computational.science January 2019

computational.science@lists.iccsa.org

51 participants
84 discussions

Call for Papers: ScalA@SC 2017 - Papers due August 28
by Engelmann, Christian 04 Nov '20

04 Nov '20

We apologize if you receive multiple copies of this notice. ----------------------------------------------------------------------------- ScalA’17: 8th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems held in conjunction with the SC17: The International Conference on High Performance Computing, Networking, Storage and Analysis in cooperation with ACM SIGHPC November 13, 2017, Denver, CO, USA <http://www.csm.ornl.gov/srt/conferences/Scala/2017> Novel scalable scientific algorithms are needed in order to enable key science applications to exploit the computational power of large-scale systems. This is especially true for the current tier of leading petascale machines and the road to exascale computing as HPC systems continue to scale up in compute node and processor core count. These extreme-scale systems require novel scientific algorithms to hide network and memory latency, have very high computation/communication overlap, have minimal communication, and have no synchronization points. Scientific algorithms for multi-petaflop and exa-flop systems also need to be fault tolerant and fault resilient, since the probability of faults increases with scale. Resilience at the system software and at the algorithmic level is needed as a crosscutting effort. Finally, with the advent of heterogeneous compute nodes that employ standard processors as well as GPGPUs, scientific algorithms need to match these architectures to extract the most performance. This includes different system-specific levels of parallelism as well as co-scheduling of computation. Key science applications require novel mathematical models and system software that address the scalability and resilience challenges of current- and future-generation extreme-scale HPC systems. Submission Guidelines Authors are invited to submit manuscripts in English structured as technical papers not exceeding 8 letter size (8.5in x 11in) pages including figures, tables, and references using the ACM format for conference proceedings. Submissions not conforming to these guidelines may be returned without review. Reference style files are available at <http://www.acm.org/sigs/publications/proceedings-templates>. All manuscripts will be reviewed and judged on correctness, originality, technical strength, and significance, quality of presentation, and interest and relevance to the workshop attendees. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. At least one author of an accepted paper must register for and attend the workshop. Authors may contact the workshop program chair for more information. Papers should be submitted electronically at: <https://easychair.org/conferences/?conf=scala17>. Full papers will be published with the SC'17 workshop proceedings in the ACM Digital Library and IEEE Xplore. Selected papers will be invited for an extended version in a special issue of the Journal of Computational Science (JoCS). Important Dates - Full paper submission: August 28, 2017 - Notification of acceptance: September 11, 2017 - Final paper submission (firm): October 9, 2017 - Workshop/conference early registration: TBD - Workshop: November 13, 2017 Topics of interest include, but are not limited to: - Novel scientific algorithms that improve performance, scalability, resilience, and power efficiency - Porting scientific algorithms and applications to many-core and heterogeneous architectures - Performance and resilience limitations of scientific algorithms and applications at scale - Crosscutting approaches (system software and applications) in addressing scalability challenges - Scientific algorithms that can exploit extreme concurrency (e.g. 1 billion for exascale by 2020) - Naturally fault tolerant, self-healing, or fault oblivious scientific algorithms - Programming model and system software support for algorithm scalability and resilience Workshop Chairs - Vassil Alexandrov, Barcelona Supercomputing Center, Spain - Al Geist, Oak Ridge National Laboratory, USA - Jack Dongarra, University of Tennessee, Knoxville, USA Workshop Program Chair - Christian Engelmann, Oak Ridge National Laboratory, USA Program Committee - Vassil Alexandrov, Barcelona Supercomputing Center, Spain - Hartwig Anzt, University of Tennessee, Knoxville, USA - Rick Archibald, Oak Ridge National Laboratory, USA - Franck Cappello, Argonne National Laboratory and University of Illinois at Urbana Champaign, USA - Zizhong Chen, University of California, Riverside, USA - James Elliott, Sandia National Laboratories, USA - Nahid Emad, University of Versailles SQ, France - Christian Engelmann, Oak Ridge National Laboratory, USA - Wilfried Gansterer, University of Vienna, Austria - Michael Heroux, Sandia National Laboratories, USA - Kirk E. Jordan, IBM T.J. Watson Research, USA - Dieter Kranzlmueller, Ludwig-Maximilians-University Munich, Germany - Ignacio Laguna, Lawrence Livermore National Laboratory, USA - Piotr Luszczek, University of Tennessee, Knoxville, USA - Michael Mascagni, Florida State University, USA - Ron Perrot, University of Oxford, UK - Yves Robert, ENS Lyon, France - Stuart Slattery, Oak Ridge National Laboratory, USA - Keita Teranishi, Sandia National Laboratories, USA -- Christian Engelmann, Ph.D. R&D Staff Scientist Computer Science Research Group Computer Science and Mathematics Division Oak Ridge National Laboratory Mail: P.O. Box 2008, Oak Ridge, TN 37831-6173, USA Phone: +1 (865) 574-3132 / Fax: +1 (865) 576-5491 e-Mail: engelmannc(a)ornl.gov / Home: www.christian-engelmann.info

