computational.science November 2017

computational.science@lists.iccsa.org

25 participants
30 discussions

20 Nov '17

Dear Colleague, The 17th IEEE International Conference on Cognitive Informatics and Cognitive Computing (ICCI*CC'18) will be held at UC Berkeley, CA, USA during July 15-18, 2018 (http://www.ucalgary.ca/icci_cc/iccicc-18). The IEEE ICCI*CC series is a flagship conference of its field sponsored by IEEE Computer, Computational Intelligence and SMC Societies. The theme of ICCI*CC’18 is on Cognitive Machine Learning, Brain-Inspired Systems and Cognitive Robotics. You are welcome to submit a paper … [View More]

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Ada Developer Room at FOSDEM 2018 - deadline Sun 26 Nov 2017
by Dirk Craeynest 19 Nov '17

19 Nov '17

----------------------------------------------------------------------- 2nd Call for Presentations 8th Ada Developer Room at FOSDEM 2018 Saturday 3 February 2018, Brussels, Belgium http://www.cs.kuleuven.be/~dirk/ada-belgium/events/18/180203-fosdem.html Organized in cooperation with Ada-Europe Deadline Sunday 26 November 2017 ----------------------------------------------------------------------- The … [View More]

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CFP: Special Issue on 'Software Defined Networking and Network Function Virtualization' in Scalable Computing and Communications (Springer)
by Javid Taheri 19 Nov '17

19 Nov '17

--------------------------------------------------------------------------------- Please accept our apologies if you receive multiple copies of this CFP --------------------------------------------------------------------------------- CALL FOR PAPERS Scalable Computing and Communications ~Special Issue Call for Papers~ Software Defined Networking and Network Function Virtualization IMPORTANT DATES: - Submission Deadline: 15 Dec 2017 - Notification of Acceptance: 31 March 2018 - Final Version: … [View More]31 May 2018 INTRODUCTION AND MOTIVATION With maturity of virtualization techniques, more and more services are to be run inside virtualized Data Centers vDCs) to further reduce Operational (OPEX) and Capital Expenditures (CAPEX). Aligned with the general trend of migrating traditional IT architectures to clouds (public or private), next generation of telecommunication networks such as 5G are also envisaged to be run on virtualized environments where network functions are deployed on virtual machines and/or containers instead of current proprietary equipment. Several proof-of-concept and initial industrial deployments proved that Software Defined Networking (SDN) and Network Function Virtualization (NFV) are two promising technologies to enable such technological shift. Nevertheless, how to optimize and guarantee the performance of such virtualized systems is still challenging, because they require accurate modelling and efficient optimization to satisfy ever increasing demand of future networks. To address several major issues raised by migrating network applications to virtualized infrastructures, this special issue aims to highlight challenges, state-of-the-art, and solutions to a set of currently unresolved key questions including, but not limited to: performance, modelling, optimizations, reliability, security, and techno-economic aspects of virtualized networks. By addressing these concerns, technology might be one step closer to understanding, and consequently, closing the gap between the performance of the next generation SDN/NFV-based networks and their current counterparts in proprietary boxes. In this special issue, we welcome contributions that can shed light onto any of the following questions: 1. How virtualized networks should be designed to guarantee the performance required by network operations? 2. How virtualized services can be benchmarked and/or compared? 3. How virtualized services should be designed and/or operated to take advantage of cloud infrastructures and further provide flexibilities (such as load migration) that current proprietary equipment cannot provide? 4. How network functions should be placed and/or network capacities should be sliced to optimize network critical metrics such as throughput, delay, jitter, etc.? 5. How virtualized services should/can be efficiently orchestrated, monitored, and managed? PAPER SUBMISSION: - Authors are encouraged to submit high-quality, original work that has neither appeared in, nor is under consideration by, other journals. - All papers will be reviewed following standard reviewing procedures for the Journal. - Papers must be prepared in accordance with the Journal guidelines: www.springer.com/41122 - Submit manuscripts to: http://SCAC.edmgr.com. Topics to be covered in this Special Issue are including, but not limited to: 1. Model, benchmark, and/or optimize operation of SDN/NFV-based networks and services. 2. Resource and/or content allocation for SDN/NFV-based networks and services. 3. Reliability and resiliency of SDN/NFV-based networks and services. 4. Dynamic/flexible construction and deployment of Service Function Chains using SDN/NFV technologies. 5. Fault detection and/or correction for SDN/NFV-based networks and services. 6. Architectures, applications, and use cases of SDN/NFV to provide networking services. 7. Monitoring techniques for SDN/NFV-based networks and services. 8. Deployment, management, and orchestration of SDN/NFV-based networks and services. 9. Business/economic aspects of SDN/NFV-based networks and services. 10. Security concerns of SDN/NFV-based networks and services. 11. Mobile and/or Wireless Networks enabled by SDN/NFV-based networks and services. [View Less]

