已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

RR-Compound: RDMA-Fused gRPC for Low Latency and High Throughput With an Easy Interface

远程直接内存访问 计算机科学 吞吐量 接口(物质) 低延迟(资本市场) 延迟(音频) 并行计算 计算机硬件 操作系统 计算机网络 电信 气泡 最大气泡压力法 无线
作者
Liang Geng,Hao Wang,Jingsong Meng,Dayi Fan,Sami Ben-Romdhane,Hari Kadayam Pichumani,Vinay Phegade,X Zhang
出处
期刊:IEEE Transactions on Parallel and Distributed Systems [Institute of Electrical and Electronics Engineers]
卷期号:35 (8): 1488-1505
标识
DOI:10.1109/tpds.2024.3404394
摘要

Advanced data centers strive for high performance and throughput, which can be achieved through the desirable merits of Remote Procedure Call (RPC) programming model and the low latency of Remote Direct Memory Access (RDMA). However, despite the widespread availability of these software and hardware utilities, they have been utilized separately for their own applications in existing production systems for many years. Although researchers have attempted to develop RDMA-enabled RPC prototypes, they often face challenges such as API discrepancies and a lack of specific features for effective integration with major production software, rendering them incompatible. This industry R&D project aims to enhance the performance of gRPC, a widely utilized RPC framework in major companies, by integrating RDMA as an internal component. Our system solution, called, combines the simple user interface and other merits of gRPC with low latency for remote data accesses. RR-Compound is fully compatible with gRPC and can serve as a seamless replacement without altering existing applications. However, to achieve low latency, high throughput, and scalability for RR-Compound, several technical challenges in managing network connections and memory space utilization must be effectively addressed. To overcome the limitations of existing connection methods, we have developed a new method called BPEV that is independent of gRPC and applicable to all RDMA systems. We have also retained the asynchronous framework of gRPC, albeit with limited buffer space in RDMA memory management. In micro-benchmarks, RR-Compound outperforms mRPC - the state-of-the-art RPC framework for a large number of connections, achieving a 14.77% increase in throughput and a 42.55% reduction in latency. Subsequently, we compare RR-Compound with gRPC over IPoIB using two real-world applications: KV-Store and TensorFlow. RR-Compound achieves up to a 2.35x increase in throughput and reduces the average latency by 46.92%.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
Queenie完成签到,获得积分20
1秒前
杨科发布了新的文献求助10
1秒前
2秒前
3秒前
3秒前
123发布了新的文献求助10
5秒前
7秒前
耍酷鼠标完成签到 ,获得积分0
7秒前
无限水杯完成签到,获得积分10
7秒前
starfish发布了新的文献求助10
8秒前
8秒前
王佟发布了新的文献求助10
9秒前
钟意完成签到,获得积分10
10秒前
张星星完成签到 ,获得积分10
10秒前
xttttttt发布了新的文献求助10
10秒前
11秒前
Qi完成签到 ,获得积分10
11秒前
科研通AI6.1应助姚夏采纳,获得10
11秒前
12秒前
12秒前
13秒前
13秒前
14秒前
在水一方应助橙汁采纳,获得10
14秒前
性感母蟑螂完成签到 ,获得积分10
16秒前
平等友善团结完成签到 ,获得积分10
16秒前
16秒前
HangZ发布了新的文献求助10
17秒前
caixk发布了新的文献求助10
17秒前
17秒前
研友_LkDm3n发布了新的文献求助10
20秒前
20秒前
21秒前
21秒前
张先森完成签到,获得积分10
22秒前
22秒前
羙he完成签到,获得积分10
22秒前
25秒前
Zinc发布了新的文献求助30
25秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Developing Genetic Editing Tools for Lysobacter 2000
Adhesion Science: Principles & Practice 800
The Graphene Handbook (2019 Edition) 700
Signals, Systems, and Signal Processing 610
IEST-RP-CC018: Cleanroom Cleaning and Sanitization: Operating and Monitoring Procedures 600
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6529002
求助须知:如何正确求助?哪些是违规求助? 8321929
关于积分的说明 17816057
捐赠科研通 5630598
什么是DOI,文献DOI怎么找? 2931100
邀请新用户注册赠送积分活动 1907732
关于科研通互助平台的介绍 1767009