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[DECON'19] Call for papers
by DECON'19 International Conference 22 Dec '18

22 Dec '18

[DECON\'19] Call for papers ww.decision-economics.net info(a)decision-economics.net (info@info@decision-economics.net) International Conference on Decision Economics University of Salamanca Ávila (Spain) | 26th - 22th June, 2019 SCOPE Decision Economics is a growing field of research which has been given much attention by several scholars in recent decades. The International Conference on Decision Economics (DECON 2019) is a multidisciplinary international forum dedicated to advancing knowledge and improving instruction in economics, business, computer science, psychology, quantitative methods and related disciplines. To pursue this mission, DECON 2019 will facilitate the development and dissemination of knowledge in the diverse disciplines of the decision sciences in the tradition of Herbert A. Simon’s interdisciplinary heritage. Herbert A. Simon was - and still is - one of the most influential founding father of the multidisciplinary fields of decision sciences: his contributions range across administrative behaviour and organisation theory, management science and operation research, behavioural decision theory, cognitive psychology, and artificial intelligence. Therefore, DECON 2019 focuses on theoretical, empirical and methodological investigations of socio-economic decisions made by several economic agents in a complex market economy, not entirely according to standard “rational” economic principles, but also in light of behavioural and cognitive factors, and bounded rationality. Such investigations can be methodologically focused on quantitative approaches, qualitative methods, or can take the form of insightful reviews and commentaries on best practices in social science research. DECON 2019 dedicates itself to the interdisciplinary study of decision-making in the recognition that important decision-making takes place in a range of critical subject areas and research fields, including Economics, Finance, Information Systems, Psychology, Small and International Business, Management, Operations, and Production. We are particularly interested in analytics as an emerging synthesis of sophisticated methodology and large data systems used to guide economic decision-making in an increasingly complex business environment. TOPICS The recent negative economic and financial events, which have hit the world economies in the last decade, call for new and innovative studies mainly in economics, business and finance, involving different research fields such as Economics, Psychology, or strictly related social sciences, leading source for original research on the interplay of those fields within Artificial Intelligence. The organisers and chairs of DECON strongly believe that this is a moral duty, as well as a scientific duty, for a prudent and wise economist aware of the complexity of the real world in which he/she lives and works in the Third Millennium. Indeed, the combination of economics and decision sciences is a field of studies which proves to be useful and, thus, should be fostered to academicians and practitioners interested in the application of quantitative and behavioural methods to the problems of society. The special session focuses on interdisciplinary approaches to the study of economic analysis and policies within several major areas. Hence, papers are invited for the following areas of special interest which include but are not limited to: Experimental Research in Economics; Behavioural Game Theory; Cognitive Economics; Interrelations of Economics and Psychology with AI; Complexity of Behavioural Decision Processes; Microfoundations and Micro-Macro Relationships; Organisational Decision-Making; Computation and Computability in Economics; Decision Theory and the Economics of Uncertainty; Algorithmic Social Sciences Research; Decision Support Systems and Business Decisions; Business Intelligence Analytics and Decision-Making; Big Data, Data-Mining and Robotics; Managerial Decision-Making; Complex Business Environments; Information Technology and Operational Decision Sciences. COMMITTEE ORGANISING COMMITTEE Edgardo Bucciarelli University of Chieti-Pescara Italy Shu-Heng Chen National Chengchi University Taiwan Juan Manuel Corchado University of Salamanca Spain INVITED SPEAKERS V.S. Subrahmanian Dartmouth College (USA) Toshiharu Sugawara Waseda University (Japan) Marco Dorigo Free University of Brussels (Belgium) DOCTORAL CONSORTIUM The aim of the Doctoral Consortium is to provide a frame where students can present their on going research work and meet other students and researchers, and obtain feedback on future research directions. The Doctoral Consortium is intended for students who have a specific research proposal and some preliminary results, but who are still far from completing their dissertation. All proposals submitted to the Doctoral Consortium will undergo a thorough reviewing process with the aim to provide detailed and constructive feedback. The accepted submissions will be presented at the Doctoral Consortium and published in the conference proceedings. IMPORTANT DATES Submission date Notification date Camera-ready deadline Conference dates 4th February, 2019 11th March, 2019 29th March, 2019 26th-28th June, 2019 SUBMISSIONS Review process DECON welcomes the submission of application papers with preference to the topics listed in the call for papers. All submitted papers will undergo a thorough review process; each paper will be refereed by at least three experts in the field based on relevance, originality, significance, quality and clarity. The papers must consist of original, relevant and previously unpublished sound research results related to any of the topics of the conference Submitting papers All papers must be formatted according to the AISC template, with a maximum length of 8 pages (4 pages in Doctoral Consortium), including figures and references. All proposed papers must be submitted in electronic form (PDF format) using the DECONconference management system. Publication Accepted papers will be included in DECON Proceedings, published by Springer. At least one of the authors will be required to register and attend the symposium to present the paper in order to include the paper in the conference proceedings. All accepted papers will be published by Springer Verlag. SPECIAL ISSUES Authors of selected papers from DECON 2019 will be invited to submit an extended and improved version to special issue in diffetent journals. JCR 2017: 6.639 JCR 2017: 3.317 JCR 2017: 2.475 JCR 2017: 2.475 JCR 2016: 2.110 SJR 2017: 0.62, Q2 ww.decision-economics.net info(a)decision-economics.net (info(a)decision-economics.net) Unsubscribe: info(a)decision-economics.net (info(a)decision-economics.net)

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[Deadline Extension] Special Issue "The Second International Workshop on Parallel and Distributed Data Mining"
by Massimo CAFARO 22 Dec '18

