Výsledky vyhľadávania - "Distributed Graph Processing"

Nezha: An Efficient Distributed Graph Processing System on Heterogeneous Hardware

Autori: Pengjie Cui Haotian Liu Dong Jiang a ďalší

Zdroj: Proceedings of the ACM on Management of Data. 3:1-27

On The Soundness of a Language for Large and Distributed Graph Processing

Autori: Alpha Mouhamadou Diop Cheikh BA

Zdroj: 2024 IEEE 18th International Conference on Application of Information and Communication Technologies (AICT). :1-6

Grade10: A Framework for Performance Characterization of Distributed Graph Processing: A Framework for Performance Characterization of Distributed Graph Processing

Autori: Tim Hegeman Animesh Trivedi Alexandru Iosup

Zdroj: 2020 IEEE International Conference on Cluster Computing (CLUSTER). :57-68

Predmety: Distributed graph processing, Performance analysis, High performance computing, SDG 7 - Affordable and Clean Energy, Performance Engineering

Prístupová URL adresa: https://hdl.handle.net/1871.1/2218887e-1e95-41a7-80b0-d5e94d88b0fa
https://research.vu.nl/en/publications/2218887e-1e95-41a7-80b0-d5e94d88b0fa
https://doi.org/10.1109/CLUSTER49012.2020.00016
https://dblp.uni-trier.de/db/conf/cluster/cluster2020.html#HegemanTI20
https://research.vu.nl/en/publications/grade10-a-framework-for-performance-characterization-of-distribut

RAGraph: A Region-Aware Framework for Geo-Distributed Graph Processing

Autori: Feng Yao Qian Tao Wenyuan Yu a ďalší

Zdroj: Proceedings of the VLDB Endowment. 17:264-277

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Partitioner Selection with EASE to Optimize Distributed Graph Processing

Autori: Merkel, Nikolai Mayer, Ruben Fakir, Tawkir Ahmed a ďalší

Zdroj: 2023 IEEE 39th International Conference on Data Engineering (ICDE). :2400-2414

Predmety: FOS: Computer and information sciences, Computer Science - Distributed, Parallel, and Cluster Computing, Distributed, Parallel, and Cluster Computing (cs.DC)

Prístupová URL adresa: http://arxiv.org/abs/2304.04976

Partitioning-Aware Performance Modeling of Distributed Graph Processing Tasks

Autori: Daniel Presser Frank Siqueira

Zdroj: International Journal of Parallel Programming. 51:231-255

Flash: A Framework for Programming Distributed Graph Processing Algorithms

Autori: Xue Li Ke Meng Lu Qin a ďalší

Zdroj: 2023 IEEE 39th International Conference on Data Engineering (ICDE). :232-244

Distributed Graph Processing in Cloud Computing: A Review of Large-Scale Graph Analytics

Autori: Diler Atrushi Subhi R. M. Zeebaree

Zdroj: Indonesian Journal of Computer Science. 13

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

An unsupervised learning-guided multi-node failure-recovery model for distributed graph processing systems

Autori: Aradhita Mukherjee Rituparna Chaki Nabendu Chaki

Zdroj: The Journal of Supercomputing. 79:9383-9408

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Leveraging synthetic graph generation for privacy-preserving geo-distributed graph processing

Autori: Zhang, Haoying Allard, Tristan Eichler, Cédric a ďalší

Prispievatelia: Zhang, Haoying Allard, Tristan Eichler, Cédric a ďalší

Predmety: [INFO.INFO-CR] Computer Science [cs]/Cryptography and Security [cs.CR]

Prístupová URL adresa: https://hal.science/hal-04908658v1

Estimating the Impact of Communication Schemes for Distributed Graph Processing

Autori: Tian Ye Sanmukh R. Kuppannagari Cesar A. F. De Rose a ďalší

Zdroj: 2022 21st International Symposium on Parallel and Distributed Computing (ISPDC). :49-56

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

High-Level Programming Abstractions for Distributed Graph Processing

Autori: Kalavri, Vasiliki Vlassov, Vladimir Haridi, Seif

Zdroj: IEEE Transactions on Knowledge and Data Engineering. 30(2):305-324

Predmety: Distributed graph processing, large-scale graph analysis, big data

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-221918

Flexible application-aware approximation for modern distributed graph processing frameworks

Autori: Michael Schramm Sukanya Bhowmik Kurt Rothermel

Zdroj: Proceedings of the 5th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA). :1-10

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

GX-Plug: a Middleware for Plugging Accelerators to Distributed Graph Processing

Autori: Zou, Kai Xie, Xike Li, Qi a ďalší

Zdroj: 2022 IEEE 38th International Conference on Data Engineering (ICDE). :2682-2694

Predmety: FOS: Computer and information sciences, Computer Science - Distributed, Parallel, and Cluster Computing, 0202 electrical engineering, electronic engineering, information engineering, Distributed, Parallel, and Cluster Computing (cs.DC), 02 engineering and technology

Prístupová URL adresa: http://arxiv.org/abs/2203.13005

UniGPS: A Unified Programming Framework for Distributed Graph Processing

Autori: Wang, Zhaokang Li, Junhong Qi, Yifan a ďalší

Zdroj: 2021 IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS). :114-121

Predmety: FOS: Computer and information sciences, Computer Science - Distributed, Parallel, and Cluster Computing, 0202 electrical engineering, electronic engineering, information engineering, Distributed, Parallel, and Cluster Computing (cs.DC), 02 engineering and technology

Prístupová URL adresa: http://arxiv.org/abs/2108.01922

MEMORY-TRACKING RESOURCE MANAGER FOR ELASTIC DISTRIBUTED GRAPH-PROCESSING SYSTEM

OFFLOADING GRAPH COMPONENTS TO PERSISTENT STORAGE FOR REDUCING RESIDENT MEMORY IN DISTRIBUTED GRAPH PROCESSING

Offloading graph components to persistent storage for reducing resident memory in distributed graph processing

How Far Have We Come in Fault Tolerance for Distributed Graph Processing: A Quantitative Assessment of Fault Tolerance Effectiveness

Autori: Chengbo Zhang Ying Li Yong Yang a ďalší

Zdroj: 2021 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW). :427-432

ACF2: Accelerating Checkpoint-Free Failure Recovery for Distributed Graph Processing

Autori: Chen Xu Yi Yang Qingfeng Pan a ďalší

Zdroj: Lecture Notes in Computer Science ISBN: 9783031251573