EAGER: Stream500: A New Benchmark and Infrastructure for Streaming Analytics

EAGER：Stream500：流分析的新基准和基础设施

• 批准号: 1641774
• 负责人: Tim Andersen
• 金额: $ 11.95万
• 依托单位: Boise State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-08-01 至 2019-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1641774&HistoricalAwards=false
• 关键词: EAGER; Stream500; New; Benchmark; Infrastructure

Large-scale data analytics is essential to the National Strategic Computing Initiative (NSCI) and NSF's scientific discovery mission. Data-intensive supercomputing applications are increasingly important for high performance computing workloads. Current benchmarks and performance metrics do not provide useful information on suitability of computing systems for data-intensive applications. This research effort will produce a new Stream500 benchmark, complementary to Graph500, that replicates streaming analytics workload. The current benchmark capabilities will be expanded by enabling the exiting web-based infrastructure to accept submissions for multiple benchmarks.

大规模数据分析对于国家战略计算计划（NSCI）和NSF的科学发现任务至关重要。数据密集型超级计算应用程序对于高性能计算工作负载越来越重要。当前的基准和性能指标没有提供有关计算系统适用于数据密集型应用程序的有用信息。这项研究工作将产生一个与Graph500互补的新型Stream500基准，该基准复制流分析工作负载。当前的基准功能将通过使退出的基于Web的基础架构接受多个基准的提交来扩展。