CAREER: Application-Driven Approach for Building Run-Time Systems for Future Teraflop and Petaflop Architectures

CCR-9876179“CAREER：应用程序驱动的原型化运行时方法 未来Teraflops和Petaflops架构的系统“Nikos P. Chrisochoides最近对下一代Teraflops和Petaflops并行架构的可行性研究表明，这些机器将是多层系统，由许多层类似的组件组成，包括存储器，处理器和 具有不同性能水平的互连。 这样的设计将扩大内存和CPU访问之间的延迟差距，以至于任何形式的CPU启动的内存数据移动都不能令人满意。 为了解决这个问题，研究需要转向硬件，比如“智能”存储器，这些存储器在存储器传输、算法 和软件 本研究的重点是延迟容忍出租的发展和评估 和运行时 软件支持系统， 自适应计算的多层并行平台是“同构“未来的Teraflops和Petaflops系统。 该项目将对Petaflops混合技术多线程（HTMT）设计产生直接影响，为硬件设计人员提供基于断裂力学端到端非结构化和自适应应用程序的行为和结构分析的反馈。 此外，该项目将提供一个测试平台， 下一代计算科学家有效地使用这种多层并行平台，并帮助计算机工程师了解大规模应用的硬件要求。

CCR-9876179"CAREER: Application-driven Approach for Prototyping Run-Time Systems for Future Teraflops and Petaflops Architectures"Nikos P. ChrisochoidesRecent feasibility studies for the next generation of Teraflops andPetaflops parallel architectures indicate that these machines will bemulti-layer systems that consist of many layers of similar componentsfor memory, processors, and interconnects with different levels ofperformance. Such designs will widen the latency gap between memoryand CPU access to a point where no form of CPU-initiated data movementfrom memory will be satisfactory. To solve this, research needs to bedirected towards hardware like "smart" memories that are pro-activewith regard to memory-transfers, algorithms, and software. Thisresearch focuses on the development and evaluation of latency tolerantalgorithms and run-time software support systems for adaptivecomputations on a multi-layer parallel platform that is "isomorphic"to future Teraflops and Petaflops systems. This project will have animmediate impact on Petaflops Hybrid Technology Multi-Threaded (HTMT)design by providing hardware designers with feedback based on thebehavioral and structural analysis of an end-to-end unstructured andadaptive application from fracture mechanics. Also, this project willprovide a testbed for training the next generation of computationalscientist to effectively use such multi-layer parallel platforms andhelp computer engineers to understand the hardware requirements oflarge-scale applications.