22 Dec '18

Special Issue "The Second International Workshop on Parallel and Distributed Data Mining" A special issue of Algorithms (ISSN 1999-4893). Deadline for manuscript submissions: extended to January 30, 2019 http://www.mdpi.com/journal/algorithms/special_issues/Parallel_Distributed_… Special Issue Information Dear Colleagues, This Special Issue is devoted to the increasing interest in the design and implementation of parallel and distributed data mining algorithms. The Workshop on Parallel and Distributed Data Mining (WPDM 2018) is an international forum that brings together researchers and practitioners, working on different high-performance aspects of data mining algorithms, enabling novel applications. Indeed, datasets grow so rapidly that, every day, exabytes of data are being generated, and, in order to extract and infer useful knowledge, parallel processing techniques are required to cope with this huge volume of data: Traditional sequential software is not viable to cope with them. When the data are generated in different places (such as wireless sensor networks and/or Internet of things devices), they may be geographically spread out, and the data cannot be sent to a centralized site, thus, the need for distributed processing algorithms arises. Topics relevant to this Special Issue cover the scope of the WPDM 2018 Workshop (http://sara.unisalento.it/~cafaro/WPDM2018/) - Parallel data mining algorithms using MPI and/or OpenMP - Parallel data mining algorithms targeting GPUs and many-cores accelerators - Parallel data mining applications exploiting FPGA - Distributed data mining algorithms - Benchmarking and performance studies of high-performance data mining applications - Novel programming paradigms to support high-performance computing for data mining - Performance models for high-performance data mining applications and middleware - Programming models, tools, and environments for high-performance computing in data mining - Caching, streaming, pipelining, and other optimization techniques for data management in high-performance computing for data mining Extended versions of papers presented at WPDM 2018 are sought, but this call for papers is fully open to all those who wish to contribute by submitting a relevant research manuscript. Manuscript Submission Information Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Algorithms is an international peer-reviewed open access monthly journal published by MDPI. Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 850 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions. Special Issue Editors Guest Editor Assoc. Prof. Massimo Cafaro Department of Engineering for Innovation, Via per Monteroni, 73100 Lecce, Italy Euro-Mediterranean Centre on Climate Change, Foundation, Lecce, Italy Guest Editor Dr. Italo Epicoco Department of Engineering for Innovation, Via per Monteroni, 73100 Lecce, Italy Euro-Mediterranean Centre on Climate Change, Foundation, Lecce, Italy Guest Editor Dr. Marco Pulimeno Department of Engineering for Innovation, Via per Monteroni, 73100 Lecce, Italy Guest Editor Prof. Giovanni Aloisio Department of Engineering for Innovation, Via per Monteroni, 73100 Lecce, Italy Euro-Mediterranean Centre on Climate Change, Foundation, Lecce, Italy - ************************************************************************************ Massimo Cafaro, Ph.D. Associate Professor Dept. of Engineering for Innovation University of Salento, Lecce, Italy Via per Monteroni 73100 Lecce, Italy Voice/Fax +39 0832 297371 Web http://sara.unisalento.it/~cafaro E-mail massimo.cafaro(a)unisalento.it cafaro(a)ieee.org cafaro(a)acm.org CMCC Foundation Euro-Mediterranean Center on Climate Change Via Augusto Imperatore, 16 - 73100 Lecce massimo.cafaro(a)cmcc.it ************************************************************************************

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CfP for VHPC ‘19: HPC Virtualization Paper Registration due January 25, 2019 - 14th Virtualization in High-Performance Cloud Computing Workshop@ISC
by Michael Alexander 20 Dec '18

