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Issue No. 12 - Dec. (2012 vol. 61)
ISSN: 0018-9340
pp: 1682-1696
Jian-Jun Han , Huazhong University of Science and Technology, Wuhan
Xiaodong Wu , Huazhong University of Science and Technology, Wuhan
Dakai Zhu , University of Texas at San Antonio, San Antonio
Hai Jin , Huazhong University of Science and Technology, Wuhan
Laurence T. Yang , St Francis Xavier University, Antigonish, Canada and Huazhong University of Science and Technology, Antigonish, Wuhan
Jean-Luc Gaudiot , University of California, Irvine, Irvine
Voltage and frequency island (VFI) was recently adopted as an effective energy management technique for multicore processors. For a set of periodic real-time tasks that access shared resources running on a VFI-based multicore system with dynamic voltage and frequency scaling (DVFS) capability, we study both static and dynamic synchronization-aware energy management schemes. First, based on the enhanced MSRP resource access protocol with a suspension mechanism, we devise a synchronization-aware task mapping heuristic for partitioned-EDF scheduling, which assigns tasks that access similar set of resources to the same core to reduce the synchronization overhead and thus improve schedulability. Then, static schemes that assign uniform and different scaled frequencies for tasks on different VFIs are studied. To further exploit dynamic slack, we propose an integrated synchronization-aware slack management framework to appropriately reclaim, preserve, release and steal slack at runtime to slow down the execution of tasks subject to the common voltage/frequency limitation of VFIs and timing/synchronization constraints of tasks. Taking the additional delay due to task synchronization into consideration, the new scheme allocates slack in a fair manner and scales down the execution of both noncritical and critical sections of tasks for more energy savings. Simulation results show that, the synchronization-aware mapping can significantly improve the schedulability of tasks. The energy savings obtained by the static scheme with different frequencies for tasks on different VFIs is close to that of an optimal Integer Nonlinear Programming (INLP) solution. Moreover, compared to the simple extension of existing solutions for uniprocessor systems, our schemes can obtain much better energy savings (up to 40 percent) with comparable DVFS overhead.
Multicore processing, Real time systems, Energy management, Program processors, Synchronization, Access protocols, Energy consumption, Energy efficiency, Power system management, DVFS, Real-time systems, multicore, shared resources, Voltage frequency island (VFI), energy management

H. Jin, L. T. Yang, X. Wu, D. Zhu, J. Gaudiot and J. Han, "Synchronization-Aware Energy Management for VFI-Based Multicore Real-Time Systems," in IEEE Transactions on Computers, vol. 61, no. , pp. 1682-1696, 2012.
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