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Data partitioning for maximal scratchpad usage

机译:用于最大刻痕的数据分区

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The energy consumption for Mobile Embedded Systems is a limiting factor because of today's battery capacities. The memory subsystem consumes a large chunk of the energy, necessitating its efficient utilization. Energy efficient scratchpads are thus becoming common, though unlike caches they require to be explicitly utilized. In this paper, an algorithm integrated into a compiler is presented which analyzes the application, partitions an array variable whenever its beneficial, appropriately modifies the application and selects the best set of variables and program parts to be placed onto the scratchpad. Results show an energy improvement between 5.7% and 17.6% for a variety of applications against a previously known algorithm.
机译:由于当今的电池容量,移动嵌入式系统的能量消耗是一个限制因素。存储器子系统消耗大块的能量,需要其有效的利用率。因此,节能刮板正在变得普遍,但与他们需要明确使用的缓存不同。在本文中,提出了一种集成到编译器中的算法,该算法分析了应用程序,每当其有益的时分区数组变量,适当地修改应用程序并选择最佳变量集和程序部件,以将要放置在ScratchPad上。结果表明,对于先前已知的算法,各种应用的能量提高为5.7%和17.6%。

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