Готові списки джерел за темами / Remote Direct Memory Acce

Добірка наукової літератури з теми "Remote Direct Memory Acce"

Автор: Grafiati
Опубліковано: 14 березня 2023

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Статті в журналах з теми "Remote Direct Memory Acce"

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Chen, Wei, Songping Yu, and Zhiying Wang. "Fast In-Memory Key–Value Cache System with RDMA." Journal of Circuits, Systems and Computers 28, no. 05 (May 2019): 1950074. http://dx.doi.org/10.1142/s0218126619500749.

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Анотація:
The quick advances of Cloud and the advent of Fog computing impose more and more critical demand for computing and data transfer of low latency onto the underlying distributed computing infrastructure. Remote direct memory access (RDMA) technology has been widely applied for its low latency of remote data access. However, RDMA gives rise to a host of challenges in accelerating in-memory key–value stores, such as direct remote memory writes, making the remote system more vulnerable. This study presents an in-memory key–value system based on RDMA, named Craftscached, which enables: (1) buffering remote memory writes into a communication cache memory to eliminate direct remote memory writes to the data memory area; (2) dividing the communication cache memory into RDMA-writable and RDMA-readable memory zones to reduce the possibility of data corruption due to stray memory writes and caching data into an RDMA-readable memory zone to improve the remote memory read performance; and (3) adopting remote out-of-place direct memory write to achieve high performance of remote read and write. Experimental results in comparison with Memcached indicate that Craftscached provides a far better performance: (1) in the case of read-intensive workloads, the data access of Craftscached is about 7–43[Formula: see text] and 18–72.4% better than those of TCP/IP-based and RDMA-based Memcached, respectively; (2) the memory utilization of small objects is more efficient with only about 3.8% memory compaction overhead.
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2

Nyrkov, Anatoliy, Konstantin Ianiushkin, Andrey Nyrkov, Yulia Romanova, and Vagiz Gaskarov. "Data structures access model for remote shared memory." E3S Web of Conferences 244 (2021): 07001. http://dx.doi.org/10.1051/e3sconf/202124407001.

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Анотація:
Recent achievements in high-performance computing significantly narrow the performance gap between single and multi-node computing, and open up opportunities for systems with remote shared memory. The combination of in-memory storage, remote direct memory access and remote calls requires rethinking how data organized, protected and queried in distributed systems. Reviewed models let us implement new interpretations of distributed algorithms allowing us to validate different approaches to avoid race conditions, decrease resource acquisition or synchronization time. In this paper, we describe the data model for mixed memory access with analysis of optimized data structures. We also provide the result of experiments, which contain a performance comparison of data structures, operating with different approaches, evaluate the limitations of these models, and show that the model does not always meet expectations. The purpose of this paper to assist developers in designing data structures that will help to achieve architectural benefits or improve the design of existing distributed system.
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3

Niki, Kazuhisa, and Jing Luo. "An fMRI Study on the Time-Limited Role of the Medial Temporal Lobe in Long-Term Topographical Autobiographic Memory." Journal of Cognitive Neuroscience 14, no. 3 (April 1, 2002): 500–507. http://dx.doi.org/10.1162/089892902317362010.

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The time-limited role of the medial temporal lobe (MTL) in human long-term memory is well known. However, there is still no direct neuroimaging evidence to confirm it. In this fMRI study, nine subjects were scanned while asked to recall the places they visited more than seven years ago (remote memories); and the places they visited recently (recent memories). We observed robust and dominant MTL activity peaking in the left parahippocampal gyrus when recent memories were contrasted with remote memories. This result provided direct evidence for the time-limited role of the MTL in long-term topographical autobiographic memory. Further analysis revealed that this MTL activity was not due to the fact that the retrieval of recent memories was accompanied by more details. When detailed recent memories were contrasted with detailed remote memories, there was still MTL activity peaking in the left parahippocampal gyrus. The effects of details in remote memories are also discussed.
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4

Hemmatpour, Masoud, Bartolomeo Montrucchio, and Maurizio Rebaudengo. "Communicating Efficiently on Cluster-Based Remote Direct Memory Access (RDMA) over InfiniBand Protocol." Applied Sciences 8, no. 11 (October 24, 2018): 2034. http://dx.doi.org/10.3390/app8112034.

