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Exploring the speedups of embedded microprocessor systems utilizing a high-performance coprocessor data-path

机译:利用高性能协处理器数据路径探索嵌入式微处理器系统的加速

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The speedups achieved in a generic microprocessor system by employing a high-performance data-path are presented. The data-path acts as a coprocessor that accelerates time critical code segments, called kernels, thereby increasing the overall performance. The data-path has been previously introduced by the authors and it is composed by Flexible Computational Components (FCCs) that can realize any two-level template of primitive operations. A design flow, integrating the automated coprocessor synthesis method, for executing applications on the system is presented. For evaluating the effectiveness of our coprocessor approach, analytical exploration in respect to the type of the custom data-path and to the microprocessor architecture is performed. The kernel and the overall application speedups of six real-life applications, relative to the software execution on the microprocessor, are estimated using the design flow. Kernel speedups up to 155 are achieved that result in an average overall improvement of 2.78 with a small overhead in circuit area. The design flow achieved the acceleration of the applications near to theoretical bounds. A comparison with another high-performance data-path showed that the proposed coprocessor achieves better performance while having smaller area-time products for the generated data-paths.
机译:提出了通过采用高性能数据路径在通用微处理器系统中实现的加速。数据路径充当协处理器,可加速时间紧迫的代码段(称为内核),从而提高整体性能。数据路径由作者先前介绍,由可实现原始操作的任何两层模板的灵活计算组件(FCC)组成。提出了一种集成自动协处理器综合方法的设计流程,用于在系统上执行应用程序。为了评估我们的协处理器方法的有效性,针对定制数据路径的类型和微处理器体系结构进行了分析探索。使用设计流程估算了相对于微处理器上的软件执行,六个真实应用程序的内核和整体应用程序加速。内核加速达到155,导致平均总体改进2.78,电路面积的开销很小。设计流程实现了接近理论界限的应用加速。与另一个高性能数据路径的比较表明,所提出的协处理器具有更好的性能,同时所生成的数据路径的面积时间乘积较小。

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