CAREER: Programming Heterogeneous Memory Hierarchies

职业：异构内存层次结构编程

• 批准号: 2239373
• 负责人: Joseph Izraelevitz
• 金额: $ 52.45万
• 依托单位: University of Colorado at Boulder
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-05-01 至 2028-04-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2239373&HistoricalAwards=false
• 关键词: CAREER; Programming; Heterogeneous; Memory; Hierarchies

This project tackles an emerging and inevitable problem within computing: how to explicitly manage computers that use different types of memory technologies. The project's novelties are new programming language mechanisms for managing these machines, with associated improvements in performance. The project's impacts are the simpler and more efficient management of these machines from the programmer's perspective. The inevitability of these mixed memory machines, along with their deployment as a common computing platform in the data center, means that their efficient use is matter of national import, with varied applications in academia, industry, and defense (e.g. genetic sequencing, weather prediction, economic model simulation, and counterterrorism monitoring). By innovating programmatic and educational tools for these machines, this project serves to enhance the architecture's utility and performance across numerous economic and national security applications.The project's aims tackle the problem of programming heterogeneous memory machines from specific angles, namely, the language level interface and associated compiler and runtime techniques. The project will proceed by (1) developing a flexible type system that can express data stored across the heterogeneous memory machine, (2) develop compiler optimizations customized to the problems of heterogeneous memories and their associated semantics, and (3) integrate runtime techniques for mitigating performance problems of heterogeneous memory machines.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该项目解决了计算中新兴和不可避免的问题：如何明确管理使用不同类型的内存技术的计算机。该项目的新颖性是用于管理这些机器的新的编程语言机制，并具有相关的性能改进。 从程序员的角度来看，项目的影响是对这些机器的更简单，更有效的管理。 这些混合记忆机的必然性，以及它们作为数据中心中常见的计算平台的部署，意味着它们的有效使用是国家进口的问题，在学术界，工业和国防部中的应用都多样化（例如，遗传测序，天气预测，经济模型模拟和反恐监测）。通过为这些机器的程序化和教育工具创新，该项目可以在众多经济和国家安全应用中增强建筑的实用性和性能。该项目的目的可以解决从特定角度（即语言级别的界面以及相关的编译器和运行时技术）来解决编程异构存储器的问题。该项目将通过（1）开发一个柔性类型系统，该系统可以表达在整个异质存储器上存储的数据，（2）开发编译器的优化，定制为异构记忆的问题及其相关的语义问题，以及（3）整合运行时间技术，以通过nsf的代表性进行了反映，并将其整合起来，以促进nsf的代表，并在nsf afterntion resportion repultion nsf and。智力优点和更广泛的影响审查标准。