Overhead Management in Multi-Core Environment
In multi-core systems, various factors like inter-process communication, dependency, resource sharing and scheduling, level of parallelism, synchronization, number of available cores etc. influence the extent of possible High Performance Computing parallelization. These parameters if not managed to the root level, later surface as overheads during execution. This paper emphasizes on these parameters of parallelism, their overheads of parallelization and its effective management for optimal parallel execution under any domain. As a whole, we focus on the Dense Linear Algebra (DLA) domain and specifically on Matrix Multiplication and sorting domains. These domains are chosen as they find application in various sectors of scientific and mathematical applications. The comparative analysis of results obtained clarifies the trade-off between serial and parallel execution of DLA problems the surfacing overheads and their possible and effective management.