A task duplication scheme for resolving deadlocks in clustered DAGs

This work introduces a duplication-based deadlock resolution (DBDR) scheme in clustered directed acyclic graphs using three methods for duplicating a task. The scheme can be embedded within any clustering technique for handling synchronous communication with an added cost of O(|E| + (|V|)²). The main objective of task duplication, besides to resolving deadlocks, has been the reduction of communication cost and the improvement in the program computation to communication ratio. The embedding of the DBDR scheme within a clustering technique is shown along with the analysis of its complexity. A comparison between deadlock resolution strategy using the DBDR and deadlock avoidance strategy using the same clustering technique is given.