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[DEADLINE EXTENSION] Special Issue on Parallel and Distributed Data Mining
by Massimo Cafaro 16 Nov '17

16 Nov '17

Special Issue on Parallel and Distributed Data Mining Information Sciences, Elsevier Submission deadline: February 1th, 2018 The sheer volume of new data, which is being generated at an increasingly fast pace, has already produced an anticipated data deluge that is difficult to challenge. We are in the presence of an overwhelming vast quantity of data, owing to how easy is to produce or derive digital data. Even the storage of this massive amount of data is becoming a highly demanding task, … [View More]outpacing the current development of hardware and software infrastructure. Nonetheless, this effort must be undertaken now for the preservation, organization and long-term maintenance of these precious data. However, the collected data is useless without our ability fully understand and make use of it. Therefore, we need new algorithms to address this challenge. 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. This Special Issue takes into account the increasing interest in the design and implementation of parallel and distributed data mining algorithms. Parallel algorithms can easily address both the running time and memory requirement issues, by exploiting the vast aggregate main memory and processing power of processors and accelerators available on parallel computers. 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. 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. Moreover, increasingly the data is spread among different geographically distributed sites. Centralized processing of this data is very inefficient and expensive. In some cases, it may even be impractical and subject to security risks. Therefore, processing the data minimizing the amount of data being exchanged whilst guaranteeing at the same time correctness and efficiency is an extremely important challenge. Distributed data mining performs data analysis and mining in a fundamentally distributed manner paying careful attention to resource constraints, in particular bandwidth limitation, privacy concerns and computing power. The focus of this Special Issue is on all forms of advances in high-performance and distributed data mining algorithms and applications. The topics relevant to the Special Issue include (but are not limited to) the following. TOPICS OF INTEREST Scalable parallel data mining algorithms using message-passing, shared-memory or hybrid programming paradigms Exploiting modern parallel architectures including FPGA, GPU and many-core accelerators for parallel data mining applications Middleware for high-performance data mining on grid and cloud environments 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 Map-reduce based parallel data mining algorithms Caching, streaming, pipelining, and other optimization techniques for data management in high-performance computing for data mining Novel distributed data mining algorithms SUBMISSION GUIDELINES All manuscripts and any supplementary material should be submitted electronically through Elsevier Editorial System (EES) at http://ees.elsevier.com/ins (http://ees.elsevier.com/ins). The authors must select as “SI:PDDM” when they reach the “Article Type” step in the submission process. A detailed submission guideline is available as “Guide to Authors” at: http://www.elsevier.com/journals/information-sciences/0020-0255/guide-for-a…. IMPORTANT DATES Submission deadline: February 1st, 2018 First round notification: May 1st, 2018 Revised version due: July 1st, 2018 Final notification: August 1st, 2018 Camera-ready due: September 15th, 2018 Publication tentative date: December 2018 Guest editors: Massimo Cafaro, Email: massimo.cafaro(a)unisalento.it University of Salento, Italy and Euro-Mediterranean Centre on Climate Change, Foundation Italo Epicoco, Email: italo.epicoco(a)unisalento.it University of Salento, Italy and Euro-Mediterranean Centre on Climate Change, Foundation Marco Pulimeno, Email: marco.pulimeno(a)unisalento.it University of Salento, 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 ************************************************************************************ [View Less]

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One Post-doc and Two PhD Scholarships
by Jinjun Chen 16 Nov '17

16 Nov '17

We are now offering One Post-doc and Two PhD scholarships in the area of Data Security & Privacy or Blockchain; or Data Analytics in Healthcare/FinTech. 1. For One Post-doc, please refer to the website - http://www.swinburne.edu.au/about/jobs/search-apply/ --> Job search --> All vacancies --> "Postdoctoral Research Fellow ( School of Software & Electrical Engineering)". Alternatively, you can email to Prof Jinjun Chen at jchen(a)swin.edu.au for further detail. - 3-year fixed-… [View More]