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Анотація:
Distributed systems are commonly built under the assumption that the network is the primary bottleneck, however this assumption no longer holds by emerging high-performance RDMA enabled protocols in datacenters. Designing distributed applications over such protocols requires a fundamental rethinking in communication components in comparison with traditional protocols (i.e., TCP/IP). In this paper, communication paradigms in existing systems and new possible paradigms have been investigated. Advantages and drawbacks of each paradigm have been comprehensively analyzed and experimentally evaluated. The experimental results show that writing the requests to server and reading the response presents up to 10 times better performance comparing to other communication paradigms. To further expand the investigation, the proposed communication paradigm has been substituted in a real-world distributed application, and the performance has been enhanced up to seven times.
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Rybintsev, Vladimir O. "Estimating the Performance of Computing Clusters without Accelerators Based on TOP500 Results." Mathematics 10, no. 19 (September 30, 2022): 3580. http://dx.doi.org/10.3390/math10193580.

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Анотація:
Based on an analysis of TOP500 results, a functional dependence of the performance of clusters without accelerators according to the Linpack benchmark on their parameters was determined. The comparison of calculated and tested results showed that the estimation error does not exceed 2% for processors of different generations and manufacturers (Intel, AMD, Fujitsu) with different technologies of a system interconnect. The achieved accuracy of the calculation allows successful prediction of the performance of a cluster when its parameters (node performance, number of nodes, number of network interfaces, network technology, remote direct memory access, or remote direct memory access over converged Ethernet mode) are changed without resorting to a complex procedure of real testing.
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Shou, Qinghui, Koichiro Uto, Wei-Chih Lin, Takao Aoyagi, and Mitsuhiro Ebara. "Near-Infrared-Irradiation-Induced Remote Activation of Surface Shape-Memory to Direct Cell Orientations." Macromolecular Chemistry and Physics 215, no. 24 (September 29, 2014): 2473–81. http://dx.doi.org/10.1002/macp.201400353.

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Zhu, Bohong, Youmin Chen, Qing Wang, Youyou Lu, and Jiwu Shu. "Octopus + : An RDMA-Enabled Distributed Persistent Memory File System." ACM Transactions on Storage 17, no. 3 (August 31, 2021): 1–25. http://dx.doi.org/10.1145/3448418.

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Non-volatile memory and remote direct memory access (RDMA) provide extremely high performance in storage and network hardware. However, existing distributed file systems strictly isolate file system and network layers, and the heavy layered software designs leave high-speed hardware under-exploited. In this article, we propose an RDMA-enabled distributed persistent memory file system, Octopus + , to redesign file system internal mechanisms by closely coupling non-volatile memory and RDMA features. For data operations, Octopus + directly accesses a shared persistent memory pool to reduce memory copying overhead, and actively fetches and pushes data all in clients to rebalance the load between the server and network. For metadata operations, Octopus + introduces self-identified remote procedure calls for immediate notification between file systems and networking, and an efficient distributed transaction mechanism for consistency. Octopus + is enabled with replication feature to provide better availability. Evaluations on Intel Optane DC Persistent Memory Modules show that Octopus + achieves nearly the raw bandwidth for large I/Os and orders of magnitude better performance than existing distributed file systems.
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Gerstenberger, Robert, Maciej Besta, and Torsten Hoefler. "Enabling Highly-Scalable Remote Memory Access Programming with MPI-3 One Sided." Scientific Programming 22, no. 2 (2014): 75–91. http://dx.doi.org/10.1155/2014/571902.

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Анотація:
Modern interconnects offer remote direct memory access (RDMA) features. Yet, most applications rely on explicit message passing for communications albeit their unwanted overheads. The MPI-3.0 standard defines a programming interface for exploiting RDMA networks directly, however, it's scalability and practicability has to be demonstrated in practice. In this work, we develop scalable bufferless protocols that implement the MPI-3.0 specification. Our protocols support scaling to millions of cores with negligible memory consumption while providing highest performance and minimal overheads. To arm programmers, we provide a spectrum of performance models for all critical functions and demonstrate the usability of our library and models with several application studies with up to half a million processes. We show that our design is comparable to, or better than UPC and Fortran Coarrays in terms of latency, bandwidth and message rate. We also demonstrate application performance improvements with comparable programming complexity.
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Ziegler, Tobias, Viktor Leis, and Carsten Binnig. "RDMA Communciation Patterns." Datenbank-Spektrum 20, no. 3 (September 29, 2020): 199–210. http://dx.doi.org/10.1007/s13222-020-00355-7.

