Adventures Beyond Amdahl's Law:How Power-Performance Measurement and Modeling at Scale Drive Server and Supercomputer Design  

作　　者：Kirk W.Cameron 

机构地区：[1]Computer Science,Virginia Tech,Washington D.C.,VA 24061,U.S.A.

出　　处：《Journal of Computer Science & Technology》2023年第1期80-86,共7页计算机科学技术学报（英文版）

摘　　要：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.

关 键 词：Amdahl’s Law SPEEDUP power-aware computing power modeling performance modeling performance prediction power measurement 

分 类 号：TP368.5[自动化与计算机技术—计算机系统结构]