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II-NEW: INSpiRE: Infrastructure for heterogeNeous System ResEarch

II-NEW: INSpiRE: Infrastructure for heterogeNeous System ResEarch
II-新:INSpiRE:异构系统研究基础设施
批准号:
1205618
负责人:
Chitaranjan Das
金额:
$55.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-10-01 至 2015-09-30

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中文摘要
翻译
这个名为INSpiRE的机构基础设施项目旨在建立一个新的共享研究设施,用于在计算机科学和工程的几个领域进行多学科研究。提出的基础设施是一个具有异构内存和存储层次结构的异构集群计算系统。该设备将促进研究项目的实施、评估和验证,重点关注系统设计堆栈的几个层,共同的主题是利用这些层中的每一层的异构性来设计异构多核架构。它将使这些项目之间的思想相互融合,并更紧密地整合在一起,从而启动新的交叉研究。此外,三个应用领域的现有项目(神经形态视觉处理、高性能软计算和隐私保护数据集的统计分析)将直接受益于该基础设施。拟议的基础设施将支持50多名博士生在三个主要学科的研究活动:硬件架构、系统软件和应用。基础设施将成为推动设计未来多核系统的最先进技术的催化剂。参与该项目的本科生、研究生、少数民族学生和女性学生将在几个交叉领域获得实践培训。在这项研究中开发的工具技术将用于现有和新课程的教学,并将向公众提供。
英文摘要
This institutional infrastructure (II) project, called INSpiRE, is aimed at building a new shared research facility for conducting multidisciplinary research in several areas of computer science and engineering. The proposed infrastructure is a heterogeneous cluster computing system with a heterogeneous memory and storage hierarchy. This equipment will facilitate implementation, evaluation and validation of research projects that focus on several layers of the system design stack, with the common theme of leveraging heterogeneity in each of these layers for designing heterogeneous multicore architectures. It would enable cross-pollination of ideas and tighter integration across these projects for initiating new cross-cutting research. In addition, existing projects in three application domains (neuromorphic vision processing, high performance soft computing, and statistical analysis of privacy-preserving datasets) will directly benefit from this infrastructure.The proposed infrastructure would support the research activities of more than 50 Ph.D. students in three major disciplines: hardware architecture, system software, and applications. The infrastructure will be a catalyst to advance the state-of-the-art in designing future multicore systems. Undergraduate, graduate, minority and women students involved in the project will get hands-on training in several cross-cutting areas. The tools techniques developed in this research will be used in teaching existing and new courses, and will be made publicly available.
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会议论文
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SHF: Medium: A Technology-Architecture-Algorithm Co-Design Exploration of Scalable Spiking Neural Networks (SNNs)
SHF: Medium: Embracing Architectural Heterogeneity through Hardware-Software Co-design
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