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CFP: Resilience@Euro-Par 2017 - Papers due May 5
by Christian Engelmann 08 May '19

08 May '19

We apologize if you receive multiple copies of this call for papers. -------------------------------------------------------------------------------- 10th Workshop on Resiliency in High Performance Computing (Resilience) in Clusters, Clouds, and Grids <http://www.csm.ornl.gov/srt/conferences/Resilience/2017> in conjunction with the 23rd International European Conference on Parallel and Distributed Computing (Euro-Par), Santiago de Compostela, Spain, August 28 - September 1, 2017 <http://europar2017.usc.es> Overview: Resilience is a critical challenge as high performance computing (HPC) systems continue to increase component counts, individual component reliability decreases (such as due to shrinking process technology and near-threshold voltage (NTV) operation), and software complexity increases. Application correctness and execution efficiency, in spite of frequent faults, errors, and failures, is essential to ensure the success of the extreme-scale HPC systems, cluster computing environments, Grid computing infrastructures, and Cloud computing services. While a fault (e.g., a bug or stuck bit) is the cause of an error, its manifestation as a state change is considered an error (e.g., a bad value or incorrect execution), and the transition to an incorrect service is observed as a failure (e.g., an application abort or system crash). A failure in a computing system is typically observed through an application abort or a full/partial service or system outage. A detectable correctable error is often transparently handled by hardware, such as a single bit flip in memory that is protected with single-error correction double-error detection (SECDED) error correcting code (ECC). A detectable uncorrectable error (DUE) typically results in a failure, such as multiple bit flips in the same addressable word that escape SECDED ECC correction, but not detection, and ultimately cause an application abort. An undetectable error (UE) may result in silent data corruption (SDC), e.g., an incorrect application output. There are many other types of hardware and software faults, errors, and failures in computing systems. Resilience for HPC systems encompasses a wide spectrum of fundamental and applied research and development, including theoretical foundations, fault detection and prediction, monitoring and control, end-to-end data integrity, enabling infrastructure, and resilient solvers and algorithm-based fault tolerance. This workshop brings together experts in the community to further research and development in HPC resilience and to facilitate exchanges across the computational paradigms of extreme-scale HPC, cluster computing, Grid computing, and Cloud computing. Submission Guidelines: Authors are invited to submit papers electronically in English in PDF format. Submitted manuscripts should be structured as technical papers and BETWEEN 10 AND 12 PAGES, including figures, tables and references, using Springer's Lecture Notes in Computer Science (LNCS) format at <http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0>. Papers with less than 10 or more than 12 pages will not be accepted due to publisher guidelines. Submissions should include abstract, key words and the e-mail address of the corresponding author. Papers not conforming to these guidelines may be returned without review. All manuscripts will be reviewed and will be judged on correctness, originality, technical strength, significance, quality of presentation, and interest and relevance to the conference attendees. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date or not appropriately structured may also not be considered. The proceedings will be published in Springer's LNCS as post-conference proceedings. At least one author of an accepted paper must register for and attend the workshop for inclusion in the proceedings. Authors may contact the workshop program chairs for more information. Important websites: - Resilience 2017 Website: <http://www.csm.ornl.gov/srt/conferences/Resilience/2017> - Resilience 2017 Submissions: <https://easychair.org/conferences/?conf=europar2017workshops> - Euro-Par 2017 website: <http://europar2017.usc.es> Topics of interest include, but are not limited to: - Theoretical foundations for resilience: - Metrics and measurement - Statistics and optimization - Simulation and emulation - Formal methods - Efficiency modeling and uncertainty quantification - Fault detection and prediction: - Statistical analyses - Machine learning - Anomaly detection - Data and information collection - Visualization - Monitoring and control for resilience: - Platform and application monitoring - Response and recovery - RAS theory and performability - Application and platform knobs - Tunable fidelity and quality of service - End-to-end data integrity: - Fault tolerant design - Degraded modes - Forward migration and verification - Fault injection - Soft errors - Silent data corruption - Enabling infrastructure for resilience: - RAS systems - System software and middleware - Programming models - Tools - Next-generation architectures - Resilient solvers and algorithm-based fault tolerance: - Algorithmic detection and correction of hard and soft faults - Resilient algorithms - Fault tolerant numerical methods - Robust iterative algorithms - Scalability of resilient solvers and algorithm-based fault tolerance Important Dates: - Workshop papers due: May 5, 2017 - Workshop author notification: June 16, 2017 - Workshop early registration: TBD - Workshop paper (for informal workshop proceedings): July 21, 2017 - Workshop camera-ready papers: October 3, 2017 General Co-Chairs: - Stephen L. Scott Senior Research Scientist - Systems Research Team Tennessee Tech University and Oak Ridge National Laboratory, USA scottsl(a)ornl.gov - Chokchai (Box) Leangsuksun, SWEPCO Endowed Associate Professor of Computer Science Louisiana Tech University, USA box(a)latech.edu Program Co-Chairs: - Patrick G. Bridges University of New Mexico, USA bridges(a)cs.unm.edu - Christian Engelmann Oak Ridge National Laboratory , USA engelmannc(a)ornl.gov Program Committee: - Ferrol Aderholdt, Oak Ridge National Laboratory, USA - Dorian Arnold, University of New Mexico, USA - Rizwan Ashraf, Oak Ridge National Laboratory, USA - Wesley Bland, Intel Corporation, USA - Hans-Joachim Bungartz, Technical University of Munich, Germany - Franck Cappello, Argonne National Laboratory and University of Illinois at Urbana-Champaign, USA - Marc Casas, Barcelona Supercomputer Center, Spain - Zizhong Chen, University of California at Riverside, USA - Robert Clay, Sandia National Laboratories, USA - Miguel Correia, Universidade de Lisboa, Portugal - Nathan DeBardeleben, Los Alamos National Laboratory, USA - James Elliott, Sandia National Laboratories, USA - Kurt Ferreira, Sandia National Laboratories, USA - Michael Heroux, Sandia National Laboratories, USA - Saurabh Hukerikar, Oak Ridge National Laboratory, USA - Dieter Kranzlmueller, Ludwig-Maximilians University of Munich, Germany - Sriram Krishnamoorthy, Pacific Northwest National Laboratory, USA - Ignacio Laguna, Lawrence Livermore National Laboratory, USA - Scott Levy, University of New Mexico, USA - Kathryn Mohror, Lawrence Livermore National Laboratory, USA - Christine Morin, INRIA Rennes, France - Dirk Pflueger, University of Stuttgart, Germany - Nageswara Rao, Oak Ridge National Laboratory, USA - Alexander Reinefeld, Zuse Institute Berlin, Germany - Rolf Riesen, Intel Corporation, USA - Yves Robert, ENS Lyon, France - Thomas Ropars, Universite Grenoble Alpes, France - Martin Schulz, Lawrence Livermore National Laboratory, USA - Keita Teranishi, Sandia National Laboratories, USA -- Christian Engelmann, Ph.D. R&D Staff Scientist Computer Science Research Group Computer Science and Mathematics Division Oak Ridge National Laboratory Mail: P.O. Box 2008, Oak Ridge, TN 37831-6173, USA Phone: +1 (865) 574-3132 / Fax: +1 (865) 576-5491 e-Mail: engelmannc(a)ornl.gov / Home: www.christian-engelmann.info

