi-scale supercomputing ...
This paper presents a Graphics Processing Unit (GPU) acceleration of an iteration-based discrete vel...
Overview of GPU usage while solving different engineering problems, comparison between CPU and GPU c...
This thesis deals with the simulation of heat diffusion in human tissues. The proposed algorithm use...
In this talk, we will give an overview of the main techniques used for the parallelization of numeri...
AbstractBlaze-DEMGPU is a modular GPU based discrete element method (DEM) framework that supports po...
Understanding the dynamical behavior of particulate materials is extremely important to many industr...
A great challenge for scientists is to execute their computational applications efficiently. Nowaday...
© 2018 Dr Michael WangThe Lattice Monte Carlo (LMC) method has been successfully applied to a range ...
In this paper a parallel computing algorithm for discrete element systems is presented. The discrete...
Granular materials are important for many different disciplines, e.g. geomechanics, civil engineerin...
We present a highly parallel CUDA kernel based on the Lattice Monte Carlo (LMC) method for transient...
This work presents an accelerated simulation of heat and mass transfer by coupling Discrete Element ...
Parallelization has become a universal technique for computing an intensive scientific simulation to...
International audienceThe benefit of using the discrete element method (DEM) for simulations of frac...
Direct numerical simulation (DNS) for gas-solid flow is implemented on a multi-scale supercomputing ...
This paper presents a Graphics Processing Unit (GPU) acceleration of an iteration-based discrete vel...
Overview of GPU usage while solving different engineering problems, comparison between CPU and GPU c...
This thesis deals with the simulation of heat diffusion in human tissues. The proposed algorithm use...
In this talk, we will give an overview of the main techniques used for the parallelization of numeri...
AbstractBlaze-DEMGPU is a modular GPU based discrete element method (DEM) framework that supports po...
Understanding the dynamical behavior of particulate materials is extremely important to many industr...
A great challenge for scientists is to execute their computational applications efficiently. Nowaday...
© 2018 Dr Michael WangThe Lattice Monte Carlo (LMC) method has been successfully applied to a range ...
In this paper a parallel computing algorithm for discrete element systems is presented. The discrete...
Granular materials are important for many different disciplines, e.g. geomechanics, civil engineerin...
We present a highly parallel CUDA kernel based on the Lattice Monte Carlo (LMC) method for transient...
This work presents an accelerated simulation of heat and mass transfer by coupling Discrete Element ...
Parallelization has become a universal technique for computing an intensive scientific simulation to...
International audienceThe benefit of using the discrete element method (DEM) for simulations of frac...
Direct numerical simulation (DNS) for gas-solid flow is implemented on a multi-scale supercomputing ...
This paper presents a Graphics Processing Unit (GPU) acceleration of an iteration-based discrete vel...