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Exploration of the power-performance tradeoff through parameterization of FPGA-based multiprocessor systems

机译:通过基于FpGa的多处理器系统参数化探讨功率性能权衡

摘要

The design space of FPGA-based processor systems is huge, because many parameters can be modified at design- and runtime to achieve an efficient system solution in terms of performance, power and energy consumption. Such parameters are, for example, the number of processors and their configurations, the clock frequencies at design time, the use of dynamic frequency scaling at runtime, the application task distribution, and the FPGA type and size. The major contribution of this paper is the exploration of all these parameters and their impact on performance, power dissipation, and energy consumption for four different application scenarios. The goal is to introduce a first approach for a developer's guideline, supporting the choice of an optimized and specific system parameterization for a target application on FPGA-based multiprocessor systems-on-chip. The FPGAs used for these explorations were Xilinx Virtex-4 and Xilinx Virtex-5. The performance results were measured on the FPGA while the power consumption was estimated using the Xilinx X Power Analyzer tool. Finally, a novel runtime adaptive multiprocessor architecture for dynamic clock frequency scaling is introduced and used for the performance, power and energy consumption evaluations.
机译:基于FPGA的处理器系统的设计空间很大,因为可以在设计和运行时修改许多参数,从而在性能,功耗和能耗方面实现高效的系统解决方案。例如,此类参数包括处理器数量及其配置,设计时的时钟频率,运行时使用动态频率缩放,应用程序任务分配以及FPGA类型和大小。本文的主要贡献是探索了所有这些参数及其对四种不同应用场景的性能,功耗和能耗的影响。目的是为开发人员指南引入第一种方法,以支持针对基于FPGA的多处理器片上系统上的目标应用选择优化的特定系统参数。用于这些探索的FPGA是Xilinx Virtex-4和Xilinx Virtex-5。性能结果是在FPGA上测量的,同时使用Xilinx X Power Analyzer工具估算了功耗。最后,介绍了一种用于动态时钟频率缩放的新颖的运行时自适应多处理器体系结构,并将其用于性能,功耗和能耗评估。

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