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Анотація:
Abstract Remote Direct Memory Access (RDMA) is a networking protocol that provides high bandwidth and low latency accesses to a remote node’s main memory. Although there has been much work around RDMA, such as building libraries on top of RDMA or even applications leveraging RDMA, it remains a hard problem to identify the most suitable RDMA primitives and their combination for a given problem. While there have been some initial studies included in papers that aim to investigate selected performance characteristics of particular design choices, there has not been a systematic study to evaluate the communication patterns of scale-out systems. In this paper, we address this issue by systematically investigating how to efficiently use RDMA for building scale-out systems.
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Wang, Helong, Dingtao Shen, Wenlong Chen, Yiheng Liu, Yueping Xu, and Debao Tan. "Run-Length-Based River Skeleton Line Extraction from High-Resolution Remote Sensed Image." Remote Sensing 14, no. 22 (November 18, 2022): 5852. http://dx.doi.org/10.3390/rs14225852.

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Анотація:
Automatic extraction of the skeleton lines of river systems from high-resolution remote-sensing images has great significance for surveying and managing water resources. A large number of existing methods for the automatic extraction of skeleton lines from raster images are primarily used for simple graphs and images (e.g., fingerprint, text, and character recognition). These methods generally are memory intensive and have low computational efficiency. These shortcomings preclude their direct use in the extraction of skeleton lines from large volumes of high-resolution remote-sensing images. In this study, we developed a method to extract river skeleton lines based entirely on run-length encoding. This method attempts to replace direct raster encoding with run-length encoding for storing river data, which can considerably compress raster data. A run-length boundary tracing strategy is used instead of complete raster matrix traversal to quickly determine redundant pixels, thereby significantly improving the computational efficiency. An experiment was performed using a 0.5 m-resolution remote-sensing image of Yiwu city in the Chinese province of Zhejiang. Raster data for the rivers in Yiwu were obtained using both the DeepLabv3+ deep learning model and the conventional visual interpretation method. Subsequently, the proposed method was used to extract the skeleton lines of the rivers in Yiwu. To compare the proposed method with the classical raster-based skeleton line extraction algorithm developed by Zhang and Suen in terms of memory consumption and computational efficiency, the visually interpreted river data were used to generate skeleton lines at different raster resolutions. The results showed that the proposed method consumed less than 1% of the memory consumed by the classical method and was over 10 times more computationally efficient. This finding suggests that the proposed method has the potential for river skeleton line extraction from terabyte-scale remote-sensing image data on personal computers.
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Дисертації з теми "Remote Direct Memory Acce"

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Velusamy, Vijay. "Adapting Remote Direct Memory Access based file system to parallel Input-/Output." Master's thesis, Mississippi State : Mississippi State University, 2003. http://library.msstate.edu/etd/show.asp?etd=etd-11112003-092209.

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Tsai, Chia-Tai, and 蔡嘉泰. "An Implementation of Remote Direct Memory Access." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/22697129825206075428.

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Анотація:
碩士
國立交通大學
資訊科學系所
92
With the increase of network bandwidth from 10M to 10G bps, the factors that affect network system performance have found to be relevant with Network Protocol. In traditional architecture, the packets are copied among different protocol layers, before they are transmitted. The data copy consumes many recourses and leads to system inefficiency. However, few studies concern about increasing system efficiency from this point of view. In this thesis, we implement a new Network Protocol, called as Remote Direct Memory Access (RDMA), which can move data packets to a specific memory address. Therefore, the system performance can be improved. Numerical results show that RDMA can achieve a better performance if the packet size is large.
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Частини книг з теми "Remote Direct Memory Acce"

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Huang, Chenchen, Huiqi Hu, Xuecheng Qi, Xuan Zhou, and Aoying Zhou. "RS-store: A SkipList-Based Key-Value Store with Remote Direct Memory Access." In Database Systems for Advanced Applications, 314–23. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59410-7_22.

