ITMD: run-time management of concurrent multi-threaded applications on heterogeneous multi-cores

Heterogeneous multi-cores often deal with multiple applications having different performance requirements concurrently, which generate varying and mixed workloads. Runtime management is required for adapting to such performance requirements and workload variabilities, and to achieve energy efficiency. It is challenging to efficiently exploit different types of cores simultaneously and DVFS potential of cores. We present a run-time management approach that first selects thread-to-core mapping based on the performance requirements and resource availability. Then, it applies online adaptation by adjusting the voltage-frequency (V-f) levels to achieve energy optimization. We demonstrate the proposed run-time management approach on the Odroid-XU3, with various combinations of multi-threaded applications from PARSEC and SPLASH benchmarks. Results show an average improvement in energy efficiency up to 33% compared to existing approaches