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Deadline Extension until December 1, 2017: International Workshop on Benchmarking of Computational Intelligence Algorithms (BOCIA)
by tweise＠gmx.de 16 Nov '17

16 Nov '17

International Workshop on Benchmarking of Computational Intelligence Algorithms (BOCIA) at the Tenth International Conference on Advanced Computational Intelligence (ICACI 2018) March 29-31, 2018 in Xiamen, China http://iao.hfuu.edu.cn/bocia18 BOCIA, the International Workshop on Benchmarking of Computational Intelligence Algorithms, a part of the Tenth International Conference on Advanced Computational Intelligence (ICACI 2018), is cordially inviting the submission of original and unpublished … [View More]research papers. Computational Intelligence (CI) is a huge and expanding field which is rapidly gaining importance, attracting more and more interests from both academia and industry. It includes a wide and ever-growing variety of optimization and machine learning algorithms, which, in turn, are applied to an even wider and faster growing range of different problem domains. For all of these domains and application scenarios, we want to pick the best algorithms. Actually, we want to do more, we want to improve upon the best algorithm. This requires a deep understanding of the problem at hand, the performance of the algorithms we have for that problem, the features that make instances of the problem hard for these algorithms, and the parameter settings for which the algorithms perform the best. Such knowledge can only be obtained empirically, by collecting data from experiments, by analyzing this data statistically, and by mining new information from it. Benchmarking is the engine driving research in the fields of optimization and machine learning for decades, while its potential has not been fully explored. Benchmarking the algorithms of Computational Intelligence is an application of Computational Intelligence itself! This workshop wants to bring together experts on benchmarking of optimization and machine learning algorithms. It provides a common forum for them to exchange findings and to explore new paradigms for performance comparison. All accepted papers in this workshop will be included in the Proceedings of the IEEE ICACI 2018 published by IEEE Press and indexed by EI. Authors of selected papers will be invited to submit extended versions of these papers to the Special Issue on Benchmarking of Computational Intelligence Algorithms appearing in the Computational Intelligence journal by Wiley Periodicals Inc., indexed by EI and SCI (see the end of this CfP, http://iao.hfuu.edu.cn/bocia-ci-si, and http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-8640). 1. Topics of Interest The topics of interest for this workshop include, but are not limited to: o mining of higher-level information from experimental results o modelling of algorithm behaviors and performance o visualizations of algorithm behaviors and performance o statistics for performance comparison (robust statistics, PCA, ANOVA, statistical tests, ROC, …) o evaluation of real-world goals such as algorithm robustness, reliability, and implementation issues o theoretical results for algorithm performance comparison o comparison of theoretical and empirical results o new benchmark problems o automatic algorithm configuration o algorithm selection o the comparison of algorithms in "non-traditional" scenarios such as - multi- or many-objective domains - parallel implementations, e.g., using GGPUs, MPI, CUDA, clusters, or running in clouds - large-scale problems or problems where objective function evaluations are costly - dynamic problems or where the objective functions involve randomized simulations or noise - deep learning and big data setups o comparative surveys with new ideas on - dos and don'ts, i.e., best and worst practices, for algorithm performance comparison - tools for experiment execution, result collection, and algorithm comparison - benchmark sets for certain problem domains and their mutual advantages and weaknesses 2. Instructions for Authors Prospective authors are invited to submit papers of no more than eight pages in IEEE Manuscript Format for Conference Proceedings (double column, A4 format), including results, figures and references, with a maximum file size of 4MB, in PDF format. More information regarding the submission process can be found at the conference website http://www.ieee.org/conferences_events/conferences/publishing/templates.html and under http://www.icaci2018.org/submission/. Templates can be found at http://www.icaci2018.org/wp-content/uploads/2017/06/2014_04_msw_a4_format.d… (Word) and http://www.icaci2018.org/wp-content/uploads/2017/06/ieee-latex-conference-t… (LaTeX). The papers are to be submitted via the official conference website submission form (http://easychair.org/conferences/?conf=icaci2018) where the "International Workshop on Benchmarking of Computational Intelligence Algorithms" should be selected as track. The papers are to be submitted via the official conference website submission form where the "International Workshop on Benchmarking of Computational Intelligence Algorithms" should be selected as track. 