Ianus: An Adaptive FPGA Computer
Computing in Science and Engineering
Maxwell - a 64 FPGA Supercomputer
AHS '07 Proceedings of the Second NASA/ESA Conference on Adaptive Hardware and Systems
Anton, a special-purpose machine for molecular dynamics simulation
Communications of the ACM - Web science
Finding Speedup in Parallel Processors
ISPDC '08 Proceedings of the 2008 International Symposium on Parallel and Distributed Computing
Janus: An FPGA-Based System for High-Performance Scientific Computing
Computing in Science and Engineering
Monte Carlo simulations of spin glass systems on the cell broadband engine
PPAM'09 Proceedings of the 8th international conference on Parallel processing and applied mathematics: Part I
Novo-G: At the Forefront of Scalable Reconfigurable Supercomputing
Computing in Science and Engineering
Monte carlo simulations of spin systems on multi-core processors
PARA'10 Proceedings of the 10th international conference on Applied Parallel and Scientific Computing - Volume Part I
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We describe Janus, an application-driven architecture for Monte Carlo simulations of spin glasses. Janus is a massively parallel architecture, based on reconfigurable FPGA nodes; it offers two orders of magnitude better performance than commodity systems for spin glass applications. The first generation Janus machine has been operational since early 2008; we are currently developing a new generation, that will be on line in early 2013. In this paper we present the Janus architecture, describe both implementations and compare their performances with those of commodity systems.