Paper Info
Title
Monte carlo simulations of spin systems on multi-core processors
Abstract
We optimize codes implementing Monte Carlo simulations of spin-glass systems for some multi-core CPU and GPU architectures. We consider both the binary Ising and floating-point Heisenberg spin-glass models in 3 dimensions. We provide performance figures for the Intel Nehalem quad-core and the IBM Cell/BE CPUs and the Nvidia Tesla C1060 GPU; for the binary model we also draw a comparison with the performance of dedicated computers, such as the Janus machine.
Year
DOI
Venue
2010
10.1007/978-3-642-28151-8_22
PARA (1)
Keywords
Field
DocType
spin system,monte carlo simulation,binary ising,nvidia tesla c1060 gpu,intel nehalem quad-core,janus machine,gpu architecture,performance figure,binary model,spin-glass system,floating-point heisenberg spin-glass model,multi-core processor,ibm cell,monte carlo simulations
Spin-½,IBM,Monte Carlo method,Janus,Computer science,Parallel computing,Ising model,Binary Independence Model,Multi-core processor,Binary number
Conference
Volume
ISSN
Citations 
7133
0302-9743
2
PageRank 
References 
Authors
0.42
3
6
Name
Order
Citations
PageRank
Marco Guidetti1203.64
Andrea Maiorano2213.68
Filippo Mantovani38214.72
Marcello Pivanti4627.43
Sebastiano Fabio Schifano519128.37
Raffaele Tripiccione614520.46