CAREER: Autotuning Foundations for Exascale Computing

这项研究的目标是发现新的基本原则，以开发高效和可靠的软件，能够在预期的2020年前在亿级计算平台上实现可持续的性能。这样的平台将提供超过今天三个数量级的S系统；利用这种原始的计算能力可以彻底改变我们对气候建模、能源、医学、可持续发展、宇宙学、工程设计和海量数据分析等领域关键现象的建模和理解。然而，为亿级系统开发软件是一个巨大的挑战，因为硬件很复杂，而且人们不相信最有生产力的？高级？软件开发环境(如编程语言和库)将能够有效地利用这些亿级系统。研究人员旨在通过使用自动调优(自动调优)来解决这一挑战，以消除传统上与高级编程模型相关的低性能。这项研究(A)开发了新的模型驱动的并行算法和数据结构调优框架，超越了现有的专注于低级代码调优的技术；以及(B)研究了高级编程模型中表达的程序的自动调优，目的是消除性能差距。伴随着这项研究，PI将创建一门新的实践课程：高性能混凝土车库。HPC Garage在物理上将跨学科团队放在一个社会协作实验室空间中；这些团队参与一项为期一年的竞赛，名为XD奖，为NSF Tera Grid的下一代XD设施开发高度可扩展的算法和软件。高性能计算车库还举办佐治亚理工学院S计算研究本科生暑期实习生暑期体验(CRUSE)项目，该项目的使命是鼓励学生，特别是那些来自代表人数不足的群体的学生，攻读计算机专业的研究生学位。

The goal of this research is to discover novel foundational principlesfor developing highly-efficient and reliable software that can achievesustainable performance on the exascale computing platforms expected by2020. Such platforms will deliver three orders of magnitude beyondtoday?s systems; harnessing this raw computational power couldrevolutionize our modeling and understanding of critical phenomena inareas like climate modeling, energy, medicine, sustainability,cosmology, engineering design, and massive-scale data analytics. Yet,developing software for exascale systems is a tremendous challengebecause the hardware is complex and it is not believed that the mostproductive ?high-level? software development environments (e.g.,programming languages and libraries) will be able to effectively exploitthese exascale systems.The investigator aims to address this challenge by using automatedtuning (autotuning) to eliminate the low performance traditionallyassociated with high-level programming models. This research (a)develops new model-driven frameworks for tuning parallel algorithms anddata structures, going beyond existing techniques that focus onlow-level code tuning; and (b) studies autotuning for programs expressedin high-level programming models, with the aim of eliminating theperformance gap. Concomitant with this research, the PI will create anew practicum course: The HPC Garage. The HPC Garage physicallyco-locates interdisciplinary teams in a social collaborative lab space;the teams engage in a year-long competition, called the XD Prize, todevelop highly scalable algorithms and software for NSF TeraGrid?snext-generation XD facilities. The HPC Garage also hosts summer internsin Georgia Tech?s Computing Research Undergraduate Intern SummerExperience (CRUISE) program, whose mission is to encourage students,especially those from underrepresented groups, to pursue graduatedegrees in computing.