20 Dec '18

==================================================================== CALL FOR PAPERS 14th Workshop on Virtualization in High-Performance Cloud Computing (VHPC '19) held in conjunction with the International Supercomputing Conference - High Performance, June 16-20, 2019, Frankfurt, Germany. (Springer LNCS Proceedings) ==================================================================== Date: June 20, 2019 Workshop URL: http://vhpc.org Abstract Submission Deadline: January 25, 2019 Springer LNCS, rolling abstract submission Abstract/Paper Submission Link: https://edas.info/newPaper.php?c=25685 Call for Papers Containers and virtualization technologies constitute key enabling factors for flexible resource management in modern data centers, and particularly in cloud environments. Cloud providers need to manage complex infrastructures in a seamless fashion to support the highly dynamic and heterogeneous workloads and hosted applications customers deploy. Similarly, HPC environments have been increasingly adopting techniques that enable flexible management of vast computing and networking resources, close to marginal provisioning cost, which is unprecedented in the history of scientific and commercial computing. Various virtualization-containerization technologies contribute to the overall picture in different ways: machine virtualization, with its capability to enable consolidation of multiple underutilized servers with heterogeneous software and operating systems (OSes), and its capability to live-migrate a fully operating virtual machine (VM) with a very short downtime, enables novel and dynamic ways to manage physical servers; OS-level virtualization (i.e., containerization), with its capability to isolate multiple user-space environments and to allow for their coexistence within the same OS kernel, promises to provide many of the advantages of machine virtualization with high levels of responsiveness and performance; lastly, unikernels provide for many virtualization benefits with a minimized OS/library surface. I/O Virtualization in turn allows physical network interfaces to take traffic from multiple VMs or containers; network virtualization, with its capability to create logical network overlays that are independent of the underlying physical topology is furthermore enabling virtualization of HPC infrastructures. Publication Accepted papers will be published in a Springer LNCS proceedings volume. Topics of Interest The VHPC program committee solicits original, high-quality submissions related to virtualization across the entire software stack with a special focus on the intersection of HPC, containers-virtualization and the cloud. Major Topics: - HPC on Containers and VMs - Containerized applications with OS-level virtualization - Lightweight applications with Unikernels - HP-as-a-Service each major topic encompassing design/architecture, management, performance management, modeling and configuration/tooling: Design / Architecture: - Containers and OS-level virtualization (LXC, Docker, rkt, Singularity, Shifter, i.a.) - Hypervisor support for heterogeneous resources (GPUs, co-processors, FPGAs, etc.) - Hypervisor extensions to mitigate side-channel attacks ([micro-]architectural timing attacks, privilege escalation) - VM & Container trust and security models - Multi-environment coupling, system software supporting in-situ analysis with HPC simulation - Cloud reliability, fault-tolerance and high-availability - Energy-efficient and power-aware virtualization - Containers inside VMs with hypervisor isolation - Virtualization support for emerging memory technologies - Lightweight/specialized operating systems in conjunction with virtual machines - Hypervisor support for heterogeneous resources (GPUs, co-processors, FPGAs, etc.) - Novel unikernels and use cases for virtualized HPC environments - ARM-based hypervisors, ARM virtualization extensions Management: - Container and VM management for HPC and cloud environments - HPC services integration, services to support HPC - Service and on-demand scheduling & resource management - Dedicated workload management with VMs or containers - Workflow coupling with VMs and containers - Unikernel, lightweight VM application management - Environments and tools for operating containerized environments (batch, orchestration) - Novel models for non-HPC workload provisioning on HPC resources Performance Measurements and Modeling: - Performance improvements for or driven by unikernels - Optimizations of virtual machine monitor platforms and hypervisors - Scalability analysis of VMs and/or containers at large scale - Performance measurement, modeling and monitoring of virtualized/cloud workloads - Virtualization in supercomputing environments, HPC clusters, HPC in the cloud Configuration / Tooling: - Tool support for unikernels: configuration/build environments, debuggers, profilers - Job scheduling/control/policy and container placement in virtualized environments - Operating MPI in containers/VMs and Unikernels - Software defined networks and network virtualization - GPU virtualization operationalization The Workshop on Virtualization in High-Performance Cloud Computing (VHPC) aims to bring together researchers and industrial practitioners facing the challenges posed by virtualization in order to foster discussion, collaboration, mutual exchange of knowledge and experience, enabling research to ultimately provide novel solutions for virtualized computing systems of tomorrow. The workshop will be one day in length, composed of 20 min paper presentations, each followed by 10 min discussion sections, plus lightning talks that are limited to 5 minutes. Presentations may be accompanied by interactive demonstrations. Important Dates January 25, 2019 - Abstract Registration deadline Apr 19th, 2019 - Paper submission deadline (Springer LNCS) May 3, 2019 - Acceptance notification June 20th, 2019 - Workshop Day July 10th, 2019 - Camera-ready version due Chair Michael Alexander (chair), University of Vienna, Austria Anastassios Nanos (co-chair), SunLight.io, UK Andrew Younge (co-chair), Sandia National Laboratories Program committee Stergios Anastasiadis, University of Ioannina, Greece Jakob Blomer, CERN, Europe Eduardo César, Universidad Autonoma de Barcelona, Spain Stephen Crago, USC ISI, USA Tommaso Cucinotta, St. Anna School of Advanced Studies, Italy Christoffer Dall, Columbia University, USA Patrick Dreher, MIT, USA Kyle Hale, Northwestern University, USA Brian Kocoloski, Washington University, USA John Lange, University of Pittsburgh, USA Giuseppe Lettieri, University of Pisa, Italy Qing Liu, Oak Ridge National Laboratory, USA Nikos Parlavantzas, IRISA, France Kevin Pedretti, Sandia National Laboratories, USA Amer Qouneh, Western New England University, USA Carlos Reaño, Queen’s University Belfast, UK Borja Sotomayor, University of Chicago, USA Joe Stubbs, Texas Advanced Computing Center, USA Anata Tiwari, San Diego Supercomputer Center, USA Kurt Tutschku, Blekinge Institute of Technology, Sweden Yasuhiro Watashiba, Osaka University, Japan Chao-Tung Yang, Tunghai University, Taiwan Na Zhang, VMware, USA Paper Submission-Publication Papers submitted to the workshop will be reviewed by at least two members of the program committee and external reviewers. Submissions should include abstract, keywords, the e-mail address of the corresponding author, and must not exceed 10 pages, including tables and figures at a main font size no smaller than 11 point. Submission of a paper should be regarded as a commitment that, should the paper be accepted, at least one of the authors will register and attend the conference to present the work. Accepted papers will be published in a Springer LNCS volume. The format must be according to the Springer LNCS Style. Initial submissions are in PDF; authors of accepted papers will be requested to provide source files. Format Guidelines: ftp://ftp.springernature.com/cs-proceeding/llncs/llncs2e.zip Abstract, Paper Submission Link: https://edas.info/newPaper.php?c=25685 Lightning Talks Lightning Talks are non-paper track, synoptical in nature and are strictly limited to 5 minutes. They can be used to gain early feedback on ongoing research, for demonstrations, to present research results, early research ideas, perspectives and positions of interest to the community. Submit abstract via the main submission link. General Information The workshop is one day in length and will be held in conjunction with the International Supercomputing Conference - High Performance (ISC) 2019, June 16-20, Frankfurt, Germany.