3. Important Dates Extended Paper Submission Deadline: 1 December 2017 Notification of Acceptance: 15 December 2017 Camera-Ready Copy Due: 15 January 2018 Author Registration: 15 January 2018 Conference Presentation: 29-31 March 2018 For more information please contact Thomas Weise at tweise(a)hfuu.edu.cn. 4. Chairs o Thomas Weise, Institute of Applied Optimization, Hefei University, Hefei, China o Bin Li, University of Science and Technology of China, Hefei, China o Markus Wagner, University of Adelaide, Adelaide, SA, Australia o Xingyi Zhang, Anhui University, Hefei, China o Jörg Lässig, University of Applied Sciences Zittau/Görlitz, Görlitz, Germany 5. International Program Committee o Thomas Bartz-Beielstein, Technical University of Cologne, Köln (Cologne), Germany o Josu Ceberio Uribe, University of the Basque Country, Bilbao, Spain o Wenxiang Chen, Colorado State University, Fort Collins, CO, USA o Marco Chiarandini, University of Southern Denmark, Odense M, Denmark o Raymond Chiong, The University of Newcastle, Callaghan, Australia o Carola Doerr, Université Pierre et Marie Curie - Paris 6, Paris, France o Mohamed El Yafrani, Mohammed V University of Rabat, Rabat, Morocco o Marcus Gallagher, University of Queensland, Brisbane, Australia o William La Cava, University of Pennsylvania, Philadelphia, PA, USA o Jörg Lässig, University of Applied Sciences Zittau/Görlitz, Görlitz, Germany o Bin Li, University of Science and Technology of China, Hefei, China o Pu Li, Technische Universität Ilmenau, Ilmenau, Germany o Jing Liang, Zhengzhou University, Zhengzhou, China o Zhen Liu, Institute of Applied Optimization, Hefei University, Hefei, China o Manuel López-Ibáñez, University of Manchester, Manchester, UK o Yi Mei, Victoria University of Wellington, Wellington, New Zealand o Martin Middendorf, Leipzig University, Leipzig, Germany o Antonio J. Nebro, University of Málaga, Málaga, Spain o Randal S. Olson, University of Pennsylvania, Philadelphia, PA, USA o Patryk Orzechowski, University of Pennsylvania, Philadelphia, PA, USA o Qi Qi, University of Science and Technology of China, Hefei, China o Danilo Sipoli Sanches, Federal University of Technology – Paraná, Cornélio Procópio, Brazil o Ponnuthurai Nagaratnam Suganthan, Nanyang Technological University, Singapore o Ryan J. Urbanowicz, University of Pennsylvania, Philadelphia, PA, USA o Markus Wagner, University of Adelaide, Adelaide, SA, Australia o Thomas Weise, Institute of Applied Optimization, Hefei University, Hefei, China o Yang Yu, Nanjing University, Nanjing, China o Xingyi Zhang, Anhui University, Hefei, China 6. Chair Biographies Prof. Dr. Thomas Weise obtained the MSc in Computer Science in 2005 from the Chemnitz University of Technology and his PhD from the University of Kassel in 2009. He then joined the University of Science and Technology of China (USTC) as PostDoc and subsequently became Associate Professor at the USTC-Birmingham Joint Research Institute in Intelligent Computation and Its Applications (UBRI) at USTC. In 2016, he joined Hefei University as Full Professor to found the Institute of Applied Optimization at the Faculty of Computer Science and Technology. Prof. Weise has more than seven years of experience as a full time researcher in China, having contributed significantly both to fundamental as well as applied research. He has more than 80 scientific publications in international peer reviewed journals and conferences. His book "Global Optimization Algorithms – Theory and Application" has been cited more than 730 times. He has acted as reviewer, editor, or programme committee member at 70 different venues. Prof. Dr. Bin Li received the B.S. degree from Hefei University of Technology, Hefei, China, in 1992, the M.Sc. degree from Institute of Plasma Physics, China Academy of Science, Hefei, China, in 1995, and the Ph.D. degree from University of Science and Technology of China (USTC), China in 2001. He is currently a professor with the School of Information Science and Technology, USTC, Hefei, China. He has authored and co-authored more than 40 refereed publications. His major research interests include evolutionary computation, memetic algorithms, pattern recognition, and real-world applications. Dr. Li is the Founding Chair of IEEE CIS Hefei Chapter, Counselor of IEEE USTC Student Branch, senior member of Chinese Institute of Electronics (CIE), member of the Technical Committee of Electronic Circuits and Systems Section of CIE. Dr. Markus Wagner is a Senior Lecturer at the School of Computer Science, University of Adelaide, Australia. He has done his PhD studies at the Max Planck Institute for Informatics in Saarbrücken, Germany and at the University of Adelaide, Australia. His research topics range from mathematical runtime analysis of heuristic optimization algorithms and theory-guided algorithm design to applications of heuristic methods to renewable energy production, professional