CAREER: Aon - An Integrative Approach to Petascale Fault Tolerance

职业生涯：Aon - 实现千万亿次容错的综合方法

• 批准号: 0952960
• 负责人: Thomas Hacker
• 金额: $ 40.88万
• 依托单位: Purdue University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-03-01 至 2017-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0952960&HistoricalAwards=false
• 关键词: CAREER; Aon; Integrative; Approach; Petascale

Advances in computing power over the past two decades have driven successive generations of powerful supercomputers. Petascale systems have recently emerged that contain tens of thousands of processors. At this scale, frequent component and software faults cause parallel applications to fail often, forcing users to save critical program data (checkpoint) repeatedly at an unsustainable scale and pace, wasting resources and triggering additional faults. This has created a crisis: recent experience with petascale systems reveal that increased checkpoint frequency is inducing additional faults, and the excessive overhead required for checkpointing onpeta- and exascale systems is reaching theoretical scaling limits. These problems represent a petascale reliability barrier that prevents the effective use of these systems.To address this problem, the investigator is pursuing a research and education program to improve the reliability and efficiency of high performance computing systems through a comprehensive approach to fault detection, prediction, response, and recovery. The effort involves work on four fronts: i) investigation of new methods for fault detection and prediction; ii) creation of new algorithms, techniques, and tools to avoid faults by proactively responding to potential faults, and to efficiently recover from faults when they occur; iii) creation of a fault injection framework and architecture testbed to assess and validate fault prediction, detection, and proactive and reactive response mechanisms; and iv) development of a education and training program to disseminate fault-aware practices for systems administrators and application developers. The expected results are: more reliable HPC systems and parallel applications; new fault prediction, detection, and response algorithms, software libraries, and tools; and the establishment of a cohort of students and researchers trained to use fault prediction and response technologies.

在过去的二十年里，计算能力的进步推动了一代又一代强大的超级计算机的诞生。最近出现了千兆级系统，其中包含数万个处理器。在这种规模下，频繁的组件和软件故障导致并行应用程序经常失败，迫使用户以不可持续的规模和速度重复保存关键程序数据（检查点），浪费资源并引发额外的故障。这就产生了一个危机：最近对petascale系统的经验表明，检查点频率的增加会导致额外的故障，并且在peascale和exascale系统上检查点所需的过多开销正在达到理论上的扩展极限。这些问题构成了千万亿级的可靠性障碍，阻碍了这些系统的有效利用。为了解决这个问题，研究者正在进行一项研究和教育计划，通过故障检测、预测、响应和恢复的综合方法来提高高性能计算系统的可靠性和效率。这项工作涉及四个方面的工作：1)研究故障检测和预测的新方法；Ii)创建新的算法、技术和工具，通过主动响应潜在故障来避免故障，并在故障发生时有效地从故障中恢复；Iii)创建故障注入框架和架构测试平台，以评估和验证故障预测、检测以及主动和被动响应机制；iv)开发教育和培训计划，向系统管理员和应用程序开发人员传播故障感知实践。预期结果是：更可靠的高性能计算系统和并行应用；新的故障预测、检测和响应算法、软件库和工具；并建立一批训练有素的学生和研究人员来使用故障预测和响应技术。