Paper Info
Title
Benchmarking MIC architectures with Monte Carlo simulations of spin glass systems.
Abstract
Spin glasses - theoretical models used to capture several physical properties of real glasses -are mostly studied by Monte Carlo simulations. The associated algorithms have a very large and easily identifiable degree of available parallelism, that can also be easily cast in SIMD form. State-of-the-art multi- and many-core processors and accelerators are therefore a promising computational platform to support these Grand Challenge applications. In this paper we port and optimize for many-core processors a Monte Carlo code for the simulation of the 3D Edwards Anderson spin glass, focusing on a dual eight-core Sandy Bridge processor, and on a Xeon-Phi co-processor based on the new Many Integrated Core architecture. We present performance results, discuss bottlenecks preventing further performance gains and compare with the corresponding figures for GPU-based implementations and for application-specific dedicated machines.
Year
DOI
Venue
2013
10.1109/HiPC.2013.6799111
HiPC
Keywords
Field
DocType
Monte Carlo methods,multiprocessing systems,optimisation,physics computing,spin glasses,3D Edwards Anderson spin glass,MIC architecture benchmarking,Many Integrated Core architecture,Monte Carlo simulations,Xeon-Phi coprocessor,dual eight-core Sandy Bridge processor,many-core processor optimization,spin glass systems
Monte Carlo method,Lattice (order),Instruction set,Computer science,Spin glass,Parallel computing,SIMD,Theoretical models,Benchmarking
Conference
ISSN
Citations 
PageRank 
1094-7256
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Alessandro Gabbana1253.02
Marcello Pivanti2627.43
Sebastiano Fabio Schifano319128.37
Raffaele Tripiccione414520.46