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Graph clustering has many important applications in computing, but due to the increasing sizes of graphs, even traditionally fast clustering methods can be computationally expensive for real-world graphs of interest. Scalability problems…

Social and Information Networks · Computer Science 2018-10-18 Kimon Fountoulakis , David F. Gleich , Michael W. Mahoney

High Performance Computing (HPC) clouds are becoming an alternative to on-premise clusters for executing scientific applications and business analytics services. Most research efforts in HPC cloud aim to understand the cost-benefit of…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-02-05 Marco A. S. Netto , Rodrigo N. Calheiros , Eduardo R. Rodrigues , Renato L. F. Cunha , Rajkumar Buyya

Social computing encompasses the mechanisms through which people interact with computational systems: crowdsourcing systems, ranking and recommendation systems, online prediction markets, citizen science projects, and collaboratively edited…

Computers and Society · Computer Science 2020-07-08 Yiling Chen , Arpita Ghosh , Michael Kearns , Tim Roughgarden , Jennifer Wortman Vaughan

With the rapid development in wide area networks and low cost, powerful computational resources, grid computing has gained its popularity. With the advent of grid computing, space limitations of conventional distributed systems can be…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-09-15 Dushyant Vaghela

Geo-distributed computing, a paradigm that assigns computational tasks to globally distributed nodes, has emerged as a promising approach in cloud computing, edge computing, cloud-edge computing and supercomputer computing (HPC). It enables…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-01-28 Yujian Wu , Shanjiang Tang , Ce Yu , Bin Yang , Chao Sun , Jian Xiao , Hutong Wu

This lecture aims at providing a user's perspective on the main concepts used nowadays for the implementation of numerical algorithm on common computing architecture. In particular, the concepts and applications of Central Processing Units…

Accelerator Physics · Physics 2020-06-19 X. Buffat

A quantum computer is a hypothetical device in which the laws of quantum mechanics are used to introduce a degree of parallelism into computations and which could therefore significantly improve on the computational speed of a classical…

Quantum Physics · Physics 2007-05-23 P. Blythe , B. Varcoe

The domain of explainable AI is of interest in all Machine Learning fields, and it is all the more important in clustering, an unsupervised task whose result must be validated by a domain expert. We aim at finding a clustering that has high…

Artificial Intelligence · Computer Science 2024-03-28 Mathieu Guilbert , Christel Vrain , Thi-Bich-Hanh Dao

Clustering is a common technique for statistical data analysis, which is used in many fields, including machine learning, data mining, pattern recognition, image analysis and bioinformatics. Clustering is the process of grouping similar…

Data Structures and Algorithms · Computer Science 2012-05-08 T. Soni Madhulatha

Cloud computing (CC) is a centralized computing paradigm that accumulates resources centrally and provides these resources to users through Internet. Although CC holds a large number of resources, it may not be acceptable by real-time…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-07-29 Muhammad Asim , Yong Wang , Kezhi Wang , Pei-Qiu Huang

Cloud Computing is rising fast, with its data centres growing at an unprecedented rate. However, this has come with concerns over privacy, efficiency at the expense of resilience, and environmental sustainability, because of the dependence…

Networking and Internet Architecture · Computer Science 2015-05-13 Alexandros Marinos , Gerard Briscoe

This book on Distributed Computing aims to benefit a diverse audience, ranging from aspiring engineers, and seasoned researchers, to a wide range of professionals. Driven by my passion for making the core concepts of distributed computing…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-11-27 Kenneth Odoh

Grid computing is a distributed computing paradigm which aims to aggregate several heterogeneous and distributed resources, belonging to different and independent organizations, in a dynamic, transparent and coordinated way. Since its…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-12-27 Cosimo Anglano , Massimo Canonico , Marco Guazzone

The rising popularity of computational workflows is driven by the need for repetitive and scalable data processing, sharing of processing know-how, and transparent methods. As both combined records of analysis and descriptions of processing…

Understanding the process by which the individuals of a society make up their minds and reach opinions about different issues can be of fundamental importance. In this work we propose an idealized model for competitive cluster growth in…

Disordered Systems and Neural Networks · Physics 2009-11-11 Andre A. Moreira , Demetrius R. Paula , Raimundo N. Costa Filho , Jose S. Andrade

Analyzing large datasets with distributed dataflow systems requires the use of clusters. Public cloud providers offer a large variety and quantity of resources that can be used for such clusters. However, picking the appropriate resources…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-04-28 Jonathan Will , Jonathan Bader , Lauritz Thamsen

Note: A revised version of this is now published. Please cite and read (it's open access): Van Mechelen, I., Boulesteix, A.-L., Dangl, R., Dean, N., Hennig, C., Leisch, F., Steinley, D., Warrens, M. J. (2023). A white paper on good research…

Today cloud computing has become as a new concept for hosting and delivering different services over the Internet for big data solutions. Cloud computing is attractive to different business owners of both small and enterprise as it…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-08-06 Mehdi Bahrami

This paper contains the most important aspects of computing grids. Grid computing allows high performance distributed systems to act as a single computer. An overview of grids structure and techniques is given in order to understand the way…

Distributed, Parallel, and Cluster Computing · Computer Science 2009-03-05 Delia Sabina Stinga

Quantum computers, if fully realized, promise to be a revolutionary technology. As a result, quantum computing has become one of the hottest areas of research in the last few years. Much effort is being applied at all levels of the system…

Quantum Physics · Physics 2019-10-30 Salonik Resch , Ulya R. Karpuzcu