team cycling and software engineering. So far, he has been a program committee member 30 times, and he has written over 70 articles with over 70 different co-authors. He has chaired several education-related committees within the IEEE CIS, is Co- Chair of ACALCI 2017 and General Chair of ACALCI 2018. Prof. Dr. Xingyi Zhang received the B.Sc. from Fuyang Normal College in 2003, and the M.Sc. in 2006 and Ph.D. in 2009 both from Huazhong University of Science and Technology. Currently, he is a professor in the School of Computer Science and Technology, Anhui University. His main research interests include unconventional models and algorithms of computation, multi-objective evolutionary optimization and membrane computing. He is the chair of 2017 Data Driven Optimization of Complex Systems and Applications and 2015 Asian Conference on Membrane Computing. He also serves as Editorial Board Member of Complex & Intelligent Systems and International Journal of Bio-inspired Computing. Prof. Dr. Jörg Lässig leads the Enterprise Application Development Group (EAD) of the University of Applied Sciences Zittau/Görlitz in Germany since 2011. He holds degrees in Computer Science, Computational Physics, and received a Ph.D. in Computer Science for his research on efficient algorithms and models for the generation and control of cooperation networks at Chemnitz University of Technology (Germany), which he finished in 2009. Prof. Lässig has PostDocs at the Università della Svizzera italiana, Institute of Computational Sciences (Lugano, Switzerland) and the International Computer Science Institute Berkeley (California, USA). His EAD research group at HSZG and his IT security group with the Fraunhofer Society are focusing on topics concerned with intelligent data driven technologies for state-of-the-art IT infrastructures and services. His research directions include sustainable IT services, energy efficiency benchmarking, regional carbon footprints and energy informatics. 7. Hosting Event The Tenth International Conference on Advanced Computational Intelligence (ICACI 2018) Xiamen, China, March 29–31, 2018 http://www.icaci2018.org ICACI 2018 aims to provide a high-level international forum for scientists, engineers, and educators to present the state-of-the-art research and applications in computational intelligence. The conference will feature plenary speeches given by world renowned scholars, regular sessions with broad coverage, and special sessions focusing on popular topics. In addition, best paper awards will be given during the conference. The proceedings of ICACI 2018 will be submitted to the IEEE Xplore and EI Compendex. Moreover, selected papers will be published in special issues of related journals. The conference will favor papers representing advanced theories and innovative applications in computational intelligence. Topics areas include, but are not limited to: computational neuroscience, connectionist theory and cognitive science, mathematical modeling of neural systems, neurodynamic analysis, neurodynamic optimization and adaptive dynamic programming, embedded neural systems, probabilistic and information-theoretic methods, principal and independent component analysis, hybrid intelligent systems, supervised, unsupervised and reinforcement learning, deep learning, brain imaging and neural information processing, neuroinformatics and bioinformatics, support vector machines and kernel methods, autonomous mental development, data mining, pattern recognition, time series analysis, image and signal processing, robotic and control applications, telecommunications, transportation systems, intrusion detection and fault diagnosis, hardware implementation, real-world applications, big data processing, fuzzy systems, fuzzy logic, fuzzy set theory, fuzzy decision making, fuzzy information processing, fuzzy logic control, evolutionary computation, ant colony optimization, genetic algorithms, parallel and distributed algorithms, particle swarm optimization, evolving neural networks, evolutionary fuzzy systems, evolving neuro-fuzzy systems, evolutionary games and multi-agent systems, intelligent systems applications. http://www.icaci2018.org/ 8. Special Issue on Benchmarking of Computational Intelligence Algorithms in Computational Intelligence – An International Journal published by Wiley Periodicals, Inc. http://iao.hfuu.edu.cn/bocia-ci-si Pre-Submission Deadline: 05 May 2018 Paper Submission Deadline: 05 June 2018 Expected Notification: 05 August 2018 Resubmission (Revision): 05 October 2018 Expected Notification (Revision): 05 November 2018 Final Submission: 05 December 2018 Decision Notification: 05 February 2019 Publication: 2019 The papers of this special issue will be processed according to the journal’s special issue guidelines at http://projects.cs.dal.ca/ci/Special-issue-instructions.html. This requires a preliminary submission step, for which the papers should be sent by the pre-submission deadline to tweise(a)hfuu.edu.cn with CC to markus.wagner(a)adelaide.edu.au, and binli(a)ustc.edu.cn. [View Less]

