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Lessons Learned from a Decade of Providing Interactive, On-Demand High Performance Computing to Scientists and Engineers

机译:从向科学家和工程师提供交互式按需高性能计算的十年中吸取的教训

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For decades, the use of HPC systems was limited to those in the physical sciences who had mastered their domain in conjunction with a deep understanding of HPC architectures and algorithms. During these same decades, consumer computing device advances produced tablets and smartphones that allow millions of children to interactively develop and share code projects across the globe. As the HPC community faces the challenges associated with guiding researchers from disciplines using high productivity interactive tools to effective use of HPC systems, it seems appropriate to revisit the assumptions surrounding the necessary skills required for access to large computational systems. For over a decade, MIT Lincoln Laboratory has been supporting interactive, on-demand high performance computing by seamlessly integrating familiar high productivity tools to provide users with an increased number of design turns, rapid prototyping capability, and faster time to insight. In this paper, we discuss the lessons learned while supporting interactive, on-demand high performance computing from the perspectives of the users and the team supporting the users and the system. Building on these lessons, we present an overview of current needs and the technical solutions we are building to lower the barrier to entry for new users from the humanities, social, and biological sciences.
机译:几十年来,HPC系统的使用仅限于那些在深入了解HPC体系结构和算法的同时掌握其领域的物理科学领域。在这几十年中,消费类计算机设备推动了平板电脑和智能手机的发展,这些平板电脑和智能手机使成千上万的儿童可以交互地开发和共享全球代码项目。由于HPC社区面临着与指导研究人员从使用高生产率交互工具的学科到有效使用HPC系统相关的挑战,因此重新审视围绕访问大型计算系统所需的必要技能的假设似乎是适当的。十多年来,麻省理工学院林肯实验室一直通过无缝集成熟悉的高生产率工具来支持交互式按需高性能计算,从而为用户提供更多的设计转向,快速的原型设计能力和更快的洞察力。在本文中,我们从用户以及支持用户和系统的团队的角度讨论了在支持交互式按需高性能计算时的经验教训。在这些课程的基础上,我们将概述当前的需求以及我们正在构建的技术解决方案,以降低人文,社会和生物科学领域新用户的进入门槛。

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