NSF Young Investigator Award

马宏升9457530这项nyi提案是高性能计算机软件危机的核心：为高性能并行计算机系统开发的软件的性能评估和优化。这项研究的中心主题是，最大限度地提高HPC软件开发人员的生产率的挑战可以通过将用于编程和性能分析的复杂工具积极集成到HPC编程环境中来最好地解决。这笔赠款将积极致力于四个研究重点领域：并行性能可视化；性能预测和外推；基于知识的性能诊断和调优自动化；以及基于语言的并行程序分析环境。每个领域的计划是建立基本原则和技术，构建用于评估的原型工具，将这些工具集成到程序开发系统中，并在实际的高性能计算应用环境中测试研究的好处。

Malony 9457530 This NYI proposal lies at the heart of the HPC software crisis: the performance evaluation and optimization of software developed for high-performance, parallel computer systems. The central theme of the research is that the challenge of maximizing the productivity of HPC software developers can be best addressed by an aggressive integration of sophisticated tools for program and performance analysis into an HPC programming environment. There are four research focus areas that will be actively pursued with this grant: parallel performance visualization; performance prediction and extrapolation; knowledge-based automation of performance diagnosis and tuning; and language-based parallel program analysis environments. The plan for each area is to establish the fundamental principles and techniques, build prototypes tools for evaluation, integrate the tools into program development systems, and test the benefits of the research in real HPC application environments.