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CFP: 7th Int. Conf. on Future Internet of Things and Cloud (FiCloud 2019)
by FiCloud Conference 18 Dec '18

18 Dec '18

----------------------Call for Papers ------------------------------------------------ The 7th International Conference on Future Internet of Things and Cloud (FiCloud 2019) 26-28 August 2019, Istanbul, Turkey http://www.ficloud.org/2019/ Technical co-sponsorship: IEEE-CS TCI --------------------------------------------------------------------------------------- The Internet of Things (IoT) vision is to provide a dynamic and global network infrastructure which is characterized by intelligent and self configuring capabilities. IoT is considered as an integral part of the future Internet. It is based on interoperable communication protocols in order to enable the interaction and integration of virtual as well as physical Things such as computers, smart devices, sensors, cars, refrigerators, food packages, medicines, etc. Things can be seamlessly integrated into the information network and interaction can be made through the provision of intelligent interfaces. In not so distant future, IoT will be forcing its way into every aspect of our lives and technologies including smart homes, smart cities, environment and nature, green energy, food, medicine, automotive, aerospace and aviation, telecommunication, and so on. IoT is generally characterized by real world and small Things, limited capacity, constrained devices and the consequential issues such as less reliability, security and privacy. Cloud computing on the other hand deals mainly with virtual world and has unlimited capabilities in terms of storage and processing power. Thus cloud and IoT are the main complementary aspects of the future Internet. IoT can benefit from the unlimited capabilities and resources of cloud computing. Similarly, cloud can benefit from IoT by extending its scope to deal with real world things in a more distributed and dynamic manner. The theme of this conference is to promote the state of the art in scientific and practical research of the IoT and cloud computing. It provides a forum for bringing together researchers and practitioners from academia, industry, and public sector in an effort to present their research work and share research and development ideas in the area of IoT and cloud computing. CONFERENCE TRACKS: - Cloud Models - SaaS, IaaS, PaaS - Security, Privacy and Trust - Software Systems, Models and Architectures - Mobile Cloud Services - Data and Knowledge Management - Context-awareness and Location-awareness - Software-defined Networking - Performance Evaluation and Modelling - Networking and Communication Protocols - IoT Services and Applications - Smart Environment - Enterprise and Business Models - Energy Efficiency - Federation and Virtualization - Fog and Edge Computing - Industry Track - General Track Paper submission and Publication: Authors are requested to submit papers reporting original research results and experience. The page limit for full papers is 8 pages and for short papers is 6 pages. Papers should be prepared using IEEE two-column template. See instructions on the conference website ( http://www.ficloud.org/2019/) All papers accepted for this conference are planned to be published in the conference proceedings by the IEEE Computer Society Conference Publishing Service (CPS). The proceedings will be submitted to the IEEE-Xplore and the IEEE Computer Society (CSDL) digital libraries. The proceedings are also submitted for indexing through IEE INSPEC, EI (Compendex), Thomson ISI, and other indexing services. Authors of selected papers will be invited to submit extended versions of their papers for special issues in international journals (see conference website). Important Dates: Submission Deadline: 11 March 2019 Authors Notification: 20 May 2019 Final Manuscript Due: 14 June 2019 General Chairs: Vincenzo Piuri, University of Milan, Italy Irfan Awan, University of Bradford, UK Program Chairs: Takahiro Hara, Osaka University, Japan Muhammad Younas, Oxford Brookes University, UK Local Organising Chairs: Perin Unal, Teknopar, Turkey Sezer Gören Ugurdag, Yeditepe University, Turkey Tacha Serif, Yeditepe University, Turkey Workshop Coordinator: Filipe Portela, University of Minho, Portugal Journal Special Issues Coordinator: Lin Guan, Loughborough University, UK Publicity Chair: Joyce El Haddad, University of Paris Dauphine, France Publication Chair: Barbara Masucci, University of Salerno, Italy Track Chairs: Antonio Celesti, University of Messina, Italy Edmundo Madeira, University of Campinas, Brazil Helen Karatza, Aristotle University of Thessaloniki, Greece Joyce El Haddad, University of Paris Dauphine, France Khaled Aloufe, Taibah University, Saudi Arabia Luiz Fernando Bittencourt, University of Campinas, Brazil Madihah Mohd Saudi, Universiti Sains Islam Malaysia, Malaysia Marcin Bajer, ABB Corporate Research Kraków, Poland Marisa Catalan Cid, i2Cat Foundation, Spain Marwan Hassani, Technische Universiteit Eindhoven, The Netherlands Natalia Kryvinska, University of Vienna, Austria Patience Anitta Namanya, Nettitude Group, UK Rafael Angarita, INRIA and Isep, Paris, France Ron Austin, Birmingham City University, UK R. Venkatesha Prasad, Delft University of Technology, The Netherlands Tacha Serif, Yeditepe University, Turkey Tuna Tugcu, Bogaziçi University, Turkey Vijay S. Rao, Delft University of Technology, The Netherlands

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CFP for PDSEC ’19 Workshop and Special Track: Performance and Software Engineering in Scientific Computing
by Shontz, Suzanne Michelle 18 Dec '18

18 Dec '18

Dear All: The 20th IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing Workshop (PDSEC ’19) (http://cse.stfx.ca/~pdsec19/index.php) will be held on May 24, 2019 in Rio De Janeiro, Brazil. The Call for Papers for the workshop can be found here (http://cse.stfx.ca/~pdsec19/cfp.php) Please note that this year there is a PDSEC special track in Performance and Software Engineering in Scientific Computing (https://sts.mb.uni-siegen.de/workshops/pdsec_2019/?lang=de) The deadline to submit papers to the workshop and to the special track is January 27, 2019. Best regards, Suzanne Dr. Suzanne Shontz, University of Kansas Publicity Chair, PDSEC ‘19

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CFP: SI with IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
by 严珂 18 Dec '18

