An Approach: Applicability of Existing Heterogeneous Multicore Real-Time Task Scheduling in Commercially Available Heterogeneous Multicore Systems

  • Kalyan BaitalEmail author
  • Amlan Chakrabarti
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1042)


Interest in design and use of heterogeneous multicore architectures has been increased in recent years due to the fact that the energy optimization and parallelization in heterogeneous multicore architecture are better than that of homogeneous multicore architecture. In heterogeneous multicore architectures, cores have similar Instruction Set Architecture (ISA) but the characteristics of the cores are different with respect to power and performance. Hence, heterogeneous architecture provides new prospects for energy-efficient computation and parallelization. Heterogeneous systems, furnished with different types of cores provide the mechanism to take actions with respect to irregular communication patterns, energy efficiency, high parallelism, load balancing, and unexpected behaviors. However, designing such heterogeneous systems for the different platforms like cloud, Internet of Things (IoT), Smart Devices, and Embedded Systems is still challenging. This paper studies the commercially available heterogeneous multicore architectures and finds out an approach or method to apply the existing work on heterogeneous multicore real-time task scheduling model to commercially available heterogeneous multicore architecture to achieve the parallelism, load balancing, and maximum throughput. The paper shows that the approach can be applied very efficiently to some of the commercially available heterogeneous systems to establish a generic heterogeneous model for the platforms like cloud, Internet of Things (IoT), Smart Devices, Embedded Systems, and other application areas.


Big core big.LITTLE Heterogeneous Multicore Octa-core Real-time task Small core Xeon Phi 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.National Institute of Electronics and Information Technology, Kolkata CentreKolkataIndia
  2. 2.A. K. Choudhury School of Information Technology, University of CalcuttaKolkataIndia

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