CAREER: Advancing On-chip Network Architecture for GPUs

职业：推进 GPU 片上网络架构

基本信息

批准号：
1750047
负责人：
Lizhong Chen
金额：
$ 45万
依托单位：
Oregon State University
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2018
资助国家：
美国
起止时间：
2018-02-01 至 2024-01-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1750047&HistoricalAwards=false
关键词：
CAREER Advancing chip Network Architecture

项目摘要

Graphics Processing Units (GPUs) have been playing critical roles in numerous disciplines and sectors, as well as many emerging fields that might not otherwise be possible. Examples include autonomous driving, virtual reality, medical imaging, and parallel computing in HPC systems and data-centers. This success should be largely credited to the massively parallel computing capability of GPU architectures, which can integrate thousands of processing cores on a single chip. To continue meeting growing performance expectations and energy-efficiency, a key challenge over the next decade and beyond is how to support on-chip communications among the vast number of processing cores and provide fast and efficient data transfer to feed concurrent computations.This project establishes an integrated research and education program to investigate cross-cutting approaches and techniques to advance and improve the effectiveness of on-chip networks (NoCs) in GPU systems, as well as to create academic course materials and outreach activities for the education and broad dissemination of the proposed subjects. The research component has three main thrusts: 1) increasing fundamental understanding of GPU NoCs by investigating, among many other open problems, the criticality, scalability and sensitivity of NoCs to GPU architecture; 2) designing and implementing cost-effective router-based and routerless GPU NoCs, and 3) co-optimizing NoC design with other GPU subsystems such as cache and warp scheduling. The education and outreach components include developing automated tools to increase the effectiveness of simulation-based course projects and engage students from diverse backgrounds, strengthening architecture course offerings, organizing interdisciplinary seminar courses, and leading various outreach activities on K-12 education, women and underrepresented groups.

图形处理单元（GPU）一直在众多学科和部门中扮演关键角色，以及许多可能是不可能的新兴领域。示例包括自主驾驶，虚拟现实，医学成像以及HPC系统和数据中心中的并行计算。这一成功应在很大程度上归功于GPU体系结构的大量平行计算能力，该计算能力可以在单个芯片上整合数千个处理核心。 To continue meeting growing performance expectations and energy-efficiency, a key challenge over the next decade and beyond is how to support on-chip communications among the vast number of processing cores and provide fast and efficient data transfer to feed concurrent computations.This project establishes an integrated research and education program to investigate cross-cutting approaches and techniques to advance and improve the effectiveness of on-chip networks (NoCs) in GPU systems, as well as to create academic course materials and outreach拟议学科的教育和广泛传播的活动。研究组成部分具有三个主要的推力：1）通过研究NOC对GPU架构的关键性，可伸缩性和敏感性，通过调查了对GPU NOC的基本了解； 2）设计和实施基于经济有效的路由器和无路由的GPU NOC，以及3）将NOC设计与其他GPU子系统（例如Cache和Warp Scheduling）进行了优化。教育和宣传组成部分包括开发自动化工具，以提高基于模拟的课程项目的有效性，并吸引来自不同背景的学生，加强建筑课程的产品，组织跨学科研讨会课程，并在K-12教育，妇女，妇女和不足的群体方面领导各种外展活动。

项目成果

期刊论文数量（9）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Express Link Placement for NoC-Based Many-Core Platforms

DOI：
10.1145/3337821.3337877
发表时间：
2019-08
期刊：
Proceedings of the 48th International Conference on Parallel Processing
影响因子：
0
作者：
Yunfan Li;Di Zhu;Lizhong Chen
通讯作者：
Yunfan Li;Di Zhu;Lizhong Chen

Characterizing On-Chip Traffic Patterns in General-Purpose GPUs: A Deep Learning Approach

表征通用 GPU 中的片上流量模式：深度学习方法

DOI：
10.1109/iccd46524.2019.00016
发表时间：
2019
期刊：
IEEE 37th International Conference on Computer Design (ICCD
影响因子：
0
作者：
Li, Yunfan;Penney, Drew;Ramamurthy, Abhishek;Chen, Lizhong
通讯作者：
Chen, Lizhong

