Towards connection-scalable RNIC architecture

doi:10.1007/s11227-024-05991-4

CSpace

	Towards connection-scalable RNIC architecture
	Kang, Ning 1,2; Wang, Zhan 1; Yang, Fan 1; Ma, Xiaoxiao 1,2; Ma, Zhenlong 1,2; Yuan, Guojun 1; Tan, Guangming 1
	2024-03-21
发表期刊	JOURNAL OF SUPERCOMPUTING
ISSN	0920-8542
页码	25
摘要	Remote Direct Memory Access (RDMA) is a widely adopted optimization strategy in datacenter networking that surpasses traditional kernel-based TCP/IP networking through mechanisms such as kernel bypass and hardware offloading. However, RDMA also faces a scalability challenge with regard to connection management due to limited on-chip memory capacity in the RDMA Network Interface Card (RNIC). This necessitates the storage of connection context within RNIC's memory and induces considerable performance degradation when maintaining a large number of connections. In this paper, we propose a novel RNIC microarchitecture design that achieves peak performance and scales well with the number of connections. First, we model RNIC and identify two key factors that degrade performance when the number of connections grows large: head-of-line blocking when accessing the connection context and connection context dependency in transmission processing. To address the head-of-line blocking problem, we then combine a non-blocking connection requester and connection context management module to process prepared connections first, which achieves peak message rate when the number of connections grows large. Besides, to eliminate connection context dependency in RNIC, we deploy a latency-hiding connection context scheduling strategy, maintaining low latency when the number of connections increases. We implement and evaluate our design, demonstrating its successful maintenance of peak message rate (66.4 Mop/s) and low latency (3.89 mu s) while scaling to over 50,000 connections with less on-chip memory footprint.
关键词	Architecture design Network Interface Card (NIC) Remote Direct Memory Access (RDMA) Scalability problem
DOI	10.1007/s11227-024-05991-4
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Program of China[2021YFB0300700] ; International Partnership Program of Chinese Academy of Sciences[171111KYSB20180011] ; National Science and Technology Innovation Program 2030[2020AAA0104402] ; NSFC[61972380] ; National Key Research and Development Program[2021YFB0300700] ; Research and Innovation Program of State Key Laboratory of Computer Architecture, ICT, CAS[CARCH5407]
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Hardware & Architecture ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS记录号	WOS:001190147700003
出版者	SPRINGER
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/38775
专题	中国科学院计算技术研究所
通讯作者	Wang, Zhan
作者单位	1.Chinese Acad Sci, Inst Comp Technol, Beijing 100089, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100089, Peoples R China
推荐引用方式 GB/T 7714	Kang, Ning,Wang, Zhan,Yang, Fan,et al. Towards connection-scalable RNIC architecture[J]. JOURNAL OF SUPERCOMPUTING,2024:25.
APA	Kang, Ning.,Wang, Zhan.,Yang, Fan.,Ma, Xiaoxiao.,Ma, Zhenlong.,...&Tan, Guangming.(2024).Towards connection-scalable RNIC architecture.JOURNAL OF SUPERCOMPUTING,25.
MLA	Kang, Ning,et al."Towards connection-scalable RNIC architecture".JOURNAL OF SUPERCOMPUTING (2024):25.