Performance Evaluation of ZOMA Preemptive Deadlock Recovery Mechanism for Wormhole Networks

Abstract

This paper presents a novel deadlock recovery mechanism for fully adaptive routing in wormhole interconnection networks and its performance evaluation using simula tion madeling. ZOMA is an efficient mechanism that takes advantage of the concept of wormhole switching in terms of low hardware resource requirements. The perfor mance of the new mechanism can match that of other more expensive deadlock-recovery mechanisms, while requir ing lower hardware resources that are not on the critical path of the switching process. The proposed mechanism creates a new category of deadlock recovery techniques that we refer to as preemptive as opposed to the existing progressive and regressive categories. Performance evalu ation of the proposed mechanism against other routing algorithms and deadlock-recovery techniques is accom plished using the object-oriented simulation approach. The simulator, WormSim, was written in Java for various reasons. Most importantly are the modularity, hierarchy, extensibility, reusability, and flexibility aspects.