Adventures Beyond Amdahl’s Law: How Power-Performance Measurement and Modeling at Scale Drive Server and Supercomputer Design
Adventures Beyond Amdahl’s Law: How Power-Performance Measurement and Modeling at Scale Drive Server and Supercomputer Design
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超越阿姆达尔定律的冒险：大规模功耗性能测量和建模如何驱动服务器和超级计算机设计
DOI：
10.1007/s11390-022-2950-7
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发表时间：
2023
影响因子：
1.9
通讯作者：
Cameron, Kirk W.
中科院分区：
文献类型：
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作者：
Cameron, Kirk W.
Amdahl定律为大规模计算描绘了一幅黯淡的画面。这意味着并行性有限，因此潜在的加速也是有限的。虽然Amdahl的贡献是开创性的和重要的，但它驱使其他并行处理领域的人更清楚地定义为什么大规模系统对我们的未来至关重要，以及它们如何从根本上提供超越Amdahl预测的加速机会。在21世纪初，就像Amdahl一样，我们预测了由于功率限制而导致的大规模系统的可怕后果。虽然我们的早期工作经常被驳回，但其中的含义对一些人来说是明确的：权力最终会限制性能。在这次回顾中，我们讨论了大规模的功率性能测量和建模如何推动服务器和超级计算机设计十多年来的贡献。虽然这些技术的影响现在是无可争议的，但我们讨论了它们的联系，限制和必要的其他研究方向，以继续我们行业习惯的性能增益。
Amdahl’s Law painted a bleak picture for large-scale computing. The implication was that parallelism was limited and therefore so was potential speedup. While Amdahl’s contribution was seminal and important, it drove others vested in parallel processing to define more clearly why large-scale systems are critical to our future and how they fundamentally provide opportunities for speedup beyond Amdahl’s predictions. In the early 2000s, much like Amdahl, we predicted dire consequences for large-scale systems due to power limits. While our early work was often dismissed, the implications were clear to some: power would ultimately limit performance. In this retrospective, we discuss how power-performance measurement and modeling at scale led to contributions that have driven server and supercomputer design for more than a decade. While the influence of these techniques is now indisputable, we discuss their connections, limits and additional research directions necessary to continue the performance gains our industry is accustomed to.
仅摘要：服务器效率评级工具（SERT）的设计与开发
DOI：
--
发表时间：
2011
期刊：
International Conference on Performance Engineering
影响因子：
--
作者：
K. Lange;Michael G. Tricker
通讯作者：
Michael G. Tricker
Cray X-MP/Model 24：流水线架构和矢量处理的案例研究
DOI：
--
发表时间：
2001
期刊：
影响因子：
--
作者：
N. O. Riordan
通讯作者：
N. O. Riordan