首页> 外文会议>IEEE International Conference on Distributed Computing in Sensor Systems(DCOSS 2007); 20070618-20; Santa Fe,NM(US) >Direct Memory Access Optimization in Wireless Terminals for Reduced Memory Latency and Energy Consumption
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Direct Memory Access Optimization in Wireless Terminals for Reduced Memory Latency and Energy Consumption

机译:无线终端中的直接内存访问优化可降低内存延迟和能耗

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Today, wireless networks are becoming increasingly ubiquitous. Usually several complex multi-threaded applications are mapped on a single embedded system and all of them are triggered by a single wireless stream (which corresponds to the dynamic run-time behavior of the user). It is almost impossible to analyze these systems fully at design-time. Therefore, run-time information has also to be used in order to produce an efficient design. This introduces new challenges, especially for embedded system designers using a Direct Memory Access (DMA) module, who have to know in advance the memory transfer behavior of the whole system, in order to design and program their DMA efficiently. In this paper, we propose a mixed Hardware/Software optimization at system level. More specifically, we propose to adapt DMA usage parameters automatically at run-time based on online information. With our proposed optimization approach we manage to reduce the mean latency of the memory transfers while optimizing energy consumption and system responsiveness. We evaluate our approach using a set of real-life applications and real wireless dynamic streams.
机译:如今,无线网络变得越来越普遍。通常,将几个复杂的多线程应用程序映射到单个嵌入式系统上,并且所有这些应用程序都由单个无线流(与用户的动态运行时行为相对应)触发。在设计时几乎不可能完全分析这些系统。因此,还必须使用运行时信息以产生有效的设计。这就带来了新的挑战,特别是对于使用直接内存访问(DMA)模块的嵌入式系统设计人员而言,他们必须事先了解整个系统的内存传输行为,以便有效地设计和编程其DMA。在本文中,我们提出了系统级别的硬件/软件混合优化。更具体地说,我们建议根据在线信息在运行时自动调整DMA使用参数。通过我们提出的优化方法,我们设法减少了内存传输的平均延迟,同时优化了能耗和系统响应能力。我们使用一组真实的应用程序和真实的无线动态流来评估我们的方法。

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