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02 Apr '19

Dear Colleague, The 18th IEEE International Conference on Cognitive Informatics and Cognitive Computing (ICCI*CC'19) will be held at Polytechnic University of Milan, Italy during July 23-25, 2019 (http://www.ucalgary.ca/icci_cc/iccicc-19). The IEEE ICCI*CC series is a flagship conference of its field sponsored by IEEE CS, SMCS and etc. The theme of ICCI*CC’18 is on Cognitive Learning Systems, Brain-Inspired Systems, and Cognitive Robotics, as well as a Cognitive Arts & Science Track jointly sponsored by WAAS, and a Symbiotic Autonomous System Track jointly sponsored by the IEEE SAS Initiative. You are welcome to submit a paper to IEEE ICCI*CC'19 or to organize a special session related to the theme of the conference. The Proceedings of ICCI*CC'19 will be published by IEEE CS Press (EI Indexed). A good rate of selected papers from the conference will be recommended to leading international journals and/or IEEE transactions with ISI/EI indexes. Paper submission site is at https://easychair.org/conferences/?conf=ieeeiccicc2019 . Submission deadline will be on March 1 , 2019. We look forward to having an opportunity to meet you at IEEE ICCI*CC'19. Sincerely, IEEE ICCI*CC'19 Co-Chairs HONORARY CHAIR: Prof. Bernard Widrow (Stanford Univ.) and Prof. Jerome Feldman (UC Berkeley) GENERAL CO-CHAIRS: Prof. Rodolfo A. Fiorini (PolyU Milan, Italy), Prof. Yingxu Wang (U Calgary, Canada), and Prof. Newton Howard (U Oxford, UK) PROGRAM CO-CHAIRS: Dr. Garry Jacobs (WAAS, USA) and Prof. Paolo Soda (U. of Rome, Italy) _______________________________________________ This message was sent to all subscribers of IEEEicci13-L To unsubscribe, see instructions at: http://www.ucalgary.ca/it/email/mailman E-mail: IEEEicci13-L(a)mailman.ucalgary.ca Homepage: http://mailman.ucalgary.ca/mailman/listinfo/ieeeicci13-l

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CFP for Special Session on Virtualization in High Performance Computing and Simulation (VIRT2019)
by Uday Kurkure 12 Feb '19

