Search Results - scalability in graph processing

Batch Updates of Distributed Streaming Graphs using Linear Algebra by Hassani, Elaheh, Hussain, Md Taufique, Azad, Ariful

“…We develop a distributed-memory parallel algorithm for performing batch updates on streaming graphs, where vertices and edges are continuously added or removed…”
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Query processing on large graphs: Approaches to scalability and response time trade offs by Das, Soumyava, Santra, Abhishek, Bodra, Jay, Chakravarthy, Sharma

“…Graphs, being an expressive data structure, have become increasingly important for modeling real-world applications, such as collaboration, different kinds of transactions, social networks, to name a few…”
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On the Scalability and Efficiency of Graph Processing Systems by Yin, Xizhe

“…Developing scalable and efficient graph systems to support low-latency streaming analysis and high-throughput concurrent query evaluation poses significant challenges…”
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Online Graph-Adaptive Learning With Scalability and Privacy by Shen, Yanning, Leus, Geert, Giannakis, Georgios B.

“…Graphs are widely adopted for modeling complex systems, including financial, biological, and social networks…”
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Reducing scope to increase scalability: Decentralization in graph processing and UAV swarms by McCune, R Ryan

“…). In such systems, the existence of the central controller presents a bottleneck that limits system scalability…”
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Benchmarking and Comparison of the Task Graph Scheduling Algorithms by Kwok, Yu-Kwong, Ahmad, Ishfaq

“…The problem of scheduling a parallel program represented by a weighted directed acyclic graph (DAG…”
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Graph Signal Processing: Structure and Scalability to Massive Data Sets by Deri, Joya A

“… State-of-the-art approaches such as principal component analysis and graph signal processing address this problem using signal projections onto a space determined by an eigendecomposition or singular…”
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Ensemble Gaussian Processes for Online Learning Over Graphs With Adaptivity and Scalability by Polyzos, Konstantinos D., Lu, Qin, Giannakis, Georgios B.

“…In the past decade, semi-supervised learning (SSL) over graphs has gained popularity due to its importance in a gamut of network science applications…”
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Scalable SIMD-Efficient Graph Processing on GPUs by Khorasani, Farzad, Gupta, Rajiv, Bhuyan, Laxmi N.

“… In this paper we develop techniques that greatly enhance the performance and scalability of vertex-centric graph processing on GPUs…”
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Self-adaptive processing graph with operator fission for elastic stream processing by Hidalgo, Nicolas, Wladdimiro, Daniel, Rosas, Erika

“… Specially designed distributed processing engines build a graph-based…”
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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 benefits from distributed graph systems…”
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Scalable robust graph and feature extraction for arbitrary vessel networks in large volumetric datasets by Drees, Dominik, Scherzinger, Aaron, Hägerling, René, Kiefer, Friedemann, Jiang, Xiaoyi

“… huge challenges regarding scalability for automated analysis algorithms due to rapidly increasing dataset sizes…”
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GRAPH/Z: A Key-Value Store Based Scalable Graph Processing System by Tonglin Li, Chaoqi Ma, Jiabao Li, Xiaobing Zhou, Ke Wang, Dongfang Zhao, Sadooghi, Iman, Raicu, Ioan

“…s. The state-of-the-art graph processing systems and databases usually adopt master/slave architecture that potentially impairs their The contributions of this paper are as follows: scalability…”
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UniWalk: Unidirectional Random Walk Based Scalable SimRank Computation over Large Graph by Song, Junshuai, Luo, Xiongcai, Gao, Jun, Zhou, Chang, Wei, Hu, Yu, Jeffery Xu

“…SimRank is an important measure of vertex-pair similarity according to the structure of graphs…”
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Query Processing on Large Graphs: Approaches To Scalability and Response Time Trade Offs by Das, Soumyava, Santra, Abhishek, Bodra, Jay, Sharma Chakravarthy

“…With the advent of social networks and the web, the graph sizes have grown too large to fit in main memory precipitating the need for alternative approaches for an efficient, scalable evaluation…”
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ScalaGraph: A Scalable Accelerator for Massively Parallel Graph Processing by Yao, Pengcheng, Zheng, Long, Huang, Yu, Wang, Qinggang, Gui, Chuangyi, Zeng, Zhen, Liao, Xiaofei, Jin, Hai, Xue, Jingling

“…Graph processing is promising to extract valuable insights in graphs. Nowadays, emerging 3D-stacked memories and silicon technologies can provide over terabytes per second memory bandwidth and thousands of processing elements (PEs…”
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Access pattern-based high-performance main memory system for graph processing on single machines by Yun, Ji-Tae, Yoon, Su-Kyung, Kim, Jeong-Geun, Kim, Shin-Dug

“… In this paper, we present a high-capacity main memory system with an intelligent pattern-aware prefetching engine to overcome the scalability problem and the memory inefficiency of single-machine graph processing…”
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DGSD: Distributed graph representation via graph statistical properties by Said, Anwar, Hassan, Saeed-Ul, Tuarob, Suppawong, Nawaz, Raheel, Shabbir, Mudassir

“…Graph encoding methods have been proven exceptionally useful in many classification tasks…”
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Graph Analytics on Hybrid System (GAHS) Case Study: PageRank by Hassan, Mohamed W., Athanas, Peter M.

“… In many instances, the processing requirements of a given analytics computation are heavily data-dependent and rely heavily on the characteristics of the graph instance, which, if known…”
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GCache: Neighborhood-Guided Graph Caching in a Distributed Environment by Yuan, Ye, Lian, Xiang, Chen, Lei, Wang, Guoren, Yu, Jeffrey Xu, Wang, Yishu, Ma, Yuliang

“…Distributed graph systems are becoming extremely popular due to their flexibility, scalability, and robustness in big graph processing…”
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