Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2005-07-12
Computing in Science & Engineering 8, 41-49 (2006)
Physics
Condensed Matter
Disordered Systems and Neural Networks
Scientific paper
Dedicated 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.
Belletti F.
Campos Isabel
Cruz Andres
Fernández Luis A.
Gaviro Perez S.
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