Resource Management for the Tagged Token Dataflow Architecture

Abstract

The Tagged Token Dataflow Architecture is a multiprocessor based on the U-interpreter model of dataflow computation. It captures the essential execution mechanism of the U-interpreter precisely; operations are enabled for execution by the availability of operated data. However, computational resources in the model and the machine are viewed quite differently. This thesis addresses four major resource management issues essential to bridge the gap between the U-interpreter and the Tagged Token Dataflow Architecture.