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使用各种非易失性记忆的系统阵列的间歇意识设计探索:一项比较研究.
Nedasadat Taheri1, Sepehr Tabrizchi1, Arman Roohi1
1School of Computing, University of Nebraska-Lincoln, Lincoln, NE 68588, USA.
Micromachines
|March 28, 2024
概括
这项研究探讨了物联网系统中的间歇计算,发现IDEA空间架构与行静止数据流可以提高2.7%的功率效率,并在CIFAR10.10上的AlexNet上减少21%的循环.
科学领域:
- 计算机架构 计算机架构
- 嵌入式系统 嵌入式系统
- 不易挥发的记忆技术
背景情况:
- 间歇性计算对于具有功率限制的物联网 (IoT) 设备至关重要.
- 了解数据流 (行,重量,输出) 和内存交互是优化关键.
- 现有的架构可能无法充分利用间歇性计算在物联网中的潜力.
研究的目的:
- 在物联网环境中全面研究间歇性计算.
- 分析数据流与非易失性内存技术之间的相互作用.
- 评估建筑优化,以提高性能和能源效率.
主要方法:
- 研究了不同的非易失性存储器技术的各种数据流类型 (行,重量,输出).
- 采用了IDEA空间架构,并以节奏排列的处理元素.
- 在CIFAR10数据集上使用AlexNet模型评估性能.
主要成果:
- 具有行静止数据流的IDEA架构实现了2.7%的功率效率提升.
- 观察到所需循环的平均减少21%.
- 展示了不同架构和数据流组合的比较优势.
结论:
- 架构选择在间歇性物联网系统中显著影响能源效率和性能.
- IDEA架构显示出优化间歇性计算应用程序的前景.
- 进一步的研究可以探索定制物联网解决方案的多种组合.
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