Lecture Notes in Computer Science

2011

DOI: 10.1007/978-3-642-23178-0_15

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Dynamic Load Balancing for Lattice Gas Simulations on a Cluster

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Cited by 3 publications

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“…Another Cell/B.E. system was studied in [8]. It adopted dynamic load balancing and achieved highly efficient parallel computation.…”

Section: Introductionmentioning

confidence: 99%

The study of three-dimensional multiphase-flow simulator

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et al. 2013

2013 23rd International Conference on Field Programmable Logic and Applications

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This paper presents an FPGA-based system that aims to perform three-dimensional multiphase-flow simulations. In this implementation, the immiscible lattice-gas automata (LGA) were selected as the target simulation model. The immiscible LGA are classified as the cellular automata (CA), which are a discrete dynamic model. The simulation box consists of an array of cells. The structure of the box should be chosen carefully since it decides the limitation of simulation behaviors. On the other hand, all the lattice structures should be allocated in order so that they enable us to describe the LGA as stencil computation. Here, we expect that the FPGAs have a great possibility in achieving dramatic speedup. Experimental result shows speedups that achieves two orders of magnitude in the immiscible LGA with the face-centred hyper cubic lattice structure.

“…Another Cell/B.E. system was studied in [8]. It adopted dynamic load balancing and achieved highly efficient parallel computation.…”

Section: Introductionmentioning

confidence: 99%

The study of three-dimensional multiphase-flow simulator

¹

,

²

,

³

et al. 2013

2013 23rd International Conference on Field Programmable Logic and Applications

View full text Add to dashboard Cite

This paper presents an FPGA-based system that aims to perform three-dimensional multiphase-flow simulations. In this implementation, the immiscible lattice-gas automata (LGA) were selected as the target simulation model. The immiscible LGA are classified as the cellular automata (CA), which are a discrete dynamic model. The simulation box consists of an array of cells. The structure of the box should be chosen carefully since it decides the limitation of simulation behaviors. On the other hand, all the lattice structures should be allocated in order so that they enable us to describe the LGA as stencil computation. Here, we expect that the FPGAs have a great possibility in achieving dramatic speedup. Experimental result shows speedups that achieves two orders of magnitude in the immiscible LGA with the face-centred hyper cubic lattice structure.

Expanding the Cellular Automata Topologies Library for Parallel Implementation of Synchronous Cellular Automata

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2023

Lecture Notes in Computer Science

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Implementation of large-scale cellular automata models on multi-core computers and clusters

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2013

2013 International Conference on High Performance Computing &Amp; Simulation (HPCS)

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