SHF: Large: Collaborative Research: Designing the Programmable Many-Core for Extreme Scale Computing

本研究旨在设计一个可编程的众核，用于2020年移动的平台（上网本和智能手机）的极端规模计算。这项工作跨越了架构、编译器、操作系统和正确性/性能工具领域。探索的一个关键技术是核心和所有软件连续运行在块中（即，原子块）的指令-消除了对按顺序的、每次单指令提交的需要。PI将开发一种新的基于块的架构，支持所需的高级别性能，功率/能源效率，并发性和局部性。他们将开发先进的编译器支持块生成，以低功耗提供高性能，并利用架构的所有可编程功能。他们还将设计一个支持和利用块的操作系统。最后，他们将设计一套新颖的正确性和性能工具，利用块，签名，散列，和所有其他功能的架构。这项工作的更广泛的影响包括在伊利诺伊大学和普渡大学创建一个多学科的研究和教育中心可编程的极端规模计算。不同的专业知识的教师将致力于解决可编程的问题，非常高的性能，非常功率/能源效率的多核心的移动的平台的2020年及以后。PI将扩大伊利诺伊大学和普渡大学在这四个领域的课程设置，提供不同深度水平的多学科课程。研究生和本科研究人员在欧洲经委会和CS将参与研究。总的来说，PI希望证明基于连续原子块操作的可编程、高性能和高功耗/能效的多核是有吸引力的。

This work proposes to design a programmable many-core for Extreme-Scale Computing in mobile platforms (netbooks and smart-phones) of year 2020. This work cuts across the architecture, compiler, operating system, and correctness/performance tools areas. A key technology explored is that of cores and all of the software continuously operating in Chunks (i.e., atomic blocks) of instructions at a time --- eliminating the need for in-order, single-instruction-at-a-time commit. The PIs will develop a novel chunk-based architecture that supports the high levels of performance, power/energy efficiency, concurrency, and locality required. They will develop advanced compiler support for chunk generation that delivers high performance at low power, and leverages all the programmability features of the architecture. They will also design an OS that supports and takes advantage of chunks. Finally, they will design a set of novel correctness and performance tools that exploit chunks, signatures, hashes, and all the other features of this architecture.The broader impacts of this work involve the creation of a multidisciplinary research and education center at University of Illinois and Purdue on Programmable Extreme Scale Computing. Faculty of diverse expertise will be devoted to solving the problem of programmable, very-high performance, very power/energy-efficient many-cores for mobile platforms of year 2020 and beyond. The PIs will broaden the course offerings at University of Illinois and Purdue in the four areas, with multidisciplinary courses at different depth levels. Graduate and undergraduate researchers in ECE and CS will be involved in the research. Overall, the PIs hope to prove that programmable, high-performance, and highly power/energy-efficient many-cores based on continuous atomic-block operation are attractive.