18 Dec '18

Dear authors/professors/scientists, IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) is a well reputable journal in the fields of computational biology, healthcare engineering, bio-medical research and bioinformatics. Based on evaluation on your existing publications in the related fields, we would like to invite you to contribute one article/review to the special issue: “Machine Learning for AI-Enhanced Healthcare and Medical Services: New Development and Promising Solution” with IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB, IF=2.428, deadline: 30 Dec 2018). The topics of interest include, but not limited to the following topics: - AI enhanced clinical decision making; - Biomechanics, modeling and computing; - AI based computer vision topics on medical images; - Big data research and project experience in bio-medical and healthcare services; - Knowledge-based or agent-based models for biological systems; - Distributed systems in medical and healthcare services; - Intelligent devices and instruments for medical and healthcare services; - Machine learning in medicine, human biology, and healthcare; - Intelligent and process-aware information systems in human biology, healthcare and medicine; - AI and data science for human biology, medical and healthcare services; - AI in medical and healthcare education. To submit your works, simply log into the TCBB journal online submission system (https://mc.manuscriptcentral.com/tcbb-cs) followed by selecting the option: ‘SI-MLHealth-2018’ by 30 Dec 2018. For detailed information, please refer to the CFP flyer attached to this email. Please kindly notice that all submissions to the SI will go through a formal review process with at least three professional reviewers in the related field. We will try our best to return the review comments to you within a month after your submission. Whether your paper will be accepted by the journal will strictly depend on the reviewers’ recommendation. Best regards, Ke Yan (Ph.D.) Leading/Corresponding guest editor, Associate Professor, China Jiliang University

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Special Issue "The Second International Workshop on Parallel and Distributed Data Mining"
by Massimo CAFARO 17 Dec '18

17 Dec '18

Special Issue "The Second International Workshop on Parallel and Distributed Data Mining" A special issue of Algorithms (ISSN 1999-4893). Deadline for manuscript submissions: 21 December 2018 http://www.mdpi.com/journal/algorithms/special_issues/Parallel_Distributed_… Special Issue Information Dear Colleagues, This Special Issue is devoted to the increasing interest in the design and implementation of parallel and distributed data mining algorithms. The Workshop on Parallel and Distributed Data Mining (WPDM 2018) is an international forum that brings together researchers and practitioners, working on different high-performance aspects of data mining algorithms, enabling novel applications. Indeed, datasets grow so rapidly that, every day, exabytes of data are being generated, and, in order to extract and infer useful knowledge, parallel processing techniques are required to cope with this huge volume of data: Traditional sequential software is not viable to cope with them. When the data are generated in different places (such as wireless sensor networks and/or Internet of things devices), they may be geographically spread out, and the data cannot be sent to a centralized site, thus, the need for distributed processing algorithms arises. Topics relevant to this Special Issue cover the scope of the WPDM 2018 Workshop (http://sara.unisalento.it/~cafaro/WPDM2018/) - Parallel data mining algorithms using MPI and/or OpenMP - Parallel data mining algorithms targeting GPUs and many-cores accelerators - Parallel data mining applications exploiting FPGA - Distributed data mining algorithms - Benchmarking and performance studies of high-performance data mining applications - Novel programming paradigms to support high-performance computing for data mining - Performance models for high-performance data mining applications and middleware - Programming models, tools, and environments for high-performance computing in data mining - Caching, streaming, pipelining, and other optimization techniques for data management in high-performance computing for data mining Extended versions of papers presented at WPDM 2018 are sought, but this call for papers is fully open to all those who wish to contribute by submitting a relevant research manuscript. Manuscript Submission Information Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Algorithms is an international peer-reviewed open access monthly journal published by MDPI. Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 850 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions. Special Issue Editors Guest Editor Assoc. Prof. Massimo Cafaro Department of Engineering for Innovation, Via per Monteroni, 73100 Lecce, Italy Euro-Mediterranean Centre on Climate Change, Foundation, Lecce, Italy Guest Editor Dr. Italo Epicoco Department of Engineering for Innovation, Via per Monteroni, 73100 Lecce, Italy Euro-Mediterranean Centre on Climate Change, Foundation, Lecce, Italy Guest Editor Dr. Marco Pulimeno Department of Engineering for Innovation, Via per Monteroni, 73100 Lecce, Italy Guest Editor Prof. Giovanni Aloisio Department of Engineering for Innovation, Via per Monteroni, 73100 Lecce, Italy Euro-Mediterranean Centre on Climate Change, Foundation, Lecce, Italy - ************************************************************************************ Massimo Cafaro, Ph.D. Associate Professor Dept. of Engineering for Innovation University of Salento, Lecce, Italy Via per Monteroni 73100 Lecce, Italy Voice/Fax +39 0832 297371 Web http://sara.unisalento.it/~cafaro E-mail massimo.cafaro(a)unisalento.it cafaro(a)ieee.org cafaro(a)acm.org CMCC Foundation Euro-Mediterranean Center on Climate Change Via Augusto Imperatore, 16 - 73100 Lecce massimo.cafaro(a)cmcc.it ************************************************************************************

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The Third International Workshop on Parallel and Distributed Data Mining (WPDM 2019)
by Massimo CAFARO 17 Dec '18

17 Dec '18

WPDM 2019 The Third International Workshop on Parallel and Distributed Data Mining (WPDM 2019) http://sara.unisalento.it/~cafaro/WPDM2019/ CALL FOR PAPERS The Third Workshop on Parallel and Distributed Data Mining (WPDM 2019) will be held in conjunction with The 19th International Conference on Computational Science and Its Applications (ICCSA 2019), http://www.iccsa.org Saint Petersburg University, Saint Petersburg, Russia July 1-4 2019 Final submission Deadline: February 17, 2019 SCOPE AND OBJECTIVES The Workshop on Parallel and Distributed Data Mining is an international forum which brings together researchers and practitioners working on different high-performance aspects of data mining algorithms, enabling novel applications. Data mining techniques and algorithms to process huge amount of data in order to extract useful and interesting information have become popular in many different contexts. Algorithms are required to make sense of data automatically and in efficient ways. Nonetheless, even though sequential computer systems performance is improving, they are not suitable to keep up with the increase in the demand for data mining applications and the data size. Moreover, the main memory of sequential systems may not be enough to hold all the data related to current applications. Therefore, there is an increasing interest in the design and implementation of parallel data mining algorithms. On parallel computers, by exploiting the vast aggregate main memory and processing power of processors and accelerators, parallel algorithms can easily address both the running time and memory requirement issues. Anyway, parallelizing existing algorithms in order to achieve good performance and scalability with regard to massive datasets is not trivial. Indeed, it is of paramount importance a good data organization and decomposition strategy in order to balance the workload while minimizing data dependences. Another concern is related to minimizing synchronization and communication overhead. Finally, I/O costs should be minimized as well. The Workshop will allow exchanging ideas and results related to on-going research, focusing on high-performance aspects of data mining algorithms and applications. Creating breakthrough parallel algorithms for high-performance data mining applications requires addressing several key computing problems which may lead to novel solutions and new insights in interdisciplinary applications. The focus of the workshop is on all forms of advances in high-performance data mining algorithms and applications, and related topics. The WPDM Workshop topics include (but are not limited to) the following: - Parallel data mining algorithms using MPI and/or OpenMP - Parallel data mining algorithms targeting GPUs and many-cores accelerators - Parallel data mining applications exploiting FPGA - Distributed data mining algorithms - Benchmarking and performance studies of high-performance data mining applications - Novel programming paradigms to support high-performance computing for data mining - Performance models for high-performance data mining applications and middleware - Programming models, tools, and environments for high-performance computing in data mining - Caching, streaming, pipelining, and other optimization techniques for data management in high-performance computing for data mining INSTRUCTIONS FOR PAPER SUBMISSIONS You are invited to submit original and unpublished research works on above topics. Submitted papers must not have been published or simultaneously submitted elsewhere. The submitted paper must be between 10 to 16 pages long and formatted according to the Springer LNCS (Lecture Notes in Computer Science) rules, Guidelines and templates can be found at the url http://www.springer.com/it/computer-science/lncs/conference-proceedings-gui… To submit a paper, please connect to the Submission site from the link available at the ICCSA 2019 web site: http://ess.iccsa.org. Only papers submitted through the electronic system and strictly adhering to the relevant format will be considered for reviewing and publication. Please pay attention, when submitting your contribution to the workshop, to select the right entry in the listbox shown in the submission form. CONFERENCE POLICY By submitting the paper to ICCSA conference, all authors agree to abide by all ICCSA conference paper submission, publication and presentation policies. Namely, authors confirm that the work is original, has not appeared in literature in any form in the past and will not be submitted to any other venue concurrently with ICCSA submission or until it appears in ICCSA proceedings (in the case of acceptance). Furthermore, upon paper acceptance, authors agree to transfer copyright on the accepted paper to ICCSA, and one of the authors will register the paper and present the paper at the event. No paper withdrawals can be accepted after Conference pre-registration date or within three months of the actual event, whichever date comes first. Paper withdrawal request can be only accepted in writing through email, letter or fax to conference organizers. The conference has no responsibility for any intentional or accidental misuse, misinterpretation, or failure to follow above rules and conditions and holds no legal, civil or other responsibility for opinions, content or utilization of any methods/algorithms expressed in the Conference Proceedings. If you have any questions about paper submission or the workshop, please contact the workshop organisers. IMPORTANT DATES February 17, 2019: Deadline for paper submission March 31, 2019: Notification of Acceptance. May 8, 2019: Early-bird Registration ends. May 8, 2019: Submission deadline for the final version of the Papers July 1-4, 2019: ICCSA 2019 Conference WORKSHOP ORGANIZERS Massimo Cafaro University of Salento, Italy Phone: +39 0832 297371 Fax: +39 0832 297235 Email: massimo.cafaro(a)unisalento.it Italo Epicoco University of Salento, Italy Phone: +39 0832 297235 Fax: +39 0832 297235 Email: italo.epicoco(a)unisalento.it Marco Pulimeno University of Salento, Italy Phone: +39 0832 297371 Fax: +39 0832 297235 Email: marco.pulimeno(a)unisalento.it Giovanni Aloisio University of Salento & Euro Mediterranean Center on Climate Change Foundation, Italy Phone: +39 334 6501704 Fax: +39 0832 297235 Email: giovanni.aloisio(a)unisalento.it International Program Committee: All submitted papers will be reviewed by the workshop technical program committee members. Program Committee formation is pending and will be finalised shortly. - ************************************************************************************ Massimo Cafaro, Ph.D. Associate Professor Dept. of Engineering for Innovation University of Salento, Lecce, Italy Via per Monteroni 73100 Lecce, Italy Voice/Fax +39 0832 297371 Web http://sara.unisalento.it/~cafaro E-mail massimo.cafaro(a)unisalento.it cafaro(a)ieee.org cafaro(a)acm.org CMCC Foundation Euro-Mediterranean Center on Climate Change Via Augusto Imperatore, 16 - 73100 Lecce massimo.cafaro(a)cmcc.it ************************************************************************************

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Special Issue on Finite Difference Methods: Recent Developments and Applications in Computational Science
by Bhaskar Chaudhury 13 Dec '18