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DEADLINE EXTENSION - Special session “Parallel and distributed high-performance computing solutions in Systems Biology” (PDP 2018)
by Paolo Cazzaniga 15 Nov '17

15 Nov '17

***Apologies for multiple posting. Please kindly disseminate this Call for Papers to your colleagues and contacts***Special session on “Parallel and distributed high-performance computing solutions in Systems Biology” hosted by PDP 2018 (http://www.pdp2018.org/) Computer Lab, Cambridge, UK 21-23 March, 2018 Important dates - Paper submission: 30 November, 2017 - Acceptance notification: 10 December, 2017 - Camera ready due: 24 December, 2017 - Conference: 21 - 23 Mar, 2018 Organized by: … [View More]Daniela Besozzi (co-chair), University of Milano-Bicocca, Italy Paolo Cazzaniga (co-chair), University of Bergamo, Italy Marco S. Nobile, University of Milano-Bicocca, Italy Carlos F. Lopez, Vanderbilt University, USA Aim and Scope Systems Biology deals with the analysis of natural systems at various scales of complexity, requiring different modeling frameworks and computational methods. The applicability of these approaches may be hampered by excessively burdensome execution times. The scope of this special session is to bring together researchers involved in the development of computational methods specifically accelerated either by means of conventional architectures (e.g., computer clusters, GRID computing) or by unconventional technologies (e.g., Graphics Processing Units, Many Integrated Core coprocessors, cloud computing, biomimetic devices). Topics of interest include, but are not limited to: - analysis at the single-cell level - analysis and visualization of genome-wide models - analysis of robustness of cellular networks - Bayesian inference of biological systems - biomedical model parameterization - cancer progression models - design of synthetic biological components and circuits - drug design - emergent properties in complex biological systems - flux balance analysis - biomedical image analysis - metabolic engineering - metabolic pathway analysis - models of neural activity - model verification and refinement methods - multi-scale modeling and simulation of biological systems - parameter estimation methods - personalized models in Systems Medicine - reverse engineering of reaction networks - software tools for Systems and Synthetic Biology - spatio-temporal modeling and simulation of biological systems Program Committee John Albeck (UC Davis, USA) Daniela Besozzi (University of Milano-Bicocca, Italy) Michael L. Blinov (University of Connecticut Health Center, USA) Tiziana Castrignanò (CINECA, Italy) Paolo Cazzaniga (University of Bergamo, Italy) Eric J. Deeds (University of Kansas, USA) James R. Faeder (University of Pittsburgh, USA) Mohammad Fallahi-Sichani (University of Michigan Medical School, USA) Hitoshi Iba (University of Tokyo, Japan) Daniel C. Kirouac (Genentech Inc., USA) David Klinke (West Virginia University, USA) Robin E. C. Lee (University of Pittsburgh, USA) Carlos F. Lopez (Vanderbilt University, USA) Molly Maleckar (Allen Institute for Cell Science, USA) Giancarlo Mauri (University of Milano-Bicocca, Italy) Marco S. Nobile (University of Milano-Bicocca, Italy) Ion Petre (Åbo Akademi University, Finland) Alex Pothen (Purdue University, USA) Daniele Ramazzotti (Stanford School of Medicine, USA) Filippo Spiga (University of Cambridge, UK) David Umulis (Purdue University, USA) Marco Villani (University of Modena and Reggio Emilia, Italy) Submission of papers Prospective authors should submit a full paper not exceeding 8 pages in the Conference proceedings format (double-column, 10pt) to the conference main track through the EasyChair conference submission system ( http://www.easychair.org/conferences/?confpdp2017 <https://euromicro-pdp2018-dot-yamm-track.appspot.com/Redirect?ukey=1yNFAg-y…>). The possibility to submit a paper to a special session will appear soon. Double-blind review: the paper should not contain authors names and affiliations; in the reference list, references to the authors' own work entries should be substituted with the string "omitted for blind review". Publication: All accepted papers will be included in the same volume, published by the Conference Publishing Services (CPS). The Final Paper Preparation and Submission Instructions will be published after the notification of acceptance. Authors of accepted papers are expected to register and present their papers at the Conference. Conference proceedings will be submitted to IEEE explore, CDSL, and for indexing among others, to DBLP, Scopus ScienceDirect, and ISI Web of Knowledge. Conference post-proceedings The best papers submitted to this special session may be eligible for publication in a Special Issue of BMC Bioinformatics. [View Less]

