Výsledky vyhledávání - scalability in graph processing

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  1. 1

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

    Vydáno: IEEE 17.11.2024
    “…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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    Konferenční příspěvek
  2. 2

    Query processing on large graphs: Approaches to scalability and response time trade offs Autor Das, Soumyava, Santra, Abhishek, Bodra, Jay, Chakravarthy, Sharma

    ISSN: 0169-023X, 1872-6933
    Vydáno: Elsevier B.V 01.03.2020
    Vydáno v Data & knowledge engineering (01.03.2020)
    “…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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    Journal Article
  3. 3

    On the Scalability and Efficiency of Graph Processing Systems Autor Yin, Xizhe

    ISBN: 9798383420669
    Vydáno: ProQuest Dissertations & Theses 01.01.2024
    “…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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    Dissertation
  4. 4

    Online Graph-Adaptive Learning With Scalability and Privacy Autor Shen, Yanning, Leus, Geert, Giannakis, Georgios B.

    ISSN: 1053-587X, 1941-0476
    Vydáno: New York IEEE 01.05.2019
    “…Graphs are widely adopted for modeling complex systems, including financial, biological, and social networks…”
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    Journal Article
  5. 5

    Reducing scope to increase scalability: Decentralization in graph processing and UAV swarms Autor McCune, R Ryan

    ISBN: 1339979500, 9781339979502
    Vydáno: ProQuest Dissertations & Theses 01.01.2016
    “…). In such systems, the existence of the central controller presents a bottleneck that limits system scalability…”
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    Dissertation
  6. 6

    Graph Signal Processing: Structure and Scalability to Massive Data Sets Autor Deri, Joya A

    ISBN: 1369434685, 9781369434682
    Vydáno: ProQuest Dissertations & Theses 01.01.2016
    “… 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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    Dissertation
  7. 7

    Benchmarking and Comparison of the Task Graph Scheduling Algorithms Autor Kwok, Yu-Kwong, Ahmad, Ishfaq

    ISSN: 0743-7315, 1096-0848
    Vydáno: San Diego, CA Elsevier Inc 01.12.1999
    “…The problem of scheduling a parallel program represented by a weighted directed acyclic graph (DAG…”
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    Journal Article
  8. 8

    Ensemble Gaussian Processes for Online Learning Over Graphs With Adaptivity and Scalability Autor Polyzos, Konstantinos D., Lu, Qin, Giannakis, Georgios B.

    ISSN: 1053-587X, 1941-0476
    Vydáno: New York IEEE 2022
    “…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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    Journal Article
  9. 9

    Scalable SIMD-Efficient Graph Processing on GPUs Autor Khorasani, Farzad, Gupta, Rajiv, Bhuyan, Laxmi N.

    ISSN: 1089-795X
    Vydáno: IEEE 01.10.2015
    “… In this paper we develop techniques that greatly enhance the performance and scalability of vertex-centric graph processing on GPUs…”
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  10. 10

    Self-adaptive processing graph with operator fission for elastic stream processing Autor Hidalgo, Nicolas, Wladdimiro, Daniel, Rosas, Erika

    ISSN: 0164-1212, 1873-1228
    Vydáno: Elsevier Inc 01.05.2017
    Vydáno v The Journal of systems and software (01.05.2017)
    “… Specially designed distributed processing engines build a graph-based…”
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    Journal Article
  11. 11

    GX-Plug: a Middleware for Plugging Accelerators to Distributed Graph Processing Autor Zou, Kai, Xie, Xike, Li, Qi, Kong, Deyu

    ISSN: 2375-026X
    Vydáno: IEEE 01.05.2022
    Vydáno v Data engineering (01.05.2022)
    “…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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  12. 12

    GRAPH/Z: A Key-Value Store Based Scalable Graph Processing System Autor Tonglin Li, Chaoqi Ma, Jiabao Li, Xiaobing Zhou, Ke Wang, Dongfang Zhao, Sadooghi, Iman, Raicu, Ioan

    ISSN: 1552-5244
    Vydáno: IEEE 01.09.2015
    “…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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  13. 13

    Scalable robust graph and feature extraction for arbitrary vessel networks in large volumetric datasets Autor Drees, Dominik, Scherzinger, Aaron, Hägerling, René, Kiefer, Friedemann, Jiang, Xiaoyi

    ISSN: 1471-2105, 1471-2105
    Vydáno: London BioMed Central 26.06.2021
    Vydáno v BMC bioinformatics (26.06.2021)
    “… huge challenges regarding scalability for automated analysis algorithms due to rapidly increasing dataset sizes…”
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    Journal Article
  14. 14

    UniWalk: Unidirectional Random Walk Based Scalable SimRank Computation over Large Graph Autor Song, Junshuai, Luo, Xiongcai, Gao, Jun, Zhou, Chang, Wei, Hu, Yu, Jeffery Xu

    ISSN: 1041-4347, 1558-2191
    Vydáno: New York IEEE 01.05.2018
    “…SimRank is an important measure of vertex-pair similarity according to the structure of graphs…”
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    Journal Article
  15. 15

    Query Processing on Large Graphs: Approaches To Scalability and Response Time Trade Offs Autor Das, Soumyava, Santra, Abhishek, Bodra, Jay, Sharma Chakravarthy

    ISSN: 2331-8422
    Vydáno: Ithaca Cornell University Library, arXiv.org 14.05.2019
    Vydáno v arXiv.org (14.05.2019)
    “…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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    Paper
  16. 16

    ScalaGraph: A Scalable Accelerator for Massively Parallel Graph Processing Autor Yao, Pengcheng, Zheng, Long, Huang, Yu, Wang, Qinggang, Gui, Chuangyi, Zeng, Zhen, Liao, Xiaofei, Jin, Hai, Xue, Jingling

    ISSN: 2378-203X
    Vydáno: IEEE 01.04.2022
    “…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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  17. 17

    Access pattern-based high-performance main memory system for graph processing on single machines Autor Yun, Ji-Tae, Yoon, Su-Kyung, Kim, Jeong-Geun, Kim, Shin-Dug

    ISSN: 0167-739X
    Vydáno: Elsevier B.V 01.07.2020
    Vydáno v Future generation computer systems (01.07.2020)
    “… 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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    Journal Article
  18. 18

    DGSD: Distributed graph representation via graph statistical properties Autor Said, Anwar, Hassan, Saeed-Ul, Tuarob, Suppawong, Nawaz, Raheel, Shabbir, Mudassir

    ISSN: 0167-739X, 1872-7115
    Vydáno: Elsevier B.V 01.06.2021
    Vydáno v Future generation computer systems (01.06.2021)
    “…Graph encoding methods have been proven exceptionally useful in many classification tasks…”
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    Journal Article
  19. 19

    Graph Analytics on Hybrid System (GAHS) Case Study: PageRank Autor Hassan, Mohamed W., Athanas, Peter M.

    Vydáno: IEEE 01.06.2021
    “… 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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  20. 20

    GCache: Neighborhood-Guided Graph Caching in a Distributed Environment Autor Yuan, Ye, Lian, Xiang, Chen, Lei, Wang, Guoren, Yu, Jeffrey Xu, Wang, Yishu, Ma, Yuliang

    ISSN: 1045-9219, 1558-2183
    Vydáno: New York IEEE 01.11.2019
    “…Distributed graph systems are becoming extremely popular due to their flexibility, scalability, and robustness in big graph processing…”
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    Journal Article