流超级计算需要支持工作流的大规模编程
Streaming supercomputing needs workflow-enabled programming-in-the-large
摘要：
这是一份提交给未来在线分析平台研讨会（https：//press3.mcs.anl.gov/futureplatform/）的立场文件，该文件认为，简单的数据分析应用程序在今天很常见，但未来的在线超级计算工作负载将需要结合多种先进技术（流、缓存、分析和模拟），以快速提供科学结果。当与高性能计算集成时，这些技术中的每一种都是活跃的研究领域。这些组件将以复杂的方式相互作用，因此需要对它们进行编程。在现有应用程序之上进行大规模编程，使我们能够构建功能更强大的应用程序，并有效地管理这种复杂性。
英文摘要：
This is a position paper, submitted to the Future Online Analysis Platform Workshop (https://press3.mcs.anl.gov/futureplatform/), which argues that simple data analysis applications are common today, but future online supercomputing workloads will need to couple multiple advanced technologies (streams, caches, analysis, and simulations) to rapidly deliver scientific results. Each of these technologies are active research areas when integrated with high-performance computing. These components will interact in complex ways, therefore coupling them needs to be programmed. Programming in the large, on top of existing applications, enables us to build much more capable applications and to productively manage this complexity.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
