Context-Aware Dataflow Adaptation Technique for Low-Power Multi-Core Embedded Systems

被引：6

作者：

Jung, Hyeonseok ^{[1
]}

Yang, Hoeseok ^{[1
]}

机构：

[1] Ajou Univ, Dept ECE, Suwon, South Korea

来源：

2018 55TH ACM/ESDA/IEEE DESIGN AUTOMATION CONFERENCE (DAC) | 2018年

基金：

新加坡国家研究基金会;

关键词：

Context-awareness; multi-core; dataflow adaptation;

D O I：

10.1145/3195970.3196015

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Today's embedded systems operate under increasingly dynamic conditions. First, computational workloads can be either fluctuating or adjustable. Moreover, as many devices are battery -powered, it is common to have runtime power management technique, which results in dynamic power budget. This paper presents a design methodology for multi -core systems, based on dataflow specification, that can deal with various contexts. We optimize the original dataflow considering various working conditions, then, autonomously adapt it to a pre -defined optimal form in response to context changes. We show the effectiveness of the proposed technique with a real -life case study and synthetic benchmarks.

引用

页数：6

共 15 条

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