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Engineering Parallel Algorithms for Community Detection in Massive Networks

Christian L. Staudt, Henning Meyerhenke
2016 IEEE Transactions on Parallel and Distributed Systems  
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

J. Vijaychandra, B. Sateesh Babu, B. Sesha Sai, P. Jagannadh
2018 Zenodo  
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

Olabode Babatunde Idowu-Bismark, Okokpujie Kennedy, Francis Idachaba, Aderemi A. Atayero
2018 International Journal on Communications Antenna and Propagation  
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]

Christian L. Staudt, Aleksejs Sazonovs, Henning Meyerhenke
2015 arXiv   pre-print
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

Domenico Talia, Paolo Trunfio, Jesus Carretero, Javier Garcia-Blas
2022 Frontiers in Big Data  
. • 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

Luboš Brim, Jiří Barnat
2011 Electronic Proceedings in Theoretical Computer Science  
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

CHRISTIAN L. STAUDT, ALEKSEJS SAZONOVS, HENNING MEYERHENKE
2016 Network Science  
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

Waleed A. Mohammad, Hajar Maseeh Yasin, Azar Abid Salih, Adel AL-Zebari, Naaman Omar, Karwan Jameel Merceedi, Abdulraheem Jamil Ahmed, Nareen O. M. Salim, Sheren Sadiq Hasan, Shakir Fattah Kak, Ibrahim Mahmood Ibrahim
2021 Asian Journal of Research in Computer Science  
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

Zhixiang Hou, Chong Shen
2020 Web Intelligence: an international journal  
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]

Abhishek Narain Singh
2021 arXiv   pre-print
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

Mukhtaj Khan, Phillip M. Ashton, Maozhen Li, Gareth A. Taylor, Ioana Pisica, Junyong Liu
2015 IEEE Transactions on Smart Grid  
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)

Henning Meyerhenke, Richard Peng, Ilya Safro, Michael Wagner
2018 Dagstuhl Reports  
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)

Andrew V. Goldberg, Giuseppe F. Italiano, David S. Johnson, Dorothea Wagner, Marc Herbstritt
2014 Dagstuhl Reports  
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

Mini Singh Ahuja
2016 IOSR Journal of Computer Engineering  
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

Yu Lei, Philip S. Yu
2019 IEEE Access  
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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