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CFP: IEEE Embedded Systems Letters
by Andalam Sidharta (Dr) 15 Nov '17

15 Nov '17

---------------------------------------------------------------------------------------------------------------------------- IEEE Embedded Systems Letters Call for Papers: Special Issue on Real-Time Technologies in CPS Submission Deadline: 30th January, 2018 ---------------------------------------------------------------------------------------------------------------------------- Introduction This special issue of Embedded Systems Letters will focus on research themes in real-time and … [View More]Cyber-Physical Systems (CPS) related to the concluded conference IEEE 20th International Symposium on Real-Time Computing (ISORC), 2017. The objective is to present papers that explore the use of object/component/service-oriented real-time distributed computing (ORC) technology in the design of CPS. Besides papers related to ISORCÕs 2017 theme of scalable and real-time data analytics, we also welcome papers in other real-time CPS topics such as programming models, systems engineering, distributed computing and communication infrastructures, systems software, and technologies for resilience. ---------------------------------------------------------------------------------------------------------------------------- Scope The scope of this special issue includes all areas related to real-time computing and communication technologies for CPS. In particular, papers that explore ORC technology and real-time data analytics for CPS are welcome. Besides regular research papers, perspective papers that present a grand challenge problem, charter a new direction of research, express a contradictory viewpoint, or promote an interdisciplinary research area related to the topic of this special issue are also welcome. Topics of interest include but are not limited to the following: - Scalable and Real-Time Data Analytics: Algorithms and computational infrastructure to support real-time data analytics, case-studies and applications in real-time data analytics. - Programming Models and Systems Engineering: Object/component modelling frameworks, real-time language frameworks including synchronous languages, model-driven design and development, time-predictable hardware and software architecture design. - Distributed Computing and Communication Infrastructure: Real-time communication protocols, networked platforms, peer-to-peer computing, real-time wireless sensor networks. - Systems Software: Real-time kernels and OS, middleware support for ORC, quality-of-service management, resource synchronization, allocation and scheduling. - Resilience: Trusted and dependable systems, fault tolerance, security, self-awareness, resilient hardware and software architectures. ---------------------------------------------------------------------------------------------------------------------------- Submission Guidelines Submitted papers must strictly follow the IEEE Embedded Systems Letters guidelines (http://www.ieee-ceda.org/publication/esl- publication/author-guidelines). Papers must be four pages or fewer in length, including all figures, tables and references. Papers should follow the IEEE transactions two-column format in 10-pt. font, and must consist of original work that has not been previously published nor is currently under review elsewhere. Authors of ISORC 2017 who wish to submit a paper based on their conference publication, please note that your submission should either be a self-contained extension or a perspective paper on the topic of the publication. It is very important to select ÒSpecial Issue on Real-Time Technologies in CPSÓ as the submission type when submitting your papers (submission link: https://mc.manuscriptcentral.com/les-ieee). ---------------------------------------------------------------------------------------------------------------------------- Schedule Full paper submission deadline: 30th January, 2018 First author notification: March, 2018 Revised paper due: April, 2018 Final author notification: May, 2018 Expected publication: July, 2018 ---------------------------------------------------------------------------------------------------------------------------- Guest-Editor Arvind Easwaran, Nanyang Technological University, Singapore Email: arvinde(a)ntu.edu.sg<mailto:arvinde@ntu.edu.sg> ________________________________ CONFIDENTIALITY: This email is intended solely for the person(s) named and may be confidential and/or privileged. If you are not the intended recipient, please delete it, notify us and do not copy, use, or disclose its contents. Towards a sustainable earth: Print only when necessary. Thank you. [View Less]

