BLOB Computing

Frédéric Gruau 1 Yves Lhuillier 1 Philippe Reitz 2 Olivier Temam 3
1 LIRMM/HE - Hors Équipe
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
2 LIRMM/DOC - Données Objets Composants pour les systèmes complexes
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
3 ALCHEMY - Architectures, Languages and Compilers to Harness the End of Moore Years
LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, CNRS - Centre National de la Recherche Scientifique : UMR8623, Inria Saclay - Ile de France
Abstract : Current processor and multiprocessor architectures are almost all based on the Von Neumann paradigm. Based on this paradigm, one can build a general-purpose computer using very few transis- tors, e.g., 2250 transistors in the first Intel 4004 microprocessor. In other terms, the notion that on-chip space is a scarce resource is at the root of this paradigm which trades on-chip space for program execution time. Today, technology considerably relaxed this space constraint. Still, few research works question this paradigm as the most adequate basis for high-performance computers, even though the paradigm was not initially designed to scale with technology and space. In this article, we propose a different computing model, defining both an architecture and a language, that is intrinsically designed to exploit space; we then investigate the implementation issues of a computer based on this model, and we provide simulation results for small programs and a simplified architecture as a first proof of concept. Through this model, we also want to outline that revisit- ing some of the principles of today’s computing paradigm has the potential of overcoming major limitations of current architectures.
Type de document :
Communication dans un congrès
Computing Frontiers, Apr 2004, Ischia, Italy. pp.125-139, 2004
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  • HAL Id : lirmm-00108879, version 1

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Frédéric Gruau, Yves Lhuillier, Philippe Reitz, Olivier Temam. BLOB Computing. Computing Frontiers, Apr 2004, Ischia, Italy. pp.125-139, 2004. 〈lirmm-00108879〉

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