XPS: FULL: CCA: Cymric: A Flexible Processor-Near-Memory System Architecture
XPS: FULL: CCA: Cymric: A Flexible Processor-Near-Memory System Architecture
批准号:
1533767
负责人:
Hyesoon Kim
金额:
$75.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-09-01 至 2019-08-31
中文摘要
数据分析、图形分析和机器学习领域的新兴软件应用程序必须处理越来越多的数据。这种数据密集型应用程序对计算机系统的通信和存储部分的压力大于对计算部分的压力。然而,今天的大多数S系统都是以计算为中心的。从某种意义上说,他们的设计侧重于提高计算效率。近数据计算或近存储器处理可以显着减少存储器和处理器之间的数据通信,为显着提高下一代计算系统的能效提供了潜力。该项目调查并解决了下一代以内存为中心的处理器设计面临的挑战?特别是近内存(PNM)处理体系结构。该项目将表征未来应用程序的能量和时间行为,并利用这种理解来评估如何最好地构建将内存和计算紧密结合的新系统。具体地说,这些活动将涉及i)编程模型,ii)处理-接近内存的体系结构,以及iii)电源和放大器热管理,以及开发横切数据移动、编译器和微体系结构优化。这项工作的结果可能会对未来企业和高性能计算系统的设计产生影响。该项目的主要原则、见解和成果将作为模块整合到计算机体系结构的主流课程中。调查人员还将继续参与研究所的外联计划,这些计划的目标是促进本科生、少数族裔和女性学生参与工程研究和高等教育。
英文摘要
Emerging software applications in data analytics, graph analysis, and machine learning must process increasing volumes of data. Such data-intensive applications stress the communication and storage parts of a computer system more than the computation parts. Yet most of today?s systems are ?compute-centric? in the sense that their designs focus on improving the efficiency of computation. Computing near data or processing-near-memory can significantly reduce data communication between memory and processor providing potential for significant improvement in energy-efficiency of next generation computing systems. This project investigates and addresses the challenges facing the design of the next generation of memory-centric processors ? specifically processing-near-memory (PNM) architectures. The project will characterize the energy and time behavior of future applications and use this understanding to assess how to best architect new systems that combine memory and compute in close proximity. Specifically, the activities will address i) programming models, ii) processing-near-memory architectures, and iii) power & thermal managements with the development of cross-cutting data movement, compiler and microarchitectural optimizations. The results of this work can influence the design of future enterprise and high performance computing systems. The major principles, insights, and outcomes of this project will be integrated as modules into mainstream courses in Computer Architecture. The investigators will also continue their participation in Institute outreach programs that have the goal of promoting participation of undergraduate, minority, and female students in engineering research and higher education.
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会议论文
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资助金额:60.0万元
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依托单位: