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Engineering Parallel Algorithms for Community Detection in Massive Networks
2016
IEEE Transactions on Parallel and Distributed Systems
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We address the deficit in computing capability by a flexible and extensible community detection framework with shared-memory parallelism. ...
In extensive experiments driven by the algorithm engineering paradigm, we identify the most successful parameters and combinations of these algorithms. ...
We recommend both PLM and PLMR as the default algorithms for parallel community detection in large networks. ...
doi:10.1109/tpds.2015.2390633
fatcat:b24piu4j2fc7bk4hknq4wo4lny
A Review on the Application of Artificial Neural Networks on Communication Systems
2018
Zenodo
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These networks provide many applications in the areas like Electrical engineering, Electronics engineering, Telecommunications, Computer science engineering etc. ...
Artificial neural networks nowadays playing an important role in providing solutions to many complex computational problems. ...
This paper was just restricted to present few applications of ANNs in the area of communications and the ANNs can be massively used in every areas of engineering as it these networks provide a basic methodology ...
doi:10.5281/zenodo.2222300
fatcat:nf5gbgo2dzbipoexsnql4rvnii
A Primer on MIMO Detection Algorithms for 5G Communication Network
2018
International Journal on Communications Antenna and Propagation
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A comprehensive review of such detection algorithms for massive MIMO was not presented in the literature which was achieved in this work. ...
We therefore review various MIMO detection algorithms aiming for low computational complexity with high performance and that scales well with increase in transmit antennas suitable for massive MIMO systems ...
Acknowledgements We acknowledge and give thanks to Covenant University for the funding of this research work.
References ...
doi:10.15866/irecap.v8i3.13731
fatcat:mavlbwti2jaqnlbskqcnymxr2y
NetworKit: A Tool Suite for Large-scale Complex Network Analysis
[article]
2015
arXiv
pre-print
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Our goal for the software is to package results of our algorithm engineering efforts and put them into the hands of domain experts. ...
We describe the methodology applied to develop scalable solutions to network analysis problems, including techniques like parallelization, heuristics for computationally expensive problems, efficient data ...
This work was partially supported by the project Parallel Analysis of Dynamic Networks -Algorithm Engineering of Efficient Combinatorial and Numerical Methods, which is funded by the Ministry of Science ...
arXiv:1403.3005v3
fatcat:5kg5gfcm4jgj3mpghtl3cssoda
Editorial: Towards Exascale Solutions for Big Data Computing
2022
Frontiers in Big Data
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. • Methods, techniques, and prototypes designed and used to implement Big Data solutions on massive HPC and exascale systems. • Massively parallel algorithms and applications for machine learning solutions ...
In the paper titled "HPTMT Parallel Operators for High-Performance Data Science & Data Engineering," Fox et al. introduce and illustrate the HPTMT architecture that has been developed for creating rich ...
AUTHOR CONTRIBUTIONS All authors listed have made a substantial, direct, and intellectual contribution to the work and approved it for publication. ...
doi:10.3389/fdata.2022.838097
pmid:35224485
pmcid:PMC8874246
fatcat:o6tkz65vlzf55dwpeywejliug4
Platform Dependent Verification: On Engineering Verification Tools for 21st Century
2011
Electronic Proceedings in Theoretical Computer Science
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The paper overviews recent developments in platform-dependent explicit-state LTL model checking. ...
The reason was simple: the lack of parallel algorithms for accepting cycle detection in distributed-memory setting. ...
Message aggregation and buffering are the standard techniques in parallel computing to alleviate the burden of network communication overhead. ...
doi:10.4204/eptcs.72.1
fatcat:d6qzv6x6pbfmbnur472wf3lvwe
NetworKit: A tool suite for large-scale complex network analysis
2016
Network Science
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Our goal for the software is to package results of our algorithm engineering efforts and put them into the hands of domain experts. ...
We describe the methodology applied to develop scalable solutions to network analysis problems, including techniques like parallelization, heuristics for computationally expensive problems, efficient data ...
Acknowledgments This work was partially supported by the project Parallel Analysis of Dynamic Networks-Algorithm Engineering of Efficient Combinatorial and Numerical Methods, which is funded by the Ministry ...
doi:10.1017/nws.2016.20
fatcat:46nozmdun5b3pd4p3ruf74lveq
A Survey of Data Mining Activities in Distributed Systems
2021
Asian Journal of Research in Computer Science
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Managing massive amounts of data and processing them with limited resources is difficult. Large volumes of data, for instance, are swiftly generated and stored in many locations. ...
Data mining, which has a huge range of real applications, provides significant techniques for extracting meaningful and usable information from massive amounts of data. ...
