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Minimizing the Hidden Cost of RDMA
2009 29th IEEE International Conference on Distributed Computing Systems, 2009Remote Direct Memory Access (RDMA) is a mechanism whereby data is moved directly between the application memory of the local and remote computer. In bypassing the operating system, RDMA significantly reduces the CPU cost of large data transfers and eliminates intermediate copying across buffers, thereby making it very attractive for implementing ...
Philip Werner Frey, Gustavo Alonso
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FedRDMA: Communication-Efficient Cross-Silo Federated LLM via Chunked RDMA Transmission
EuroMLSys@EuroSysCommunication overhead is a significant bottleneck in federated learning (FL), which has been exaggerated with the increasing size of AI models. In this paper, we propose FedRDMA, a communication-efficient cross-silo FL system that integrates RDMA into ...
Zeling Zhang +5 more
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Fast, Scalable, and Accurate Rate Limiter for RDMA NICs
Conference on Applications, Technologies, Architectures, and Protocols for Computer CommunicationRDMA NICs desire a rate limiter that is accurate, scalable, and fast: to precisely enforce the policies such as congestion control and traffic isolation, to support a large number of flows, and to sustain high packet rates.
Zilong Wang +8 more
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Proceedings of the Second Asia-Pacific Workshop on Systems, 2011
Modern cloud computing infrastructures are steadily pushing the performance of their network stacks. At the hardware-level, already some cloud providers have upgraded parts of their network to 10GbE. At the same time there is a continuous effort within the cloud community to improve the network performance inside the virtualization layers.
Animesh Trivedi +2 more
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Modern cloud computing infrastructures are steadily pushing the performance of their network stacks. At the hardware-level, already some cloud providers have upgraded parts of their network to 10GbE. At the same time there is a continuous effort within the cloud community to improve the network performance inside the virtualization layers.
Animesh Trivedi +2 more
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LSCC: Link-Segmented Congestion Control for RDMA in Cross-Datacenter Networks
International Workshop on Quality of ServiceAs multiple datacenters are established in different geographical locations, some applications run on cross-datacenter networks. In order to improve the service quality, service providers establish dedicated links between datacenters to take advantage of
Minfei Long +4 more
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DPU-Direct: Unleashing Remote Accelerators via Enhanced RDMA for Disaggregated Datacenters
IEEE transactions on computersThis paper presents DPU-Direct, an accelerator disaggregation system that connects accelerator nodes (ANs) and CPU nodes (CNs) over a standard Remote Direct Memory Access (RDMA) network.
Yunkun Liao +4 more
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Zero-sided RDMA: Network-driven Data Shuffling for Disaggregated Heterogeneous Cloud DBMSs
Proc. ACM Manag. DataIn this paper, we present a novel communication scheme called zero-sided RDMA, enabling data exchange as a native network service using a programmable switch.
Matthias Jasny +5 more
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LoWAR: Enhancing RDMA over Lossy WANs with Transparent Error Correction
International Workshop on Quality of ServiceAs the increase of geographically distributed applications continues, the demand for high-speed, long-distance data transmission across wide area networks (WANs) has significantly increased.
Tianyu Zuo +6 more
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Achieving Low Latency for Multipath Transmission in RDMA Based Data Center Network
IEEE Transactions on Cloud ComputingRemote Direct Memory Access (RDMA) achieves ultra-low latency, high throughput and low CPU overhead in data center by implementing the transport logic in hardware network interface card (NIC).
Zhaoyi Li +3 more
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RDMA-driven MongoDB: An approach of RDMA enhanced NoSQL paradigm for large-Scale data processing
Information Sciences, 2019Abstract With the rapid development of big data and data center networks, NoSQL database has won great popularity for its excellent performance in accelerating the performance of many online and offline big data applications, such as HBase, Cassandra and MongoDB.
Bobo Huang +6 more
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