Abstract: Heterogeneous Multi-core Processors (HMP) are better to schedule jobs as compare to homogenous multi-core processors. There are two main factors associated while analyzing both architectures i.e. performance and power consumption. HMP incorporates cores of various types or complexities in a solitary chip. Hence, HMP is capable to address both throughput and productivity for different workloads by coordinating execution assets to the needs of every application. The primary objective of this study is to improve the dynamic selection of the processor core to fulfill the power and performance requirements using a task scheduler. In the proposed solution, there will be dynamic priority lists for tasks and available cores. The tasks to core mapping is performed on the basis of priorities of the tasks and cores.

Muhammad Rehman Zafar and Muhammad Asfand-e-Yar, “Scheduling on Heterogeneous Multi-core Processors Using Stable Matching Algorithm” International Journal of Advanced Computer Science and Applications(IJACSA), 7(6), 2016. http://dx.doi.org/10.14569/IJACSA.2016.070666

@article{Zafar2016,
title = {Scheduling on Heterogeneous Multi-core Processors Using Stable Matching Algorithm},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.070666},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070666},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {6},
author = {Muhammad Rehman Zafar and Muhammad Asfand-e-Yar}
}