NeTS: CSR: Medium: Collaborative research:Wireless Datacenter-on-Chip (WiDoC): A New Paradigm for Big Data Computing

NeTS：CSR：媒介：协作研究：无线片上数据中心（WiDoC）：大数据计算的新范式

• 批准号: 1564014
• 负责人: Partha Pande
• 金额: $ 56.4万
• 依托单位: Washington State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-08-01 至 2020-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1564014&HistoricalAwards=false
• 关键词: NeTS; CSR; Medium; Collaborative; research

This project focuses on a new paradigm for Big Data computing, namely a Datacenter-on-a-Chip (DoC) consisting of thousands of cores that can run compute- and data-intensive applications, orders of magnitude more efficiently compared to existing platforms. Indeed, nowadays data centers and high performance computing clusters are dominated by power, thermal, and area constraints; they occupy large spaces and necessitate sophisticated cooling mechanisms to sustain the required performance levels. In contrast, this project relies on emerging many-core processors that can run Big Data applications while provisioning the system resources for the necessary power/performance/thermal trade-offs. Consequently, various big data applications like social computing, life sciences, networking, or entertainment, can benefit immensely from this new design paradigm that aims at achieving server-scale performance from hand-held devices. The proposed work introduces a new direction in networked system design enabled by the emerging wireless on-chip interconnect paradigm. Indeed, achieving DoC level of massive integration requires significant innovation at multiple levels of abstraction, ranging from the design of the on-chip network and associated physical layer, all the way to mapping and runtime management of various applications. To this end, the research goals include: - Design of a small-world wireless network architecture as a communication backbone for manycore-enabled wireless DoC (WiDoC) - Design methods at physical layer for highly-integrated 3D wireless DoC suitable for low latency data communication - Evaluation of various latency-power-thermal (LPT) trade-offs for the proposed WiDoC platform with relevant big data applications. While most of the prior work considers 2D many-core platforms where communication happens through wired links, this proposal redefines the very foundations of on-chip communication via 3D small-world network architecture with sub-THZ wireless links in the planar layers and inductive coupling-based wireless interfaces in the vertical direction; this allows for full flexibility and reconfiguration and makes such platforms suitable for processing big data applications at unprecedented levels of energy efficiency. The proposed research is unique as it brings together highly novel and interdisciplinary concepts from network-on-chip (NoC), wireless, and complex networks, communication circuits, and optimization techniques aimed at single chip solutions for achieving data center-scale performance. The educational contribution of this work will help establishing an interdisciplinary research-based curriculum for high performance many-core system design meant to increase the number of students attracted to this area of engineering.

该项目专注于大数据计算的新范式，即由数千个核心组成的片上数据中心(DOC)，这些核心可以运行计算密集型和数据密集型应用程序，与现有平台相比效率更高。事实上，如今的数据中心和高性能计算集群受到电力、热量和面积限制的影响；它们占用很大的空间，需要复杂的冷却机制来维持所需的性能级别。相比之下，该项目依赖于新兴的多核处理器，这些处理器可以运行大数据应用程序，同时为必要的功率/性能/热量权衡配置系统资源。因此，各种大数据应用，如社会计算、生命科学、网络或娱乐，都可以从这种旨在通过手持设备实现服务器级性能的新设计范式中受益匪浅。提出的工作为网络系统设计引入了一个新的方向，这是由新兴的无线片上互连范例实现的。事实上，实现Doc级别的大规模集成需要在多个抽象级别上进行重大创新，从芯片上网络和相关物理层的设计，一直到各种应用程序的映射和运行时管理。为此，研究目标包括：-设计小世界无线网络架构，作为多核支持的无线Doc(WiDoC)的通信骨干-适合低延迟数据通信的高度集成的3D无线Doc的物理层设计方法-评估建议的WiDoC平台与相关大数据应用的各种延迟-功率-热量(LPT)权衡。虽然之前的大部分工作考虑了通过有线链路进行通信的2D多核平台，但该提案重新定义了通过3D小世界网络体系结构进行片上通信的基础，在平面层使用亚THz无线链路，在垂直方向使用基于感应耦合的无线接口；这允许充分的灵活性和重新配置，使此类平台适合以前所未有的能效水平处理大数据应用。这项拟议的研究是独一无二的，因为它结合了片上网络(NOC)、无线和复杂网络、通信电路以及旨在实现数据中心规模性能的单芯片解决方案的优化技术的高度新颖和跨学科的概念。这项工作的教育贡献将有助于建立一个基于跨学科研究的高性能多核心系统设计课程，旨在增加这一工程领域吸引的学生数量。