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Simulating spin systems on IANUS, an FPGA-based computer

dc.contributor.authorFernández Pérez, Luis Antonio
dc.contributor.authorMartín Mayor, Víctor
dc.contributor.authorMuñoz Sudupe, Antonio
dc.contributor.authorotros, ...
dc.date.accessioned2023-06-20T11:17:08Z
dc.date.available2023-06-20T11:17:08Z
dc.date.issued2008-02-01
dc.description© 2007 Elsevier B.V. Artículo firmado por 18 autores. The help of G. Poli in the development of the IANUS Ethernet interface is warmly acknowledged.
dc.description.abstractWe describe the hardwired implementation of algorithms for Monte Carlo simulations of a large class of spin models. We have implemented these algorithms as VHDL codes and we have mapped them onto a dedicated processor based on a large FPGA device. The measured performance on one such processor is comparable to O(100) carefully programmed high-end PCs: it turns out to be even better for some selected spin models. We describe here codes that we are currently executing on the IANUS massively parallel FPGA-based system.
dc.description.departmentDepto. de Física Teórica
dc.description.facultyFac. de Ciencias Físicas
dc.description.refereedTRUE
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/38278
dc.identifier.doi10.1016/j.cpc.2007.09.006
dc.identifier.issn0010-4655
dc.identifier.officialurlhttp://doi.org/10.1016/j.cpc.2007.09.006
dc.identifier.relatedurlhttp://www.sciencedirect.com/
dc.identifier.relatedurlhttp://arxiv.org/abs/0704.3573v1
dc.identifier.urihttps://hdl.handle.net/20.500.14352/51916
dc.issue.number3
dc.journal.titleComputer physics communications
dc.language.isoeng
dc.page.final216
dc.page.initial208
dc.publisherElsevier Science Ltd
dc.rights.accessRightsopen access
dc.subject.cdu53
dc.subject.cdu51-73
dc.subject.keywordSpecial-purpose computer
dc.subject.keywordMonte-Carlo-simulations
dc.subject.keywordField ising-model
dc.subject.keywordCritical-behavior
dc.subject.keywordGlass.
dc.subject.ucmFísica (Física)
dc.subject.ucmFísica-Modelos matemáticos
dc.subject.unesco22 Física
dc.titleSimulating spin systems on IANUS, an FPGA-based computer
dc.typejournal article
dc.volume.number178
dcterms.references[1] E. Marinari, G. Parisi, J. J. Ruiz-Lorenzo, Numerical simulations of spin glass systems, in Spin Glasses and Random Fields, (A. P. Young editor) World Scientific, Singapore, 1998. [2] A. Cruz, et al., Comput. Phys. Commun., 133 (2001) 165-176. [3] F.Belletti, et al., Computing in Science and Engineering, 8 (2006) 41-49. [4] the Ianus Collaboration, work in progress. [5] S. F. Edwards, P. W. Anderson, J. Phys. F: Mat. Phys., 5 (1975) 965-974. [6] Y. Imry, S. Ma, Phys. Rev. Lett., 35 (1975) 1399-1401. [7] D. P. Belanger, A. P. Young, J. of Magnetism and Magnetic Materials, 100, (1991) pp. 272-291. [8] A. D. Ogielski, D. A. Huse, Phys. Rev. Lett., 56 (1986) 1298-1301. [9] E. Marinari, et al., Phys. Rev. B, 59 (1999) 8401-8404. [10] A.D. Sokal, Monte Carlo Methods in Statistical Mechanics: Foundations and New Algorithms, Cours de Troisième Cycle de la Physique en Suisse Romande (1989). [11] D. J. Amit, V. Martín-Mayor, Field theory, renormalization group and critical phenomena (third edition) World Scientific, Singapore (2005). [12] D. P. Landau, K. Binder, A Guide to Monte Carlo Simulations in Statistical Physics Cambridge University Press (2005). [13] E. Marinari, G. Parisi, Europhys. Lett., 19 (1992) 451. -- K. Hukushima, K. Nemoto, J. Phys. Soc. Jpn., 65 (1996) 1604. -- M. C. Tesi, et al., J. Stat. Phys., 82 (1996) 155. [14] H. O. Heuer, Comput. Phys. Commun., 59 (1990) 387-398. [15] H. Rieger, Jour. Stat. Phys, 70 (1993) 1063-1073. [16] G.Parisi, F. Rapuano, Phys. Lett. B, 157 (1985) 301-302. [17] H.G. Ballesteros, et al., Phys. Rev. B, 62 (2000) 14237-14245.
dspace.entity.typePublication
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relation.isAuthorOfPublication.latestForDiscovery146096b1-5825-4230-8ad9-b2dad468673b

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