13 Dec '18

Special Issue on Finite Difference Methods: Recent Developments and Applications in Computational Science Computational Science is a rapidly growing interdisciplinary field concerned with constructing mathematical models, numerical approximations of forward and inverse problems, quantitative analysis techniques, and using advanced computing capabilities to analyze, investigate and solve a wide range of complex problems in the natural and social sciences, medicine, and engineering, among others. Finite difference approximations of differential equations are one of the oldest and simplest methods which are frequently used for computing approximate solutions of the underlying equations modeling complex phenomenon. With the availability of ever more powerful computational resources, the large but finite algebraic system of equations arising from finite difference approximations can be easily solved on present day computers, and the resulting efficient algorithms provide gold standards to beat for other approximation techniques. Modeling and simulation tools based on Finite Difference techniques find increasing applications not only in fundamental research, but also in several real-world applications. However, the simplicity and efficiency of Finite Difference Methods comes at the cost of reduced accuracy and stability in the approximation of problems involving heterogenieties and nonsmooth interfaces. The objective of this special issue is to present recent important developments in the construction, analysis and simulation of approximation techniques based on the Finite Difference Method (FDM) that address these and other limitations of the FDMs and provide efficient solutions to advance research in this area. High-quality original contributions to this special issue are invited from researchers working in this area. TOPICS Potential topics include but are not limited to the following: · (High order) FDMs for Elliptic, Parabolic and Hyperbolic Problems · (High order) FDMs for Initial and Boundary Value Problems · Alternating Direction Implicit FDMs · Compact and Symplectic FDMs · Nonstandard FDMs, positivity-preserving, convexity preserving schemes · High Order Operator Splitting based FDMs; Mimetic FDMs · Adaptive Mesh Refinement in FDMs · Multiscale Methods based on FDMs · FDMs on unbounded domains and on domains with irregular geometry · Irregular Grid FDMs · Element-free and Meshless FDMs · Parallel FD methods, FDMs on GPUs · Applications of FDMs in Physics, Chemistry, Biology, Finance andEngineering. IMPORTANT DATES · Sept 16, 2018: Call for papers. · April 1, 2019: Deadline for Initial Paper Submission. · June 30, 2019: Notification of First Round Decision. · July 30, 2019: Deadline for Revised Paper Submission. · August 30, 2019: Deadline 2nd review decision. · September 30, 2019: Deadline for 2nd revision. · October 30 , 2019: Deadline for final decision. · December 15, 2019: Target publication date. GUEST EDITORS Prof. Dr. Bhaskar Chaudhury ( bhaskar_chaudhury(a)daiict.ac.in ) DA-IICT, Gandhinagar, India Prof. Dr. Matthias Ehrhardt ( ehrhardt(a)uni-wuppertal.de ) University of Wuppertal, Wuppertal, Germany Prof. Dr. Vrushali Bokil ( bokilv(a)math.oregonstate.edu ) Oregon State University, Corvallis, Oregon, USA SUBMISSION AND REVIEW OF PAPERS Submitted papers should be original and are not be under consideration elsewhere for publication. The authors should follow the journal guidelines, regarding the manuscript content and its format when preparing their manuscripts. All papers will be reviewed by at least two independent reviewers for their suitability in terms of technical novelty, scientific rigor, scope, and relevance to this special issue. Once your manuscript is accepted, it will go into production, and will be simultaneously published in the current regular issue and pulled into the online Special Issue. Articles from this Special Issue will appear in different regular issues of the journal, though they will be clearly marked and branded as Special Issue articles. Please select article type name of “VSI: FDM-Computational Science ” during submission process. https://www.journals.elsevier.com/journal-of-computational-science/call-for…

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CompAstro Workshop within ICCSA 2019
by Marzio Rosi 12 Dec '18

