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Energy-aware loops mapping on multi-vdd CGRAs without performance degradation

机译:在没有性能下降的情况下,能量感知循环映射到多VDD CGRAS

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Coarse Grained Reconfigurable Architectures (C-GRAs) have been paid an increasing attention due to their inherent advantages of high performance and energy efficiency. As we know, multi-Vdd technique is popularly used to reduce energy consumption, and modulo scheduling is one of widely-used pipeline techniques to improve performance. To achieve both high performance and energy-efficiency simultaneously, this paper proposes an energy-aware mapping algorithm integrating multi-Vdd assignment into the scheduling and mapping procedures of loop applications. Also, an energy-aware FDS (eFDS) algorithm and a rapid MCC searching method based on compatibility concept are successfully adopted to solve the bi-objective optimization problem. The experimental results show that the proposed approach brings 18.7% energy reduction and 1.44X energy-efficiency improvement while keeping optimized performance.
机译:由于高性能和能源效率的固有优势,粗粒粒度可重新配置架构(C-GRAS)已经提出了越来越长的关注。如我们所知,多VDD技术普遍用于降低能耗,模型调度是提高性能的广泛使用的流水线技术之一。为了同时实现高性能和能效,本文提出了一种能量感知映射算法,将多VDD分配集成到循环应用程序的调度和映射过程中。此外,成功采用了一种能量感知FDS(EFDS)算法和基于兼容性概念的快速MCC搜索方法来解决双目标优化问题。实验结果表明,该方法的能量减少18.7%和1.44倍的能效改善,同时保持优化的性能。

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