A polynomial placement algorithm for data driven coarse-grained reconfigurable architectures

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2007

Autores

Ricardo Ferreira (Autor) Outra; Alisson Garcia (Autor) Outra; Tiago Teixeira (Autor) Outra; João M. P. Cardoso (Autor) FEUP

Ata de Conferência Internacional

Título: IEEE COMPUTER SOCIETY ANNUAL SYMPOSIUM ON VLSI, PROCEEDINGS: EMERGING VLSI TECHNOLOGIES AND ARCHITECTURES

Páginas: 61-66

IEEE-Computer-Society Annual Symposium on VLSI

Porto Alegre, BRAZIL, MAR 08-11, 2007

Indexação

ISI Proceedings

ISI Web of Knowledge - 10 Citações

Scopus - 9 Citações

INSPEC

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Engenharia electrotécnica, electrónica e informática

CORDIS: Ciências Tecnológicas > Engenharia > Engenharia de computadores

Outras Informações

ID Authenticus: P-007-JVC

DOI: 10.1109/isvlsi.2007.14

Abstract (EN): Coarse-grained reconfigurable computing architectures vary widely in the number and characteristics of the processing elements (cells) and routing topologies used. In order to exploit several different topologies, a place and route framework, able to deal with such vast design exploration space, is of paramount importance. Bearing this in mind, this paper proposes a placement scheme able to target different topologies when considering data-driven reconfigurable architectures. Our approach uses graph models for the target architecture and for the dataflow representation of the application being mapped. Our placement algorithm is guided by a Depth-First Traversal in both the architecture and the application graphs. Two versions of the placement algorithm with respectively O(e) and O(e + n(3)) computational complexities are presented, where e is the number of edges in the dataflow representation of the application and n is the number of cells in the graph model of the architecture. The achieved experimental results show that our approach can be useful to exploit different interconnect topologies as far as coarse-grained reconfigurable computing architectures are concerned.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6