Abstract
In this paper we present a framework for the automatic identification and selection of convex MIMO instruction-set extensions for reconfigurable architecture. The framework partitions the analysis of the problem into phases of different computational complexity and it generates instruction-set extensions of different granularity. The framework is retargetable and additional clustering policies can be added with just small modification on the design.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Vassiliadis: The molen polymorphic processor. IEEE Trans. on Comp. 53(11) (2004)
Galuzzi: The Instruction-Set Extension Problem: A Survey. In: ARC 2008 (2008)
Alippi: A dag-based design approach for reconfigurable vliw processors. In: DATE 1999 (1999)
Galuzzi: A linear complexity algorithm for the generation of multiple input single output instructions of variable size. In: SAMOS VII
Galuzzi: Automatic selection of application-specific instruction-set extensions. In: CODES+ISSS 2006 (2006)
Galuzzi: A linear complexity algorithm for the automatic generation of convex multiple input multiple output instructions. In: Inter. J. of Elec. (2008) (to appear)
Galuzzi: The spiral search: A linear complexity algorithm for the generation of convex multiple input multiple output instruction-set extensions. In: ICFPT 2007 (2007)
Bonzini: A retargetable framework for automated discovery of custom instructions. In: ASAP 2007 (2007)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Galuzzi, C., Bertels, K. (2008). A Framework for the Automatic Generation of Instruction-Set Extensions for Reconfigurable Architectures. In: Woods, R., Compton, K., Bouganis, C., Diniz, P.C. (eds) Reconfigurable Computing: Architectures, Tools and Applications. ARC 2008. Lecture Notes in Computer Science, vol 4943. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78610-8_29
Download citation
DOI: https://doi.org/10.1007/978-3-540-78610-8_29
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-78609-2
Online ISBN: 978-3-540-78610-8
eBook Packages: Computer ScienceComputer Science (R0)