ISCAS OpenIR
基于异构多核平台的同步数据流图帕累托优化与调度
Alternative TitlePareto Optimization and Scheduling of Synchronous Dataflow Graphs on Heterogeneous Multicore Platform
顾玉磊; 朱雪阳; 晏荣杰; 张广泉
2015
Source计算机科学
ISSN1002-137X
Volume42Issue:11Pages:43-47
English Abstract同步数据流图被广泛用于多媒体和数字信号处理程序等流应用程序的建模。流应用程序须达到一定吞吐量才能流畅运行,利用异构多核处理器来进一步提高流应用程 序的吞吐量已经成为当今嵌入式系统的发展趋势,但是提高吞吐量往往伴随着能耗的增加。为了解决这个问题,基于异构多核平台的同步数据流图系统模型,给出了 求解所有能耗和吞吐量的帕累托优化点及其相应静态调度的方法。首先将系统模型转换为时间自动机网络,并将分析目标转换为时序逻辑公式;再使用实时模型检测 工具UPPAAL寻找解决方案;最后对UPPAAL返回的结果进行分析,找出满足要求的调度。由于模型检测方法可对问题空间进行穷尽搜索,该方法得到的结 果是精确的。该方法可帮助设计者在系统开发早期了解系统能耗和吞吐量的量化关系,有利于缩短系统的开发周期,降低开发成本。
Indexed TypeCSCD
AbstractSynchronous dataflow graphs(SDFGs) are widely used to model streaming applications such as multimedia and digital signal processing applications.Streaming applications are usually required to reach a high throughput to guarantee smooth running.Using heterogeneous multicore processors to improve the throughput of streaming applications has become a feasible solution.However,a higher throughput is usually achieved with the increase of energy consumption.We presented a method to explore the Pareto space of energy consumption and throughput and find the schedule of each Pareto point.A system model includes an SDFG description for the application and a heterogeneous multicore platform.The system model is transformed to a network of timed automata(NTA) and the optimization goals are formalized as temporal logic formulae.The NTA and formulae are then used as the input of the real time model checking tool UPPAAL.The Pareto points and corresponding schedules by the trace provided by UPPAAL can be obtained.Our method is exact,which is benefited from the exhaustive search nature of model checking technique.The method can be used to help designers to understand the quantitative relationship between energy consumption and throughput in the design period,shortening development cycles and reducing costs of system developments.
Keyword同步数据流图 异构多核平台 帕累托优化 调度 模型检测
Department顾玉磊, 苏州大学计算机科学与技术学院, 计算机科学国家重点实验室, 苏州, 江苏 215006, 中国;朱雪阳, 中国科学院软件研究所, 计算机科学国家重点实验室, 北京 100190, 中国;晏荣杰, 中国科学院软件研究所, 计算机科学国家重点实验室, 北京 100190, 中国;张广泉, 苏州大学计算机科学与技术学院, 苏州, 江苏 215006, 中国;
Language中文
CSCD IDCSCD:5563054
Content Type期刊论文
URIhttp://ir.iscas.ac.cn/handle/311060/17397
Collection中国科学院软件研究所
Recommended Citation
GB/T 7714
顾玉磊,朱雪阳,晏荣杰,等. 基于异构多核平台的同步数据流图帕累托优化与调度[J]. 计算机科学,2015,42(11):43-47.
APA 顾玉磊,朱雪阳,晏荣杰,&张广泉.(2015).基于异构多核平台的同步数据流图帕累托优化与调度.计算机科学,42(11),43-47.
MLA 顾玉磊,et al."基于异构多核平台的同步数据流图帕累托优化与调度".计算机科学 42.11(2015):43-47.
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