Edge-Based Heuristics for Optimizing Shortcut-Augmented Topologies for HPC Interconnects

用于优化 HPC 互连的快捷增强拓扑的基于边缘的启发式方法

DOI：
10.3390/electronics11172778
发表时间：
2022
期刊：
Electronics
影响因子：
2.9
作者：
Fuad, Kazi Ahmed;Zeng, Kai;Chen, Lizhong
通讯作者：
Chen, Lizhong

UVMBench: A Comprehensive Benchmark Suite for Researching Unified Virtual Memory in GPUs

DOI：
发表时间：
2020-07
期刊：
ArXiv
影响因子：
0
作者：
Yongbin Gu;Wenxuan Wu;Yunfan Li;Lizhong Chen
通讯作者：
Yongbin Gu;Wenxuan Wu;Yunfan Li;Lizhong Chen

A Deep Reinforcement Learning Framework for Architectural Exploration: A Routerless NoC Case Study

DOI：
10.1109/hpca47549.2020.00018
发表时间：
2020-01-01
期刊：
2020 IEEE INTERNATIONAL SYMPOSIUM ON HIGH PERFORMANCE COMPUTER ARCHITECTURE (HPCA 2020)
影响因子：
0
作者：
Lin, Ting-Ru;Penney, Drew;Chen, Lizhong
通讯作者：
Chen, Lizhong

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Lizhong Chen其他文献

Combined liver and kidney transplantation in Guangzhou, China.

中国广州进行肝肾联合移植。

DOI：
发表时间：
2007
期刊：
Hepatobiliary & Pancreatic Diseases International
影响因子：
3.3
作者：
Xiao;Xiao;Guihua Chen;Lizhong Chen;Changxi Wang;Jie
通讯作者：
Jie

Kidney transplantation from living related donors aged more than 60 years: a single center experience

60 岁以上活体亲属捐献者的肾移植：单中心经验

DOI：
发表时间：
2013
期刊：
Renal Failure
影响因子：
3
作者：
Yifu Li;Jun Li;Q. Fu;Lizhong Chen;J. Fei;S. Deng;J. Qiu;Guodong Chen;Gang Huang;Changxi Wang
通讯作者：
Changxi Wang

Maximizing the performance of NoC-based MPSoCs under total power and power density constraints

在总功率和功率密度限制下最大限度地提高基于 NoC 的 MPSoC 的性能

DOI：
10.1109/isqed.2016.7479175
发表时间：
2016
期刊：
IEEE International Symposium on Quality Electronic Design
影响因子：
0
作者：
A. Shafaei;Yanzhi Wang;Lizhong Chen;Shuang Chen;Massoud Pedram
通讯作者：
Massoud Pedram

On Trade-off Between Static and Dynamic Power Consumption in NoC Power Gating

NoC功率门控中静态与动态功耗的权衡

DOI：
10.1109/islped.2019.8824936
发表时间：
2019
期刊：
International Symposium on Low Power Electronics and Design
影响因子：
0
作者：
Di Zhu;Yunfan Li;Lizhong Chen
通讯作者：
Lizhong Chen

Clinical and Pathologic Feature of Patients With Early Versus Late Active Antibody-Mediated Rejection After Kidney Transplantation: A Single-Center Experience

肾移植后早期与晚期活性抗体介导的排斥反应患者的临床和病理特征：单中心经验

DOI：
发表时间：
2021
期刊：
Transplantation Proceedings
影响因子：
0.9
作者：
Zixuan Wu;Longhui Qiu;Chang Wang;Xiaomian Liu;Qihao Li;Shuangjin Yu;Yuan Yue;Jie Li;Wutao Chen;Jiajian Lai;Lizhong Chen;Changxi Wang;Guodong Chen
通讯作者：
Guodong Chen