Ideas from multi-level relaxation methods are combined with load balancing techniques to achieve a convergence acceleration for a homogeneous work load distribution over a given set of processors when the underlying work function is inhomogeneously distributed in space. The algorithm is based on an orthogonal recursive bisection ap- proach which is evaluated via a hierarchically refined coarse integration. The method only requires a minimal information transfer across processors during the tree traversal steps. It is described of how to partition the system of processors to geometrical space, when global information is needed for the spatial tesselation
This paper demonstrates the use of automatic granularity control as part of dynamic load balancing f...
The highly scalable program Massively Parallel Multi-Particle Collision (MP2C) is currently develope...
This paper demonstrates the use of automatic granularity control as part of dynamic load balancing f...
Most parallel applications suffer from load imbalance, a crucial performance degradation factor. In ...
Most parallel applications suffer from load imbalance, a crucial performance degradation factor. In ...
In parallel computing, obtaining maximal performance is often mandatory to solve large and complex p...
In parallel computing, obtaining maximal performance is often mandatory to solve large and complex p...
The largest supercomputers have millions of independent processors, and concurrency levels are rapid...
The performance of parallel Monte Carlo transport calculations which use both spatial and particle p...
The problem of load balancing for parallelized particle simulations implemented on MIMD machines is ...
One of the most important issues in parallel processing is the mapping of workload to processors. Th...
This paper discusses the implementation of particle based numerical methods on multi-core machines. ...
This paper discusses the implementation of particle based numerical methods on multi-core machines. ...
This paper discusses the implementation of particle based numerical methods on multi-core machines. ...
This paper demonstrates the use of automatic granularity control as part of dynamic load balancing f...
This paper demonstrates the use of automatic granularity control as part of dynamic load balancing f...
The highly scalable program Massively Parallel Multi-Particle Collision (MP2C) is currently develope...
This paper demonstrates the use of automatic granularity control as part of dynamic load balancing f...
Most parallel applications suffer from load imbalance, a crucial performance degradation factor. In ...
Most parallel applications suffer from load imbalance, a crucial performance degradation factor. In ...
In parallel computing, obtaining maximal performance is often mandatory to solve large and complex p...
In parallel computing, obtaining maximal performance is often mandatory to solve large and complex p...
The largest supercomputers have millions of independent processors, and concurrency levels are rapid...
The performance of parallel Monte Carlo transport calculations which use both spatial and particle p...
The problem of load balancing for parallelized particle simulations implemented on MIMD machines is ...
One of the most important issues in parallel processing is the mapping of workload to processors. Th...
This paper discusses the implementation of particle based numerical methods on multi-core machines. ...
This paper discusses the implementation of particle based numerical methods on multi-core machines. ...
This paper discusses the implementation of particle based numerical methods on multi-core machines. ...
This paper demonstrates the use of automatic granularity control as part of dynamic load balancing f...
This paper demonstrates the use of automatic granularity control as part of dynamic load balancing f...
The highly scalable program Massively Parallel Multi-Particle Collision (MP2C) is currently develope...
This paper demonstrates the use of automatic granularity control as part of dynamic load balancing f...