A flexible tool for evaluating scheduling, synchronization and partitioning algorithms on multiprocessors

Multi-core platforms seem to be the way towards increasing performance of processors. As the multi-cores are becoming the defacto processors, the need for new scheduling and resource sharing protocols has arisen. However, taking such technology to an industrial setting, it needs to be evaluated such that appropriate scheduling, synchronization and partitioning algorithms are selected. In this paper we present our ongoing work on a tool for investigation and evaluation of different approaches to scheduling, synchronization and task allocation on multi-core platforms. Our tool allows for comparison of different approaches with respect to a number of parameters such as number of schedulable systems and number of processors required for scheduling. The output of the tool includes a set of information and graphs to facilitate evaluation and comparison of different approaches.