A mechanism to improve the performance of hybrid MPI-OpenMP applications in grid

In the current scenario of grid computing, heterogeneous resources are distributed across different administrative domains and geographical boundaries. Every node in a cluster consists of multiple core CPUs wherein the distributed memory across nodes and shared memory co-exists, thereby paving way for hybrid architectures. The hybrid programming approach combines MPI and OpenMP libraries to exploit this hierarchical multicore architecture. The clear requirements of such hybrid application and knowledge of the system architecture will help to boost the application performance. Scheduling these hybrid applications on the grid becomes a critical task for obtaining better performance. In this paper, we outline the attempt made in improving the scheduling mechanism for the hybrid applications based on the requirements of the application.