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Workshop Parallel Matrix Algorithms and Applications, Jun 27-29, 2018
by Peter Arbenz 13 Nov '17

13 Nov '17

Workshop Parallel Matrix Algorithms and Applications, Jun 27-29, 2018 http://pmaa18.ethz.ch/ This international workshop aims to be a forum for exchanging ideas, insights and experiences in different areas of parallel computing in which matrix algorithms play a key role. The Workshop will bring together experts and practitioners from diverse disciplines with a common interest in matrix computation. Topics of interest include, but are not limited to, the following: * Parallel … [View More]

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CFP: PDSEC-18 workshop (with IPDPS-18)
by Peter Strazdins 13 Nov '17

13 Nov '17

(apologies for cross-postings) The 19th IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC-18) http://cse.stfx.ca/~pdsec18 will be held on May 25, 2018 in Vancouver in conjunction with IPDPS 2018. Deadline: PDSEC-18 papers are due Friday 25 Jan 2018 (AoE) Scope and Interests: The technological trends of HPC system evolution indicates increasing burden for application developers in management of the unprecedented levels of complexity … [View More]in hardware and the associated performance characteristics. Many existing application codes are unlikely to perform well on future systems without major modifications or even complete rewrites. It will be important to utilize, in unison, many characteristics such as multiple levels of parallelism, many lightweight cores, complex memory hierarchies, novel I/O technology, power capping, system-wide temporal/spatial performance heterogeneity and reliability concerns. The HPC community has developed new programming models, algorithms, libraries and tools to meet these challenges in order to accommodate productive code development and effective system use. However, the application community still needs to identify the benefit through practical evaluations. Thus, the focus of this workshop is on methodologies and experiences of scientific and engineering applications and algorithms to achieve sustainable code development for better productivity, application performance and reliability. In particular, we will focus on the following topics in parallel and distributed scientific and engineering applications, but not limited to: * Code modernization methodologies and experiences for adapting the changes in future computing systems such as porting of legacy simulation code and libraries/tools to facilitate code refactoring and porting. * Application and algorithm development of various parallel and distributed programming models/framework such as CAF, UPC, Chapel, X10, Charm++, HPX, Uintah, Legion, and/or the interoperation of multiple models within single applications (e.g. MPI+X where X is OpenMP, OpenCL, CUDA etc). We appreciate the experiences of early adopters of new programming models and platforms. * Experience in new tools and libraries for effective application development, including performance tools, application development frameworks, Domain Specific Languages (DSLs), etc. * Tools and techniques for improving application reliability and resilience. This includes both performance and correctness issues, with the latter arising from adverse operating conditions (e.g. low power) or very large system scales. * Use cases of enterprise distributed computing technology (such as MapReduce, Data Analytics and Machine-learning tools) in scientific and engineering applications. * Large-scale parallel and distributed algorithms supporting science and engineering applications. * Methodologies and experiences in developing large-scale applications. Important Dates: Paper submission due . . . . . . . . . . . . . . January 25, 2018 Notification of Acceptance . . . . . . . . . . . March 02, 2018 Final camera-ready paper . . . . . . . . . . . . March 16, 2018 (TBC) Workshop . . . . . . . . . . . . . . . . . . . . May 25, 2018 General Chairs Peter Strazdins, Australian National University, Australia Raphael Couturier, University of Franche-Comte, France Program Chairs Keita Teranishi, Sandia National Laboratories, USA Joseph Antony, National Computational Infrastructure, Australia Steering Committee Thomas Rauber, University of Bayreuth, Germany Gudula Runger, Chemnitz University of Technology, Germany Laurence T. Yang (Chair), St. Francis Xavier University, Canada -- Regards, Peter ------------------------------------------------------------------------ Peter Strazdins, PhD GCHE, SIEEE SFHEA Research School of Computer Science ANU College of Engineering and Computer Science CSIT Building 108, North Rd The Australian National University, Canberra ACT 2601 AUSTRALIA T: +61 2 6125 5140 F: +61 2 6125 0010 W: http://cs.anu.edu.au/~Peter.Strazdins E: Peter.Strazdins(a)cs.anu.edu.au ------------------------------------------------------------------------ [View Less]

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computational.science November 2017