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Vejesh, V., G. Reshma Nayar, and Shiju Sathyadevan. "Optimization of Hadoop Using Software-Internet Wide Area Remote Direct Memory Access Protocol and Unstructured Data Accelerator." In Software Engineering in Intelligent Systems, 261–70. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18473-9_26.

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"Remote Direct Memory Access and iWARP." In Attaining High Performance Communications, 217–40. Chapman and Hall/CRC, 2016. http://dx.doi.org/10.1201/b10249-15.

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Тези доповідей конференцій з теми "Remote Direct Memory Acce"

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Susukita, Ryutaro, Yoshiyuki Morie, Takeshi Nanri, and Hidetomo Shibamura. "NSIM-ACE: An Interconnection Network Simulator for Evaluating Remote Direct Memory Access." In 6th International Conference on Simulation and Modeling Methodologies, Technologies and Applications. SCITEPRESS - Science and Technology Publications, 2016. http://dx.doi.org/10.5220/0005978802540261.

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Magoutis, Kostas. "Memory Management Support for Multi-Programmed Remote Direct Memory Access (RDMA) Systems." In 2005 IEEE International Conference on Cluster Computing. IEEE, 2005. http://dx.doi.org/10.1109/clustr.2005.347031.

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Lavrijsen, Wim, and Costin Iancu. "Application Level Reordering of Remote Direct Memory Access Operations." In 2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS). IEEE, 2017. http://dx.doi.org/10.1109/ipdps.2017.98.

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Huang, Haixin, Kaixin Huang, Litong You, and Linpeng Huang. "Forca: Fast and Atomic Remote Direct Access to Persistent Memory." In 2018 IEEE 36th International Conference on Computer Design (ICCD). IEEE, 2018. http://dx.doi.org/10.1109/iccd.2018.00045.

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Du, Jingwen, Fang Wang, Dan Feng, Weiguang Li, and Fan Li. "Fast and Consistent Remote Direct Access to Non-volatile Memory." In ICPP 2021: 50th International Conference on Parallel Processing. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3472456.3472480.

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Murata, Naofumi, Hideyuki Kawashima, and Osamu Tatebe. "Accelerating read atomic multi-partition transaction with remote direct memory access." In 2017 IEEE International Conference on Big Data and Smart Computing (BigComp). IEEE, 2017. http://dx.doi.org/10.1109/bigcomp.2017.7881705.

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Li, Tianxi, Dipti Shankar, Shashank Gugnani, and Xiaoyi Lu. "RDMP-KV: Designing Remote Direct Memory Persistence based Key-Value Stores with PMEM." In SC20: International Conference for High Performance Computing, Networking, Storage and Analysis. IEEE, 2020. http://dx.doi.org/10.1109/sc41405.2020.00056.

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Cohen, David, Thomas Talpey, Arkady Kanevsky, Uri Cummings, Michael Krause, Renato Recio, Diego Crupnicoff, Lloyd Dickman, and Paul Grun. "Remote Direct Memory Access over the Converged Enhanced Ethernet Fabric: Evaluating the Options." In 2009 17th Annual IEEE Symposium on High-Performance Interconnects (HOTI). IEEE, 2009. http://dx.doi.org/10.1109/hoti.2009.23.

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"Panel: Remote Direct Memory Access over the Converged Enhanced Ethernet Fabric: Evaluating the Options." In 2009 17th Annual IEEE Symposium on High-Performance Interconnects (HOTI). IEEE, 2009. http://dx.doi.org/10.1109/hoti.2009.31.

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Al-Fawwaz, Abdullah A., Yousif M. Al-Dhafiri, Muhammad N. Akhtar, Samad Ali, Muhammad Ibrahim, Marie Ann Giddins, and Aimen Amer. "First Time Utilization of Cloud-Based Technology to Fast Track A 521 Million Cell Gas Condensate Reservoir Dynamic Model: A Case Study from Saudi Arabia." In Offshore Technology Conference. OTC, 2021. http://dx.doi.org/10.4043/31194-ms.

