Ianus: an Adpative FPGA Computer

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dc.creatorIanus Collaboration
dc.creatorBelletti, F.
dc.creatorCampos, I.
dc.creatorCruz, A.
dc.creatorFernandez, L. A.
dc.creatorJimenez, S.
dc.creatorMaiorano, A.
dc.creatorMantovani, F.
dc.creatorMarinari, E.
dc.creatorMartin-Mayor, V.
dc.creatorNavarro, D.
dc.creatorMunoz-Sudupe, A.
dc.creatorGaviro, S. Perez
dc.creatorPoli, G.
dc.creatorRuiz-Lorenzo, J. J.
dc.creatorSchifano, F.
dc.creatorSciretti, D.
dc.creatorTarancon, A.
dc.creatorTellez, P.
dc.creatorTripiccione, R.
dc.creatorVelasco, J. L.
dc.date2005-07-12
dc.date.accessioned2026-07-07T06:31:40Z
dc.date.available2026-07-07T06:31:40Z
dc.descriptionDedicated machines designed for specific computational algorithms can outperform conventional computers by several orders of magnitude. In this note we describe {\it Ianus}, a new generation FPGA based machine and its basic features: hardware integration and wide reprogrammability. Our goal is to build a machine that can fully exploit the performance potential of new generation FPGA devices. We also plan a software platform which simplifies its programming, in order to extend its intended range of application to a wide class of interesting and computationally demanding problems. The decision to develop a dedicated processor is a complex one, involving careful assessment of its performance lead, during its expected lifetime, over traditional computers, taking into account their performance increase, as predicted by Moore's law. We discuss this point in detail.
dc.identifierhttps://arxiv.org/abs/cond-mat/0507270
dc.identifierhttp://arxiv.org/abs/cond-mat/0507270
dc.identifierComputing in Science & Engineering 8, 41-49 (2006)
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/98674
dc.subjectDisordered Systems and Neural Networks
dc.subjectOther Condensed Matter
dc.subjectComputational Physics
dc.titleIanus: an Adpative FPGA Computer
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