12 Dec '18

Dear Colleague, This is an invitation to submit a contribution for the Computational Astrochemistry (CompAstro) Workshop of the 19th International Conference on Computational Science and its Applications (ICCSA 2019, www.iccsa.org<http://www.iccsa.org/> ) to be held on July 1 - 4, 2019 in Saint Petersburg (Russia). The format of the CompAstro Workshop is peculiar, as it does not feature a list of pre-selected invited speakers. Rather, the oral contributions will be selected only from the submitted papers. Please note that the submission of a short paper (and not of the mere abstract) is required by the deadline indicated in the ICCSA webpage (the deadline for submission might vary with respect to that originally indicated, presumably it will extend up to the end of March). All accepted papers will be included in the Springer Lecture Notes in Computer Science (LNCS, http://www.springer.com/gp/computer-science/lncs) series and indexed by Scopus, EI Engineering Index, Thomson Reuters Conference Proceedings Citation Index (included in ISI Web of Science), and several other indexing services. The papers will contain linked references, XML versions and citable DOI numbers. Submitted papers will be subject to stringent peer review by at least three experts and carefully evaluated based on originality, significance, technical soundness, and clarity of exposition. DESCRIPTION OF THE WORKSHOP Since their first detection, the presence of relatively complex molecules in the interstellar medium, ISM, has posed the question of how they are formed. The harsh chemical environments of interstellar clouds (namely, very low temperature and very low number density), indeed, challenge the common notions that chemical synthesis requires energy to promote the weakening of the reactant bonds and frequent collisions to increase the number of reactive encounters. Since 1% of interstellar clouds is composed by small silicates or vitreous carbonaceous particles, interstellar grains covered by icy mantles are also invoked to play an important role in synthesizing interstellar molecules by acting as interstellar catalysts. One important drawback of astrochemical models, which include several thousands of molecular processes, is due to the uncertainty associated with the parameters which are used to quantitatively account for the importance of every step: many of those processes have never been investigated in laboratory experiments, many others have been investigated but under experimental conditions that do not reproduce the interstellar ones (either regarding the temperature or the pressure). For gas-phase reactions of the first kind, rate coefficients and their temperature dependence are mainly estimated with some chemical intuition or by drawing analogies with similar known processes. Small details in the molecular structure and in the potential energy surfaces, however, can induce a huge change in the chemical behavior and reasoning by analogy can cause severe mistakes. In the second case, the values obtained as a function of the temperature in a T range that does not encompass those of relevance in ISM are used, but this can also be very risky as a change in the reaction mechanism can alter the temperature dependence in non-Arrhenius reactions. The case of grain-chemistry simulation in laboratory experiments is even more complex, as no experiments are able to reproduce the size of interstellar particles, the exact composition of the grain icy mantle and the flux of particles and/or photons impinging on the grains. A theoretical characterization at the atomic/molecular level can help in extrapolating experimental data at the conditions of ISM or in estimating in a reliable way the kinetic parameters (e.g. cross sections, rate constants, branching ratios) associated with reactions that cannot be investigated in laboratory experiments. These theoretical characterizations, once used to interpret and understand the laboratory data, can assist in the extrapolation to the actual ISM conditions. When laboratory data are not available, instead, they can provide a reliable estimate of the relative parameters. In conclusion, a thorough theoretical characterization can be pivotal to the understanding of chemistry in space either in the presence or absence of experimental data. All these topics are covered by computational astrochemistry, which forms the subject of the present workshop. The themes of the Workshop include (but are not limited to): * Potential energy surfaces of reactions relevant in astrochemistry * Thermochemistry of reactions relevant in astrochemistry * Calculation of kinetic parameters associated with reactions relevant in astrochemistry * Modelling dust and icy grain structures and properties * Modelling processes at the grain surfaces * Theory for spectroscopy * Astrochemical models Organizers: Marzio Rosi - marzio.rosi(a)unipg.it<mailto:marzio.rosi@unipg.it> (Università degli Studi di Perugia), Dimitrios Skouteris – d.skouteris(a)master-up.it<mailto:d.skouteris@master-up.it> (Master-up, Perugia), Fanny Vazart – fanny.vazart(a)univ-grenoble-alpes.fr<mailto:fanny.vazart@univ-grenoble-alpes.fr> (Université Grenoble Alpes), Albert Rimola - Albert.Rimola(a)uab.cat<mailto:Albert.Rimola@uab.cat> (Universitat Autònoma de Barcelona) Program Committee Members: Nadia Balucani, Università degli Studi di Perugia, nadia.balucani(a)unipg.it<mailto:nadia.balucani@unipg.it>; Cecilia Ceccarelli, Université Grenoble Alpes, cecilia.ceccarelli(a)univ-grenoble-alpes.fr<mailto:cecilia.ceccarelli@univ-grenoble-alpes.fr>; Stefano Falcinelli, Università degli Studi di Perugia, stefano.falcinelli(a)unipg.it<mailto:stefano.falcinelli@unipg.it>; Piero Ugliengo, Università degli Studi di Torino, piero.ugliengo(a)unito.it<mailto:piero.ugliengo@unito.it>; Daniela Ascenzi, Università degli Studi di Trento, daniela.ascenzi(a)unitn.it<mailto:daniela.ascenzi@unitn.it> INFORMATION ABOUT THE ICCSA CONFERENCE The 19th International Conference on Computational Science and its Applications (ICCSA 2019) will be held on July 1 - 4, 2019 in Saint Petersburg, Russia in collaboration with the Saint Petersburg University, Russia. ICCSA 2019 will be the next event in a series of highly successful International Conferences on Computational Science and Its Applications (ICCSA), previously held in Melbourne, Australia (2018), Trieste, Italy (2017), Beijing. China (2016), Banff, Canada (2015), Guimaraes, Portugal (2014), Ho Chi Minh City, Vietnam (2013), Salvador de Bahia, Brazil (2012), Santander, Spain (2011), Fukuoka, Japan (2010), Suwon, Korea (2009), Perugia, Italy (2008), Kuala Lumpur, Malaysia (2007), Glasgow, UK (2006), Singapore (2005), Assisi, Italy (2004), Montreal, Canada (2003), and (as ICCS) in Amsterdam, The Netherlands (2002) and San Francisco, USA (2001). The first ICCSA conference was co-organized by C.J.K. Tan (UK) and M. Gavrilova (U of Calgary, Canada) in 2003. Computational Science is a main pillar of most of the present research, industrial and commercial activities and plays a unique role in exploiting Information and Communication Technologies as innovative technologies. The ICCSA Conference offers a real opportunity to discuss new issues, tackle complex problems and find advanced enabling solutions able to shape new trends in Computational Science. Submitted papers will be subject to stringent peer review by at least three experts and carefully evaluated based on originality, significance, technical soundness, and clarity of exposition. All accepted papers will be included in the Springer Lecture Notes in Computer Science (LNCS)<http://www.springer.com/computer/lncs?SGWID=0-164-0-0-0> series and indexed by Scopus, EI Engineering Index, Thomson Reuters Conference Proceedings Citation Index (included in ISI Web of Science), and several other indexing services. The papers will contain linked references, XML versions and citable DOI numbers. The conference is organized in cooperation with: Saint Petersburg University<http://english.spbu.ru/>, Russia The conference is proudly sponsored by: <http://www.monash.edu.au/> University of Perugia<http://www.unipg.it/>, Italy<http://www.monash.edu.au/> University of Basilicata<http://www.unibas.it/>, Italy Monash University<http://www.monash.edu.au/>, Australia Kyushu Sangyo University<http://www.kyusan-u.ac.jp/E/>, Japan University of Minho<http://www.uminho.pt/en/home_en>, Portugal

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