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1.	Du, G., et al. (author) Work-in-progress : SSS: Self-aware system-on-chip using static-dynamic hybrid method 2017 In: Proceedings of the 2017 International Conference on Compilers, Architectures and Synthesis for Embedded Systems Companion, CASES 2017. - New York, NY, USA : Association for Computing Machinery (ACM). - 9781450351843 Conference paper (peer-reviewed)abstract Network on chip has become the de facto communication standard for multi-core or many-core system on chip, due to its scalability and flexibility. However, temperature is an important factor in NoC design, which affects the overall performance of SoC-decreasing circuit frequency, increasing energy consumption, and even shortening chip lifetime. In this paper, we propose SSS, a self-aware SoC using a static-dynamic hybrid method, which combines dynamic mapping and static mapping to reduce the hot-spots temperature for NoC based SoCs. First, we propose monitoring the thermal distribution for self-state sensoring. Then, in static mapping stage, we calculate the optimal mapping solutions under different temperature modes using discrete firefly algorithm to help self-decision making. Finally, in dynamic mapping stage, we achieve dynamic mapping through configuring NoC and SoC sentient unit for selfoptimizing. Experimental results show SSS can reduce the peak temperature by up to 30.64%. FPGA prototype shows the effectiveness and smartness of SSS in reducing hot-spots temperature. Self-awareness, SoC architecture, NoC.

Du, G., et al. (author)
Work-in-progress : SSS: Self-aware system-on-chip using static-dynamic hybrid method
2017
In: Proceedings of the 2017 International Conference on Compilers, Architectures and Synthesis for Embedded Systems Companion, CASES 2017. - New York, NY, USA : Association for Computing Machinery (ACM). - 9781450351843
Conference paper (peer-reviewed)abstract
- Network on chip has become the de facto communication standard for multi-core or many-core system on chip, due to its scalability and flexibility. However, temperature is an important factor in NoC design, which affects the overall performance of SoC-decreasing circuit frequency, increasing energy consumption, and even shortening chip lifetime. In this paper, we propose SSS, a self-aware SoC using a static-dynamic hybrid method, which combines dynamic mapping and static mapping to reduce the hot-spots temperature for NoC based SoCs. First, we propose monitoring the thermal distribution for self-state sensoring. Then, in static mapping stage, we calculate the optimal mapping solutions under different temperature modes using discrete firefly algorithm to help self-decision making. Finally, in dynamic mapping stage, we achieve dynamic mapping through configuring NoC and SoC sentient unit for selfoptimizing. Experimental results show SSS can reduce the peak temperature by up to 30.64%. FPGA prototype shows the effectiveness and smartness of SSS in reducing hot-spots temperature. Self-awareness, SoC architecture, NoC.

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