It is a fast algorithm for creating non-convex borders. Distributed clustering and dynamic parallel analyze data in a parallel distributed manner while reducing node communications. ...
doi:10.9734/ajrcos/2021/v11i430267
fatcat:t4wcvxu2czd45imagjenzsvcqi
Special issue on big data networking-challenges and applications
2020
Web Intelligence: an international journal
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In addition, big dataset cannot be stored in one location, and massively parallel processing databases and scalable storage systems are being designed to store the large datasets. ...
In order to make use of this massive amount of data, the new data management and computational approaches are needed to permit scientists and engineers to analyze the data in (nearly) real time. ...
Acknowledgements The Guest Editors would like to express their appreciation to the authors for their high-quality and innovative work. Special thanks to the Editors-in-chief, Yuefeng Li and Vijay V. ...
doi:10.3233/web-200431
fatcat:bgz3orjxj5gc7ix5ncqyqkjl7y
GraphBreak: Tool for Network Community based Regulatory Medicine, Gene co-expression, Linkage Disequilibrium analysis, functional annotation and more
[article]
2021
arXiv
pre-print
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Graph-Break showed critical use case value in its downstream analysis for disease association of communities detected. ...
If all independent steps of community detection and analysis are a step-by-step sub-part of the algorithm, GraphBreak can be considered a new algorithm for community based functional characterization. ...
Acknowledgement The author acknowledges the makers of CONDOR as inspiration to develop and deploy graph network-based algorithms for biological purposes. ...
arXiv:2103.06145v1
fatcat:sd52dd2vrzhptodb6hf4zijubq
Parallel Detrended Fluctuation Analysis for Fast Event Detection on Massive PMU Data
2015
IEEE Transactions on Smart Grid
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This paper presents PDFA, a parallel detrended fluctuation analysis approach for fast event detection on massive volumes of PMU data, taking advantage of a cluster computing platform. ...
Fast algorithms capable of processing massive volumes of data are now required in the field of power systems. ...
In this paper the design and implementation of a parallel detrended fluctuation analysis (PDFA) algorithm, for fast event detection on massive volumes of PMU data, is presented. ...
doi:10.1109/tsg.2014.2340446
fatcat:67dvv63favgnhiviyggg5vwdfe
High-Performance Graph Algorithms (Dagstuhl Seminar 18241)
2018
Dagstuhl Reports
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The abstracts included in this report contain and survey recent state-of-the-art results, but also point to promising new directions for high-performance graph algorithms and their applications, both from ...
This change is having a tremendous impact on the field of graph algorithms in terms of algorithm theory and implementation as well as hardware requirements and application areas. ...
Massively parallel communication-free graph generators We present efficient distributed algorithms for generating massive graphs for several popular models of random graphs. ...
doi:10.4230/dagrep.8.6.19
dblp:journals/dagstuhl-reports/MeyerhenkePS18
fatcat:nbodjldinjgq7eahxl6obpaqie
Algorithm Engineering (Dagstuhl Seminar 13391)
2014
Dagstuhl Reports
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Prominent success stories in algorithm engineering include the linear program solver CPLEX, the traveling salesman suite CONCORDE, speed-up techniques for shortest paths computation, for example, in route ...
All these topics are driven by the need for efficient algorithms and libraries for problems that appear frequently in real-world applications. ...
In the context of the Smart Grid, network overlays can play a key role, for enabling the management of resources in an adaptive fashion. ...
doi:10.4230/dagrep.3.9.169
dblp:journals/dagstuhl-reports/GoldbergIJW13
fatcat:n75s6d7obngxbitr4rcxxadmxq
Problem Domains in Complex Networks
2016
IOSR Journal of Computer Engineering
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In this paper most important research domains related to complex networks are reviewed such as Community detection, Influence Maximization, network sampling etc. ...
This paper will help in selecting the research problem in field of complex networks for the researchers who are new to this field. ...
This difference in properties as led to the unsolved question: which algorithm is suitable for which type of network? Moreover, these algorithms do not detect the same communities. ...
doi:10.9790/0661-1805026568
fatcat:nxcrszgskjbkfmgzel4ml5a4sq
Cloud Service Community Detection for Real World Service Networks Based on Parallel Graph Computing
2019
IEEE Access
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INDEX TERMS Heterogeneous information networks, cluster, parallel computing, service mashup, community detection. ...
In order to generate desired clustering, we propose a parallel clustering method for the heterogeneous information net-works on an efficient graph computation system (Spark). ...
[20] presented a community-detection solution for massive-scale social networks using MapReduce. ...
doi:10.1109/access.2019.2910804
fatcat:4itx266235bavpmirqg55ipigi
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