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Customized pipeline and instruction set architecture for embedded processing engines

机译:嵌入式处理引擎的定制管道和指令集架构

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摘要

This research aims to improve performance in embedded application domains. The authors have not proposed an entirely new set of instructions, but rather have customized instructions by building a dataflow graph (DFG) and profiling the application that is to be executed. In addition, they obtain various statistics from the applications, such as iteration frequency, basic blocks required, and dynamic execution blocks. Thus, by obtaining software latency from the code, they try to identify the hardware latency by the number of cycles. The number of basic inputs/outputs is identified from read/write operations from each block. If the number of inputs/outputs exceeds the available read/write ports of the register file that is available, then the pipelining method is used to improve the performance. With this method of performing multi-cycle read/write operations in order to stay within the register file limit, some performance loss happens. However, the method also helps to increase the bandwidth of the register file.
机译:这项研究旨在提高嵌入式应用程序域中的性能。作者们并未提出一套全新的指令,而是通过构建数据流图(DFG)并对要执行的应用程序进行了性能分析来定制指令。此外,它们从应用程序获得各种统计信息,例如迭代频率,所需的基本块和动态执行块。因此,通过从代码中获取软件等待时间,他们尝试通过循环数来识别硬件等待时间。基本输入/输出的数量由每个块的读/写操作确定。如果输入/输出的数量超出了可用的寄存器文件的可用读/写端口,则使用流水线方法来提高性能。使用这种执行多周期读/写操作以保持在寄存器文件限制内的方法,会发生一些性能损失。但是,该方法还有助于增加寄存器文件的带宽。

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