To maintain load balance among processes in parallel calculation, we introduced a dynamic load balancing technique called Dynamic Domain Decomposition (DDD) into our newly developed multi-scale Particle-In-Cell (PIC) simulation code in which Adaptive Mesh Refinement (AMR) is incorporated. To evaluate the effectiveness of DDD, we performed test simulations with a model in which four particle clusters are non-uniformly distributed with different velocities. We confirmed that load imbalance among processes caused by non-uniform plasma distribution was successfully resolved by DDD and the computational time becomes almost half of that for simulation of the same model without using DDD
The XGC1 plasma microturbulence particle-in-cell simulation code has both particle-based and mesh-ba...
The highly scalable program Massively Parallel Multi-Particle Collision (MP2C) is currently develope...
ABSTRACT. To achieve scalable parallel performance in Molecular Dynamics Simulations, we have modele...
AbstractSpace plasma phenomena occur in multi-scale processes from the electron scale to the magneto...
The problem of load balancing for parallelized particle simulations implemented on MIMD machines is ...
We present a flexible and fully adaptive dynamic load-balancing scheme, which is designed for partic...
This paper considers load balancing in Particle-in-Cell plasma simulation on cluster systems. We pro...
AbstractIn order to e xecute various finite-difference method applications on large-scale parallel c...
A novel adaptive technique for electromagnetic Particle In Cell (PIC) plasma simulations is presente...
. Particle-in-cell (PIC) codes are suited for simulating kinetic effects relevant in determining the...
The simulation of large particle systems with the Discrete Element Method can be very time consuming...
International audienceAs a multi-purpose Particle-In-Cell (PIC) code, SMILEI gathers many different ...
e have developed a new algorithm for implementation of plasma particle-in-cell (PIC) simulation code...
The numerical simulation of the driving beams in a heavy ion fusion power plant is a challenging tas...
The present paper describes a parallel unstructured-mesh Plasma simulation code based on Finite Volu...
The XGC1 plasma microturbulence particle-in-cell simulation code has both particle-based and mesh-ba...
The highly scalable program Massively Parallel Multi-Particle Collision (MP2C) is currently develope...
ABSTRACT. To achieve scalable parallel performance in Molecular Dynamics Simulations, we have modele...
AbstractSpace plasma phenomena occur in multi-scale processes from the electron scale to the magneto...
The problem of load balancing for parallelized particle simulations implemented on MIMD machines is ...
We present a flexible and fully adaptive dynamic load-balancing scheme, which is designed for partic...
This paper considers load balancing in Particle-in-Cell plasma simulation on cluster systems. We pro...
AbstractIn order to e xecute various finite-difference method applications on large-scale parallel c...
A novel adaptive technique for electromagnetic Particle In Cell (PIC) plasma simulations is presente...
. Particle-in-cell (PIC) codes are suited for simulating kinetic effects relevant in determining the...
The simulation of large particle systems with the Discrete Element Method can be very time consuming...
International audienceAs a multi-purpose Particle-In-Cell (PIC) code, SMILEI gathers many different ...
e have developed a new algorithm for implementation of plasma particle-in-cell (PIC) simulation code...
The numerical simulation of the driving beams in a heavy ion fusion power plant is a challenging tas...
The present paper describes a parallel unstructured-mesh Plasma simulation code based on Finite Volu...
The XGC1 plasma microturbulence particle-in-cell simulation code has both particle-based and mesh-ba...
The highly scalable program Massively Parallel Multi-Particle Collision (MP2C) is currently develope...
ABSTRACT. To achieve scalable parallel performance in Molecular Dynamics Simulations, we have modele...