12 Feb '19

http://hpcs2019.cisedu.info/2-conference/special-sessions/session01-virt *The Second Special Session on **Virtualization in High Performance Computing and Simulation* *(VIRT 2019)* *CALL FOR PAPERS & PARTICIPATION* *As part of* *The 17th International Conference on High Performance Computing & Simulation (HPCS 2019)* *http://hpcs2019.cisedu.info/ <http://hpcs2019.cisedu.info/> or http://conf.cisedu.info/rp/hpcs19 <http://conf.cisedu.info/rp/hpcs19>* *15 - 19 July 2019* *Dublin, Ireland* *Paper Submission Deadline: 03 March 2019* *Submissions could be for full papers, short papers, poster papers, or posters* *PURPOSE and SCOPE* Virtualization has become the foundation of cloud computing. The scale of cloud computing data centers is similar to the supercomputers used in High Performance Computing. Both involve millions of CPU cores, tens of thousands of accelerators like GPUs, FPGAs connected by high speed interconnects and different connection topologies. Studies have shown that the GPU utilization in HPC is often at 50%. Virtualization can be the key to increasing resource utilization and managing massive infrastructures efficiently. GPU vendors have introduced virtualized versions of GPUs. FPGAs are being deployed in virtual infrastructure. These and other developments in the field, along with future exascale systems, will provide increasing degree of virtualization within the systems. The goal of this session is to be an opportunity to discuss and exchange research on the different virtualization technologies and how they can be efficiently applied in High Performance Computing. Theoretical research, engineering solutions dealing with practical tradeoffs, and complex system implementation papers are welcomed. *The VIRT topics include (but are not limited to) the following: * - *Virtualization in HPC* o Energy efficient solutions for HPC applications in the cloud environment o High-availability based on system-level virtualization mechanisms for HPC o Fault tolerance mechanisms based on system-level virtualization mechanisms for HPC o Performance and evaluation of diverse HPC workloads in virtualization environment o Security Isolation, Resource Isolation and Data Isolation in Virtualized HPC o Flexibility and Ease of system administration and management for virtualized environments for HPCo Running diverse workloadso Running heterogeneous Operating Systemso Live Migration and Suspend/Resume of VMs to improve resource utilization and avoid downtimeo Scheduling of resources and Workloads o Software Defined Data Centers (SDDC) o Hypervisors and other virtualization solutions tailored for HPC systems o Big Data and Analytics in Virtualized Environments o Enterprise High Performance Computing in Virtualized Environments - *Accelerators in Virtualized HPC Environments:* o Virtualized GPUs § Scheduling of Virtual GPUs o Using FPGAs in Virtualization Stack § Dynamic Reconfiguration of FPGAs - * IO Virtualization* o Network Virtualization o SR-IOV o Software Defined Networking (SDN) o Storage Virtualization o RDMA and vRDMA - *Containers in HPC* o Isolation of Multiple User-Spaces o Running containers in Virtual Machines - *Tools* o Virtualization solutions for dealing with heterogeneity in HPC environments o Compilers for heterogenous architectures involving GPUS, FPGAs, multi-core CPUs o Operating system support for virtualization in HPC systems o Debugging and/or profiling in virtual environments - *Algorithms* o Distributed Resource Scheduling o Distributed Computing - *AI, Machine Learning and Deep Learning*o Virtualization of Deep Learning Workloads o Deep Learning in HPC Simulations o Resource Allocation Using Machine Learning o Reinforcement Learning for Resource Allocation o Machine Learning to build tools for measurement & calibration - *Virtualization in Simulation* *INSTRUCTIONS FOR PAPER SUBMISSIONS* You are invited to submit original and unpublished research works on above and other topics related to *virtualization in high performance computing and simulation*. Submitted papers must not have been published or simultaneously submitted elsewhere until it appears in HPCS proceedings, in the case of acceptance, or notified otherwise. For Regular papers, please submit a PDF copy of your full manuscript, not to exceed 8 double-column formatted pages per template, and include up to 6 keywords and an abstract of no more than 400 words. Additional pages will be charged additional fee. Submission should include a completed online web based form (can also include a cover page) with authors' names, affiliation addresses, fax numbers, phone numbers, and all authors email addresses. Please, indicate clearly the corresponding author(s) although all authors are equally responsible for the manuscript. Short papers (up to 4 pages), poster papers and posters (please refer to http://hpcs2019.cisedu.info/1-call-for-papers-and-participation/call-for-po… for posters submission details) will also be considered. Please specify the type of submission you have. Please include page numbers on all preliminary submissions to make it easier for reviewers to provide helpful comments. Submit a PDF copy of your full manuscript to the special session paper submission site at https://cmt3.research.microsoft.com/VIRT2019 . Acknowledgement will be sent within 48 hours of submission. *Conference Policies* Only PDF files will be accepted, uploaded to the submission link above. Each paper will receive a minimum of three reviews. Papers will be selected based on their originality, relevance, significance, technical clarity and soundness, presentation, language, and references. Submission implies the willingness of at least one of the authors to register and present the paper, if accepted. At least one of the authors of each accepted paper will have to register and attend the HPCS 2019 conference to present the paper at the special session as scheduled. By submitting the paper to the HPCS conference, all authors agree to abide by all HPCS conference paper submission, publication and presentation policies as well as following ethical and professional codes of conduct, including those of the professional co-sponsoring organizations. Contents of manuscripts submitted to the tracks program committees shall be regarded as privileged as well and handled in the same manner and standards. For more information, please refer to the Authors Info <http://hpcs2019.cisedu.info/6-participants/authors-info> and Registration Info <http://hpcs2019.cisedu.info/6-participants/registration-info> pages. *Proceedings* Accepted papers will be published in the Conference proceedings. Instructions for final manuscript format and requirements will be posted on the HPCS 2019 Conference web site. It is our intent to have the proceedings formally published in hard and soft copies and be available at the time of the conference. The proceedings is projected to be included in the IEEE or ACM Digital Library and indexed in all major indexing services accordingly. *SPECIAL ISSUE* Plans are underway to have the best papers, in extended version, selected for possible publication in a reputable journal as special issue. Detailed information will soon be announced and will be made available on the conference website. If you have any questions about paper submission or the special session, please contact the special session organizers. *IMPORTANT DATES* *Paper Submissions: ------------------------------------------- 03 March 2019* *Acceptance Notification: -------------------------------------- 22 March 2019* *Camera Ready Papers and Registration Due by: ----------- 19 April 2019* *Conference Dates: -------------------------------------------- 15–19 July 2019* *SPECIAL SESSION ORGANIZERS* *Uday Kurkure* VMware, Inc. 3401 Hillview Avenue Palo Alto, CA 94304, USA Phone: +1 650-427-1179 Fax: +1 650- Email: uday(a)alumni.stanford.edu *Hari Sivaraman * VMware, Inc. 3401 Hillview Avenue Palo Alto, CA 94304, USA Phone: +1 650-427-3681 Fax: +1 650- Email: hsivaraman(a)vmware.com *Lan Vu* VMware, Inc. 3401 Hillview Avenue Palo Alto, CA 94304, USA Phone: +1 650-427-1327 Fax: +1 650- Email: lanv(a)vmware.com International Program Committee*: All submitted papers will be rigorously reviewed by the special session technical program committee members following similar criteria used in HPCS 2019 and will be published as part of the HPCS 2019 Proceedings. - *Cristina Boeres,* Fluminense Federal University, Brazil - *Isaac Gelado,* Nvidia Corp., Santa Clara, California, USA - *Kyle Hale,* Illinois Institute of Technology, Illinois, USA - *Brian Kocoloski*, Washington University in St. Louis, Missouri, USA - *Xiaoyi Lu,* The Ohio State University - Columbus, Ohio, USA - *Carlo Reano,* Queen's University Belfast, U.K. - *Federico Silla,* University of Valencia, Spain - *Alex Sim,* Lawrence Berkeley National Laboratory, California, USA - Blesson Varghese, Queen's University Belfast, U.K. - *Andrew Younge*, Sandia National Laboratories, Albuquerque, New Mexico, USA - *Dong Ping Zhang, *AMD Inc., San Jose, California, USA - *Na Zhang, *VMware Inc., Boston, Massachusetts, USA For information or questions about Conference's paper submission, tutorials, posters, workshops, special sessions, exhibits, demos, panels and forums organization, doctoral colloquium, and any other information about the conference location, registration, paper formatting, etc., please consult the Conference’s web site at URL: http://hpcs2019.cisedu.info/ or http://conf.cisedu.info/rp/hpcs19 or contact one of the Conference's organizers.

