Design Methodology for Responsive and Rrobust MIMO Control of Heterogeneous Multicores

Heterogeneous multicore processors (HMPs) are commonly deployed to meet the performance and power requirements of emerging workloads. HMPs demand adaptive and coordinated resource management techniques to control such complex systems. While Multiple-Input-Multiple-Output (MIMO) control theory has be...

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Bibliographic Details
Published in:IEEE transactions on multi-scale computing systems 2018-10, Vol.4 (4), p.944-951
Main Authors: Muck, Tiago, Donyanavard, Bryan, Moazzemi, Kasra, Rahmani, Amir M., Jantsch, Axel, Dutt, Nikil
Format: Article
Language:English
Subjects:
Actuators
Adaptive control
Complex systems
Complexity
Computer networks
Control theory
Heterogeneous multiprocessors
Microprocessors
MIMO
MIMO (control systems)
MIMO communication
Modelling
Multicore processing
Processors
Resource management
Robust control
Stability
System dynamics
system modeling
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Summary:Heterogeneous multicore processors (HMPs) are commonly deployed to meet the performance and power requirements of emerging workloads. HMPs demand adaptive and coordinated resource management techniques to control such complex systems. While Multiple-Input-Multiple-Output (MIMO) control theory has been applied to adaptively coordinate resources for single-core processors, the coordinated management of HMPs poses significant additional challenges for achieving robustness and responsiveness, due to the unmanageable complexity of modeling the system dynamics. This paper presents, for the first time, a methodology to design robust MIMO controllers with rapid response and formal guarantees for coordinated management of HMPs. Our approach addresses the challenges of: (1) system decomposition and identification; (2) selection of suitable sensor and actuator granularity; and (3) appropriate system modeling to make the system identifiable as well as controllable. We demonstrate the practical applicability of our approach on an ARM big.LITTLE HMP platform running Linux, and demonstrate the efficiency and robustness of our method by designing MIMO-based resource managers.
ISSN:2332-7766
2332-7766
DOI:10.1109/TMSCS.2018.2808524