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Abstract The main objective of this study is to run a high-resolution dynamic simulation on a 521-million cell gas condensate field model for 50 years and capture the effects of gas condensate dropout. Two challenges were encountered on the user and service provider levels. The former is performing such work in a remote location with limited processing hardware resources. The latter is related to resolving memory, CPU allocation, technical support, system resources availability, integration between providers, and simulation needs on user demand. The approach adopted in this field development planning study was to utilize the latest cloud technology to run the 521 million cell simulation on cloud clusters as well as two upscaled versions (5 and 21 million cells). Such procedures can save significant processing time and money. As opposed to direct purchase and installation of clusters that require maintenance, updates, and become outdated over time, with a cloud cluster that is kept updated and maintained by service providers, significant cost overheads (in millions) could be saved. Using such technology allows operators to get global technical support making executing such simulations viable even in the most remote locations. The field under study is a gas condensate field that on its own can present multiple challenges including the gas condensate banking impact and compositional modeling. The main strategy adopted in this study was to utilize the static model with no upscaling, to capture the geological details. With the utilization of cloud technology, all simulations were completed in record time. The 5 million cell model was executed in 23 min, while the 21 million cell model executed in 4 hours, and the 521 million executed in 65 hours. The results of the simulations showed that the gas condensate banking effect was captured clearly after the implementation of local grid refinement (LGR) on the upscaled models. A good match was observed in the production profiles for all key parameters, such as gas rates, oil and condensate rates and their cumulative productions. Using cloud technology saved the operating company over 5 million dollars in cluster hardware direct purchase, support and maintenance costs, making the utilization of the cloud computing technology not only economical, but also bringing about operational efficiencies. This is the first time a cloud-based dynamic simulation is performed on a 521 million cell model in the world and the first time, an on-demand reservoir simulation based on cloud computing technology has been conducted in the Middle East region. This paper will also show that, given the right model parameters, carefully built smaller models can yield results similar to larger models, highlighting the importance of efficiency.
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Звіти організацій з теми "Remote Direct Memory Acce"

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Talpey, T., and B. Callaghan. Remote Direct Memory Access Transport for Remote Procedure Call. RFC Editor, January 2010. http://dx.doi.org/10.17487/rfc5666.

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Recio, R., B. Metzler, P. Culley, J. Hilland, and D. Garcia. A Remote Direct Memory Access Protocol Specification. RFC Editor, October 2007. http://dx.doi.org/10.17487/rfc5040.

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Shah, H., F. Marti, W. Noureddine, A. Eiriksson, and R. Sharp. Remote Direct Memory Access (RDMA) Protocol Extensions. RFC Editor, June 2014. http://dx.doi.org/10.17487/rfc7306.

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Sharp, R., and S. Wise. Enhanced Remote Direct Memory Access (RDMA) Connection Establishment. Edited by A. Kanevsky and C. Bestler. RFC Editor, April 2012. http://dx.doi.org/10.17487/rfc6581.

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Simpson, W., and T. Talpey. Remote Direct Memory Access Transport for Remote Procedure Call Version 1. Edited by C. Lever. RFC Editor, June 2017. http://dx.doi.org/10.17487/rfc8166.

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Romanow, A., J. Mogul, T. Talpey, and S. Bailey. Remote Direct Memory Access (RDMA) over IP Problem Statement. RFC Editor, December 2005. http://dx.doi.org/10.17487/rfc4297.

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Pinkerton, J., and E. Deleganes. Direct Data Placement Protocol (DDP) / Remote Direct Memory Access Protocol (RDMAP) Security. RFC Editor, October 2007. http://dx.doi.org/10.17487/rfc5042.

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Coene, L. Applicability of Remote Direct Memory Access Protocol (RDMA) and Direct Data Placement (DDP). Edited by C. Bestler. RFC Editor, October 2007. http://dx.doi.org/10.17487/rfc5045.

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Talpey, T., and C. Juszczak. Network File System (NFS) Remote Direct Memory Access (RDMA) Problem Statement. RFC Editor, May 2009. http://dx.doi.org/10.17487/rfc5532.

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Bailey, S., and T. Talpey. The Architecture of Direct Data Placement (DDP) and Remote Direct Memory Access (RDMA) on Internet Protocols. RFC Editor, December 2005. http://dx.doi.org/10.17487/rfc4296.

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