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Collaborative Research: EAGER: Real-time Strategies and Synchronized Time Distribution Mechanisms for Enhanced Exascale Performance-Portability and Predictability

合作研究：EAGER：实时策略和同步时间分配机制，以增强百亿亿次性能-可移植性和可预测性

基本信息

批准号：
2151020
负责人：
Anthony Skjellum
金额：
$ 7.45万
依托单位：
University of Tennessee Chattanooga
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2022
资助国家：
美国
起止时间：
2022-06-01 至 2023-12-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2151020&HistoricalAwards=false
关键词：
Collaborative Research EAGER Real time

项目摘要

Advances throughout science and engineering have for several decades been driven by High Performance Computing (HPC), with the pace of discovery accelerating in concert with continued innovation in computing capabilities. But as semiconductor technology now faces fundamental physical limits, even while large-scale systems are reaching warehouse scales, new approaches are becoming essential to achieving efficient use of computing resources. In particular, given this divergence of scales, HPC systems have necessarily become more distributed and asynchronous (in the sense that system clocks are asynchronous), resulting in increasingly variable and unpredictable execution. While these effects are recognized as critical hindrances to HPC performance, the mechanisms are not yet fully understood. What is known, however, is that much HPC infrastructure is tasked with dealing with inefficiency derived from asynchrony, variability, and unpredictability, leading to a deep and complex hardware/software support stack. The project team's hypothesis is that while each stack element provides a local solution, it may also exacerbate the global problem: that complexity has resulted in more variability, not less, and made determining its causes more difficult. This project explores the possibility of reversing the trend of ever-increasing complexity by removing and simplifying support layers. This strategy’s achievable gains remain limited, however, while the underlying cause, execution asynchrony, remains unaddressed. The approach begins by leveraging recently developed technology that enables clocks to remain extremely accurate even when distributed on a planetary scale. Such accurate, distributed clocks serve to underpin a virtuous cycle where synchrony establishes baseline predictability, which, in turn, reduces variability, and at each stage of the cycle enables reduction in the complexity of the support stack. A benefit of this approach is that the individual steps are largely simple and can be applied directly to existing software systems. This one-year project aims to obtain early findings and practical demonstrations for the importance of synchrony and predictability to increase HPC compute efficiency and thereby improve large-scale program execution. Five tasks are conducted. The first is to demonstrate the feasibility of accurate clock distribution by augmenting existing HPC network infrastructure. The second is to demonstrate the application of synchrony in the establishing a virtuous cycle enabling simplifications to the software/system support stack. The third is to devise mechanisms to model, measure, and validate systems using the proposed methods. The fourth is to investigate the relative benefits of applying the synchrony-based virtuous cycle with respect to various application classes. The fifth is to demonstrate the overall efficacy of the proposed approach through a case study involving a production application. Overall, the project works to determine whether added synchronization through accurate clocks enables significant improvements to HPC computations in terms of how efficiently they use computational resources.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

几十年来，高性能计算（HPC）一直推动着科学和工程领域的进步，随着计算能力的不断创新，发现的步伐不断加快。但是，由于半导体技术现在面临着基本的物理限制，即使大规模系统正在达到仓库规模，新的方法对于实现计算资源的有效利用也变得至关重要。特别是，考虑到这种规模的差异，HPC系统必然变得更加分布式和异步（在系统时钟异步的意义上），导致越来越多的可变和不可预测的执行。虽然这些影响被认为是HPC性能的关键障碍，但其机制尚未完全了解。然而，众所周知的是，许多HPC基础设施的任务是处理由复杂性、可变性和不可预测性导致的低效率，从而导致深度和复杂的硬件/软件支持堆栈。项目团队的假设是，虽然每个堆栈元素提供了一个局部解决方案，但它也可能加剧全局问题：复杂性导致了更多的可变性，而不是更少，并使确定其原因变得更加困难。该项目探讨了通过删除和简化支持层来扭转日益复杂的趋势的可能性。然而，这一战略可实现的收益仍然有限，而执行不力这一根本原因仍然没有得到解决。该方法首先利用最近开发的技术，使时钟即使分布在行星尺度上也能保持非常准确。这种精确的分布式时钟用于支持良性循环，其中同步建立基线可预测性，这反过来又降低了可变性，并且在循环的每个阶段都能够降低支持堆栈的复杂性。这种方法的一个好处是，各个步骤非常简单，可以直接应用于现有的软件系统。这个为期一年的项目旨在获得同步和可预测性的重要性的早期发现和实际演示，以提高HPC计算效率，从而改善大规模程序执行。开展五项任务。第一个是通过增强现有HPC网络基础设施来证明精确时钟分配的可行性。第二个是展示同步在建立一个良性循环中的应用，从而简化软件/系统支持堆栈。第三是设计机制，使用所提出的方法来建模，测量和验证系统。第四是调查应用基于同步的良性循环相对于各种应用类的相对效益。第五个是通过一个涉及生产应用程序的案例研究来证明所提出的方法的总体有效性。总体而言，该项目旨在确定通过精确时钟增加的同步是否能够在高效利用计算资源方面显著改善HPC计算。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。