Exploiting cluster networks for distributed object groups and collective operations

TACO (Topologies and Collections) is a template-based object platform that strongly supports distributed data-parallel programming by means of distributed object groups and collective operations. This paper introduces TACO'S basic concepts and provides a performance analysis for collective operations on various cluster architectures with several different networks.