SHF: Large: Collaborative Research: Reliable Performance for Modern Systems

SHF：大型：协作研究：现代系统的可靠性能

• 批准号: 1332654
• 负责人: Daniel Jimenez
• 金额: $ 14.01万
• 依托单位: Texas A&M Engineering Experiment Station
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-01-01 至 2014-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1332654&HistoricalAwards=false
• 关键词: SHF; Large; Collaborative; Research; Reliable

Today's computer systems are more powerful than ever, but have become so complex that it is now difficult for programmers to produce high-performance software. Even slight changes in programs or differences in a user's system can cause dramatic slowdowns. Currently, there is no way to guarantee that a program will perform as well as it did during testing. This situation makes it extremely difficult to track down the sources of inefficiencies or repair them. The result is reduced power and computational efficiency on servers, and a degraded user experience on client platforms.This research aims to deliver reliable performance on modern computer systems. By introducing randomness into the way a computer runs programs, a reliably performant system will significantly reduce the probability that any small change will have a large impact on performance. For instance, consider a cache miss caused by a conflict. With standard caches, repeated access to the same elements would always cause misses, degrading performance. In a randomized cache or with randomized object placement, it would be very unlikely for the same line to be repeatedly evicted. The investigators are designing and evaluating the use of both randomized algorithms in software and hardware, separately and in combination, to remedy the numerous sources of pathological behavior in modern systems. The result will enable performance-portable applications that are immune to unfortunate interactions with microprocessor components.

当今的计算机系统比以往任何时候都更加强大，但是已经变得如此复杂，以至于程序员现在很难生产高性能软件。即使在用户系统中的程序或差异的略有变化也会导致急剧放缓。当前，无法保证程序在测试过程中的执行和执行情况。这种情况使追踪效率低下或维修的来源非常困难。结果是降低了服务器上的功率和计算效率，以及在客户端平台上降低的用户体验。这项研究旨在在现代计算机系统上提供可靠的性能。通过将随机性引入计算机运行程序的方式，可靠的性能系统将显着降低任何小变化对性能产生巨大影响的可能性。例如，考虑冲突引起的缓存失误。使用标准缓存，重复访问相同的元素总是会导致失误，从而使性能降低。 在随机缓存或随机对象放置中，反复驱逐同一行不太可能。研究人员正在设计和评估在软件和硬件中同时和组合使用随机算法的使用，以补救现代系统中众多病理行为的来源。结果将实现不幸与微处理器组件的不幸相互作用的可履行应用程序。