Tools
Sorted by:
Try your query at:
 |
 |
 |
 |
 |
 |
Results 1 - 10
of
235
Performance Enhancement Strategies for Multi-Block Overset Grid CFD Applications
, 2003
"... The overset grid methodology has significantly reduced time-to-solution of highfidelity computational fluid dynamics (CFD) simulations about complex aerospace configurations. The solution process resolves the geometrical complexity of the problem domain by using separately generated but overlapping ..."
Abstract
- Add to MetaCart
technique for grid grouping are also provided. Results indicate that performance depends critically on the level of latency hiding and the quality of load balancing across the processors. Key words: parallel performance, load balancing, multi-block applications, computational fluid dynamics
Abstract A LOAD-BALANCING TOOL FOR STRUCTURED MULTI-BLOCK CFD APPLICATIONS APPLIED TO A PARALLEL NEWTON-KRYLOV ALGORITHM
, 2012
"... For high-fidelity parallel computational fluid dynamic (CFD) simulations, multi-block grid methodology makes it possible to simulate flows around complex geometries. An automatic load-balancing tool is developed for a parallel Newton-Krylov algorithm that uses multi-block grids. The load-balancing t ..."
Abstract
- Add to MetaCart
For high-fidelity parallel computational fluid dynamic (CFD) simulations, multi-block grid methodology makes it possible to simulate flows around complex geometries. An automatic load-balancing tool is developed for a parallel Newton-Krylov algorithm that uses multi-block grids. The load-balancing
Mesh Partitioning: a Multilevel Balancing and Refinement Algorithm
, 1998
"... Multilevel algorithms are a successful class of optimisation techniques which address the mesh partitioning problem. They usually combine a graph contraction algorithm together with a local optimisation method which refines the partition at each graph level. In this paper we present an enhancement o ..."
Abstract
-
Cited by 81 (22 self)
- Add to MetaCart
of the technique which uses imbalance to achieve higher quality partitions. We also present a formulation of the Kernighan-Lin partition optimisation algorithm which incorporates load-balancing. The resulting algorithm is tested against a different but related state-ofthe -art partitioner and shown to provide
The Improvement of Dynamic Load Balancing Strategy in Grid Computing
"... Abstract- Load balancing is one of the major search areas in grid computing. The strategy of the grid computing is another important topic. Job scheduling is the way of scheduling jobs in a grid environment that contains heterogeneous resources. The strategy of the grid computing describes the overa ..."
Abstract
- Add to MetaCart
Abstract- Load balancing is one of the major search areas in grid computing. The strategy of the grid computing is another important topic. Job scheduling is the way of scheduling jobs in a grid environment that contains heterogeneous resources. The strategy of the grid computing describes
Enhanced Genetic Algorithm Based Load Balancing in Grid
"... Load Balancing (LB) has been an increasingly important issue for handling computational intensive task in a grid system. By developing strategies that can schedule such tasks to resources in a way that balance out the load, the total processing time will be reduced with improved resource utilization ..."
Abstract
- Add to MetaCart
Load Balancing (LB) has been an increasingly important issue for handling computational intensive task in a grid system. By developing strategies that can schedule such tasks to resources in a way that balance out the load, the total processing time will be reduced with improved resource
Dynamic Load Balancing Strategy for Grid Computing
"... Abstract — Workload and resource management are two essential functions provided at the service level of the grid software infrastructure. To improve the global throughput of these software environments, workloads have to be evenly scheduled among the available resources. To realize this goal severa ..."
Abstract
- Add to MetaCart
several load balancing strategies and algorithms have been proposed. Most strategies were developed in mind, assuming homogeneous set of sites linked with homogeneous and fast networks. However for computational grids we must address main new issues, namely: heterogeneity, scalability and adaptability
Load-Balancing for Parallel Adaptive Unstructured Grids
, 1998
"... A parallel method for the dynamic partitioning of unstructured meshes is outlined. The method includes diffusive load-balancing techniques and an iterative optimisation technique known as relative gain optimisation which both balances the workload and attempts to minimise the interprocessor communic ..."
Abstract
-
Cited by 16 (9 self)
- Add to MetaCart
more importantly, the algorithm results in only a small fraction of the amount of data migration compared to the static partitioners. Key words. graph-partitioning, adaptive unstructured meshes, load-balancing, parallel computing. 1 Introduction The need for mesh partitioning arises naturally in many
Load Balancing Unstructured Adaptive Grids for CFD Problems
- 8TH IEEE SYMPOSIUM ON PARALLEL AND DISTRIBUTED PROCESSING
, 1997
"... Mesh adaption is a powerful tool for efficient unstructured-grid computations but causes load imbalance among processors on a parallel machine. A dynamic load balancing method is presented that balances the workload across all processors with a global view. After each parallel tetrahedral mesh ad ..."
Abstract
-
Cited by 18 (5 self)
- Add to MetaCart
Mesh adaption is a powerful tool for efficient unstructured-grid computations but causes load imbalance among processors on a parallel machine. A dynamic load balancing method is presented that balances the workload across all processors with a global view. After each parallel tetrahedral mesh
Dual-Level Parallelism Improves Load-Balance in Coastal . . .
, 2000
"... Numerical grid generation techniques play an important role in the numerical solution of partial di#erential equations on arbitrarily-shaped regions. For coastal ocean modeling, in particular, a one-block grid covering the region of interest is most commonly used. Most bodies of water have compli ..."
Abstract
-
Cited by 1 (1 self)
- Add to MetaCart
of water; e.g., Paci#c Ocean. In this study,weintroduce a multi-block grid generation technique and a dual-level parallel implementation to eliminate these problems. Message Passing Interface #MPI# is used to parallelize the Princeton Ocean Model #POM# ocean circulation code such that each grid block
Self-organizing agents for grid load balancing
- in 5th International Workshop on Grid Computing (GRID 2004
, 2004
"... A computational grid is a wide-area computing environment for cross-domain resource sharing and service integration. Resource management and load balancing are key concerns when implementing grid middleware and improving resource utilization. Grid resource management can be implemented as a multiage ..."
Abstract
-
Cited by 19 (0 self)
- Add to MetaCart
A computational grid is a wide-area computing environment for cross-domain resource sharing and service integration. Resource management and load balancing are key concerns when implementing grid middleware and improving resource utilization. Grid resource management can be implemented as a
Results 1 - 10
of
235
