A Multi-Step Approach for Scheduling Tasks with Synchronization on Clusters of Computers

In this work, a two-step approach is adopted for scheduling tasks with synchronous inter-task communication. To that end, an efficient algorithm, called GLB-Synch, is introduced for mapping clusters and ordering tasks on processors. The algorithm used the information obtained during the clustering step for selecting a cluster to be mapped on the least loaded processor. A performance study has been conducted on the GLB-Synch algorithm by simulation. A multi-step scheduling setup has been performed based on a previously developed algorithm for clustering DAGs with synchronous communication, called NLC-SynchCom, and using synthesized DAGs. We have shown by analysis and experimentation that the GLB-Synch algorithm retains the same low complexity cost of the first step for clustering. The performance results highlight the drawback of synchronization on speedup scalability