Treffer: Interconnect-aware mapping of applications to coarse-grain reconfigurable architectures
Tallwood Venture Capital, Palo Alto, United States
University of California, San Diego, United States
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Electronics
Weitere Informationen
Coarse-grain reconfigurable architectures consist of a large number of processing elements (PEs) connected together in a network. For mapping applications to such coarse-grain architectures, we present an algorithm that takes into account the number and delay of interconnects. This algorithm maps operations to PEs and data transfers to interconnects in the fabric. We explore three different cost functions that largely affect the performance of the scheduler: (a) priority of the operations, (b) affinity of operations to PEs based on past mapping decisions, and (c) connectivity between the PEs. Our results show that a priority-based operation cost function coupled with a connectivity-based PE cost function gives results that are close to the lower bounds for a range of designs.