Energy-Efficient Joint Scheduling and Application-Specific Interconnection Design

“…The phase ordering problem of register allocation, instruction scheduling and cluster assignment in the clustered VLIW architecture is a complicated problem [38][39][40]. Ullman [24] proved that scheduling in the clustered VLIW architecture is NP-complete.…”

Section: Related Workmentioning

confidence: 99%

WCET-aware re-scheduling register allocation for real-time embedded systems with clustered VLIW architecture

Huang

Zhao

Xue

2012

Proceedings of the 13th ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, Tools and Theory for Embedded Syst

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Worst-Case Execution Time (WCET) is one of the most important metrics in real-time embedded system design. For embedded systems with clustered VLIW architecture, register allocation, instruction scheduling, and cluster assignment are three key activities to pursue code optimization which have profound impact on WCET. At the same time, these three activities exhibit a phase ordering problem: Independently performing register allocation, scheduling and cluster assignment could have a negative effect on the other phases, thereby generating sub-optimal compiled codes. In this paper, a compiler level optimization, namely WCET-aware Re-scheduling Register Allocation (WRRA), is proposed to achieve WCET minimization for real-time embedded systems with clustered VLIW architecture. The novelty of the proposed approach is that the effects of register allocation, instruction scheduling and cluster assignment on the quality of generated code are taken into account for WCET minimization. These three compilation processes are integrated into a single phase to obtain a balanced result. The proposed technique is implemented in Trimaran 4.0. The experimental results show that the proposed technique can reduce WCET effectively, by 33% on average.

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Evaluation Method of the Spatial-Temporal Complementary Characteristics Between Power Source and Load Based on Power Big Data

Kang

Yan

et al. 2019

IOP Conf. Ser.: Earth Environ. Sci.

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With the rapid development of the intermittent renewable energy power generations such as wind power and solar power and the new random load such as EV, the double randomness become a great threat the safe and stable operation of power system. It has become a hot issue raised increasingly concern from the academic and engineering fields that how to reduce the randomness and volatility of the two sides of the system by utilizing the spatial-temporal complementary characteristics of different energy resources and loads. In this paper, the evaluation model of complementary characteristics between power and load across time and space based on the Power Big Data theory is proposed. By simulating the complementarity of the power supply and load between Northwest China and European load centres from three dimensions: load-load complementarity, source-source complementarity and source-load complementarity, it proves there are great complementary benefit by interconnecting the grids with different regions across continents, which provides a theoretical basis for the next implementation of the Global Energy Interconnection.

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Energy-Efficient Joint Scheduling and Application-Specific Interconnection Design

Cited by 4 publications

References 22 publications

Review of Electromagnetic failure, optimization techniques and stress prediction in Interconnect

Review of Electromagnetic failure, optimization techniques and stress prediction in Interconnect

WCET-aware re-scheduling register allocation for real-time embedded systems with clustered VLIW architecture

Evaluation Method of the Spatial-Temporal Complementary Characteristics Between Power Source and Load Based on Power Big Data

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