2012
DOI: 10.1007/978-3-642-28151-8_22
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Monte Carlo Simulations of Spin Systems on Multi-core Processors

Abstract: We implement Monte Carlo algorithms for the simulation of spin-glass systems and optimize our codes for recent multi-core CPU and GPU architectures. We consider both the Ising (binary) and Heisenberg (floating-point) spin-glass models. We provide performance figures for the Intel Nehalem and the IBM Cell/BE CPUs and the Nvidia Tesla C1060 GPU; we also draw a comparison with the performance of dedicated machines, such as the Janus system.

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Cited by 6 publications
(1 citation statement)
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“…In the following years, processors have changed significantly with the introduction of many-core CPUs and of general purpose GPUs; these are better SG machines than traditional CPUs as one maps the available parallelism on more cores (or on more threads, for GPUs). Over the years, we have compared [43,44] JANUS with several multi-core systems. In Table 1 we report the best SUT measured on several processors for a simulation of a lattice of 64 3 sites.…”
Section: Performance Comparison With Commodity Computersmentioning
confidence: 99%
“…In the following years, processors have changed significantly with the introduction of many-core CPUs and of general purpose GPUs; these are better SG machines than traditional CPUs as one maps the available parallelism on more cores (or on more threads, for GPUs). Over the years, we have compared [43,44] JANUS with several multi-core systems. In Table 1 we report the best SUT measured on several processors for a simulation of a lattice of 64 3 sites.…”
Section: Performance Comparison With Commodity Computersmentioning
confidence: 99%