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: 1564022
• 负责人: Radu Marculescu
• 金额: $ 65万
• 依托单位: Carnegie-Mellon 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 2019-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1564022&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），可以运行计算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功率、热量和面积限制的支配;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水平。相比之下，该项目依赖于新兴的众核处理器，这些处理器可以运行大数据应用程序，同时为必要的功耗/性能/散热权衡提供系统资源。因此，各种大数据的应用，如社会计算，生命科学，网络，或娱乐，可以极大地受益于这种新的设计范式，旨在实现服务器规模的性能从手持设备。拟议的工作介绍了一个新的方向，在网络系统设计，使新兴的无线片上互连范式。事实上，实现DoC级的大规模集成需要在多个抽象级别上进行重大创新，从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支持多核的无线DoC（WiDoC）的通信骨干-在物理层设计适合于低延迟数据通信的高度集成的3D无线DoC的方法-评估所提出的WiDoC平台与相关大数据应用的各种延迟-功率-热（LPT）权衡。虽然大多数现有工作考虑通过有线链路进行通信的2D众核平台，这一提议重新定义了通过3D小世界网络架构进行片上通信的基础，该架构在平面层中具有亚太赫兹无线链路和电感耦合，在垂直方向上基于无线接口;这允许充分的灵活性和重新配置，并使这种平台适合以前所未有的能效水平处理大数据应用。拟议的研究是独一无二的，因为它汇集了来自片上网络（NoC），无线和复杂网络，通信电路，以及针对单芯片解决方案的优化技术，以实现数据中心规模的性能。这项工作的教育贡献将有助于建立一个跨学科的研究为基础的高性能众核系统设计的课程，旨在增加吸引到这一工程领域的学生人数。