Collaborative Research: CSR-PSCE, TM: Effective Resource Sharing and Coordination inside Multicore Processors for High Throughput Computing

多核处理器资源管理的主要挑战之一是现有的操作系统(无论是传统的单核操作系统还是SMP操作系统)都不能有效地处理多核处理器中新的复杂性。(1)基于OS的缓存分区混合系统设计与实现将以最小的硬件复杂度提供高效的共享缓存软件管理，并将很好地定义共享缓存管理的硬件/软件接口。(2)协作者将设计并实现调度算法inos内核，以有效地分配CPU、缓存和内存带宽资源，以便在多核处理器上进行多编程作业。(3)数据对象局部性感知缓存分区的设计和实现将区分对象的局部性优势并做出有效的缓存分配决策。该项目的智力挑战包括三个方面：(1)混合系统设计涉及硬件和底层操作系统之间复杂的交互，需要对现有系统结构和创新有深刻的理解，以增强体系结构和操作系统内核。(2)基于操作系统的多核处理器调度是系统研究中的一个基本而复杂的问题。(3)调度算法和对象协调算法的系统实现为它们在内核中的无缝集成提出了许多创造性的想法。这一项目的广泛影响预计将是巨大的。在许多应用领域，及时需要解决关键问题的解决方案来显著提高多核处理器的性能。对本科生和研究生的研究培训将解决IT和计算机行业缺乏强大的系统专业人员的担忧。

One of the main challenges in multi-core processor resource management is thatexisting operating systems (either conventional OS for single core or OS for SMP) arenot able to effectively handle the new complexities in multi-core processors.In order to address this challenge, the collaborators will conduct three closely relatedprojects. (1) A hybrid system design and implementation for OS-based cachepartitioning will provide efficient software management of shared caches with minimumhardware complexity, and will well define hardware/software interface of shared cachemanagement. (2) The collaborators will design and implement scheduling algorithms inOS kernels to effectively allocate CPU, caches and memory bandwidth resources tomultiprogramming jobs in multi-core processors. (3) A data object locality-aware cachepartitioning design and implementation will distinguish the locality strengths of objectsand make effective cache allocation decisions.The intellectual challenges of this project are threefold: (1) Hybrid system designinvolves complex interactions between hardware and the underlined operating system,and demands insightful understanding of existing system structures and innovation toenhance both architecture and the OS kernels. (2) OS-based scheduling in multi-coreprocessors is a fundamental and complex problem in system research. (3) Systemimplementation of proposed algorithms for scheduling and object coordination demandsa lot of creative ideas for their seamless integration in the kernels. The broader impactof this project is expected to be significant. Solutions to address critical issues forsignificant performance improvement in multi-core processors are timely demanded inmany application areas. The research training to both undergraduate and graduatestudents will address the concerns of lacking strong system professionals in IT andcomputer industries.