A framework for the automatic generation of instruction-set extensions for reconfigurable architectures

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. © 2008 Springer-Verlag Berlin Heidelberg.