Andrea Bartolini
ABSTRACT
The use of high-end multicore processors today can incur high power density with significant variability in spatial and temporal usage of resources by workloads. This situation leads to power and temperature hotspots, which in turn may lead to non-uniform ageing and accelerated chip failure. These drawbacks can be mitigated by online tuning of system performance and adopting closed-loop thermal and reliability management policies. The development and evaluation of these policies cannot be performed solely on real hardware - due to observability and flexibility limitations or just by relying on trace-driven simulation, due to dependencies present among power, thermal effects, reliability and performance. We present a complete and virtual platform to develop, simulate and evaluate power, temperature and reliability management control strategies for high-performance multicores. The accuracy and effectiveness of our solution are ensured by integrating a established system simulator (Simics) with models for power consumption, temperature distribution and aging. The models are based on characterization on real hardware. Control strategies exploration and design are carried out in the MATLAB/Simulink framework allowing the use of control theory tools. Fast prototyping is achieved by developing a suitable interface between Simics and MATLAB/Simulink, enabling co-simulation of hardware platforms and controllers.
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Index Terms
- A virtual platform environment for exploring power, thermal and reliability management control strategies in high-performance multicores
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