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

大规模数据分析对国家战略计算倡议(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。目前的基准和性能指标没有提供有关计算系统是否适合数据密集型应用的有用信息。这项研究工作将产生一个新的Stream500基准，作为Graph500的补充，复制流分析工作负载。目前的基准能力将扩大，使现有的基于网络的基础设施能够接受提交的多个基准。

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.