Search Results - "Distributed Graph Processing"

High-Level Programming Abstractions for Distributed Graph Processing by Kalavri, Vasiliki, Vlassov, Vladimir, Haridi, Seif

“…, graph aggregations, pattern matching, ego-network analysis, and graph traversals. Several high-level programming abstractions have been proposed and adopted by distributed graph processing systems and big data platforms…”
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Realizing Memory-Optimized Distributed Graph Processing by Liakos, Panagiotis, Papakonstantinopoulou, Katia, Delis, Alex

“… This trend shows no signs of subsiding and has caused the emergence of a number of distributed graph processing systems including Pregel, Apache Giraph, and GraphX…”
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Fast Failure Recovery in Vertex-Centric Distributed Graph Processing Systems by Lu, Wei, Shen, Yanyan, Wang, Tongtong, Zhang, Meihui, Jagadish, H. V., Du, Xiaoyong

“…There is a growing need for distributed graph processing systems to have many more compute nodes processing graph-based Big Data applications, which, however, increases the chance of node failures…”
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Partitioning-Aware Performance Modeling of Distributed Graph Processing Tasks by Presser, Daniel, Siqueira, Frank

“… In order to extract valuable information from these large datasets, several parallel and distributed graph processing engines have been proposed…”
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Partitioner Selection with EASE to Optimize Distributed Graph Processing by Merkel, Nikolai, Mayer, Ruben, Fakir, Tawkir Ahmed, Jacobsen, Hans-Arno

“…For distributed graph processing on massive graphs, a graph is partitioned into multiple equally-sized parts which are distributed among machines in a compute cluster…”
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Flash: A Framework for Programming Distributed Graph Processing Algorithms by Li, Xue, Meng, Ke, Qin, Lu, Lai, Longbin, Yu, Wenyuan, Qian, Zhengping, Lin, Xuemin, Zhou, Jingren

“… frameworks.In this paper, we propose Flash, a framework for programming distributed graph processing algorithms, which achieves good expressiveness, productivity and efficiency at the same time…”
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An unsupervised learning-guided multi-node failure-recovery model for distributed graph processing systems by Mukherjee, Aradhita, Chaki, Rituparna, Chaki, Nabendu

“…Big data applications based on graphs need to be scalable enough for handling immense growth in size of graphs, efficiently. Scalable graph processing…”
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Profiling distributed graph processing systems through visual analytics by Arleo, Alessio, Didimo, Walter, Liotta, Giuseppe, Montecchiani, Fabrizio

“… This paper presents GiViP, a visual profiler for distributed graph processing systems based on a Pregel-like computation model…”
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Graph Partitioning for Distributed Graph Processing by Onizuka, Makoto, Fujimori, Toshimasa, Shiokawa, Hiroaki

“…There is a large demand for distributed engines that efficiently process large-scale graph data, such as social graph and web graph. The distributed graph…”
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UniGPS: A Unified Programming Framework for Distributed Graph Processing by Wang, Zhaokang, Li, Junhong, Qi, Yifan, Zhu, Guanghui, Yuan, Chunfeng, Huang, Yihua

“…The industry and academia have proposed many distributed graph processing systems…”
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Distributed Graph Processing in Cloud Computing: A Review of Large-Scale Graph Analytics by Atrushi, Diler, Zeebaree, Subhi R. M.

“…The rapid growth of graph data in various domains has propelled the need for efficient distributed graph processing techniques in cloud computing environments…”
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Grade10: A Framework for Performance Characterization of Distributed Graph Processing by Hegeman, Tim, Trivedi, Animesh, Iosup, Alexandru

“… To process large graph datasets with diverse algorithms, tens of distributed graph processing frameworks emerged…”
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TACC: Topology-Aware Coded Computing for Distributed Graph Processing by Guler, Basak, Avestimehr, A. Salman, Ortega, Antonio

“…This article proposes a coded distributed graph processing framework to alleviate the communication bottleneck in large-scale distributed graph processing…”
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GX-Plug: a Middleware for Plugging Accelerators to Distributed Graph Processing by Zou, Kai, Xie, Xike, Li, Qi, Kong, Deyu

“…Recently, research communities highlight the neces-sity of formulating a scalability continuum for large-scale graph processing, which gains the scale-out…”
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Tuning the granularity of parallelism for distributed graph processing by Luo, Xinyuan, Wu, Sai, Wang, Wei, Shou, Lidan

“…Popular distributed graph processing frameworks, such as Pregel and GraphLab, are based on the vertex-centric computation model, where users write their customized Compute function for each vertex…”
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A Topology-aware Coding Framework for Distributed Graph Processing by Guler, Bagak, Avestimehr, A. Salman, Ortega, Antonio

“…This paper proposes a coded distributed graph processing framework to alleviate the communication bottleneck in large-scale distributed graph processing…”
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PGX.D: a fast distributed graph processing engine by Hong, Sungpack, Depner, Siegfried, Manhardt, Thomas, Van Der Lugt, Jan, Verstraaten, Merijn, Chafi, Hassan

“… provided with enough memory. In this paper, we present a fast distributed graph processing system, namely PGX.D. We show…”
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Federated Learning Over Coupled Graphs by Lei, Runze, Wang, Pinghui, Zhao, Junzhou, Lan, Lin, Tao, Jing, Deng, Chao, Feng, Junlan, Wang, Xidian, Guan, Xiaohong

“…Graphs are widely used to represent the relations among entities. When one owns the complete data, an entire graph can be easily built, therefore performing…”
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Distributed graph pattern matching via bounded dual simulation by Bouhenni, Sarra, Yahiaoui, Saïd, Nouali-Taboudjemat, Nadia, Kheddouci, Hamamache

“…Graph Pattern Matching (GPM) finds subgraphs of a large data graph that are similar to an input query graph. It has many applications, such as pattern…”
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Improving Distributed Graph Processing by Load Balancing and Redundancy Reduction by Song, Shuang

“… To accommodate analysis on large-scale graphs, developers from industry and academia design the distributed graph processing…”
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