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CFP: Int. Conference on Deep Learning and Machine Learning in Emerging Applications (Deep-ML 2019)
by Deep ML 31 Jan '19

31 Jan '19

------------------------ Call for Papers ----------------------------- The International Conference on Deep Learning and Machine Learning in Emerging Applications (Deep-ML 2019) 26-28 August 2019, Istanbul, Turkey http://www.ficloud.org/deep-ml-2019/ ----------------------------------------------------------------------------- Deep learning and machine learning are the state-of-the-art at providing models, methods, tools and techniques for developing autonomous and intelligent systems which can revolutionize industrial and commercial applications in various fields such as online commerce, intelligent transportation, healthcare and medicine, security, manufacturing, education, games, and various other industrial applications. Google, for example, exploits the techniques of deep learning in voice and image recognition applications, while Amazon uses such techniques in helping customers in their online purchase decisions. The International Conference on Deep Learning and Machine Learning in Emerging Applications (Deep-ML) provides a leading forum for researchers, developers, practitioners, and professional from public sectors and industries in order to meet and share latest solutions and ideas in solving cutting edge problems in modern information society and economy. The conference comprises a set of tracks that focus on specific challenges in deep learning and machine learning and their applications in emerging areas. Topics of interest include, but are not limited to, the following: 1) Deep and Machine Learning Models and Techniques: Novel machine and deep learning Active learning; Incremental learning and online learning Agent-based learning; Manifold learning Multi-task learning Bayesian networks and applications Case-based reasoning methods Statistical models and learning Computational learning; Evolutionary algorithms and learning Evolutionary neural networks Fuzzy logic-based learning Genetic optimization Clustering, classification and regression Neural network models and learning Parallel and distributed learning Reinforcement learning Supervised, semi-supervised and unsupervised learning Tensor Learning 2) Deep and Machine Learning for Big Data Analytics: Deep/Machine learning based theoretical and computational models Novel techniques for big data storage and processing Data analysis, insights and hidden pattern Data analysis and decision making Data wrangling, munching and cleaning Data integration and fusion Data visualization Data and information quality, efficiency and scalability Security threat detection using big data analytics Visualizing security threats Enhancing privacy and trust Data analytics in complex applications – finance, business, healthcare, engineering, medicine, law, transportation, and telecommunication 3) Deep and Machine Learning for Data Mining and Knowledge: Data mining in the web and online systems Multimedia; images and video data mining Feature extraction and classification Information retrieval and extraction Distributed and P2P data search Sentiment analysis Mining high velocity data streams Anomaly detection in streaming data Mining social media and social networks Mining sensor and computer networks data Mining spatial and temporal datasets Data classification, clustering, and association Knowledge acquisition and learning Knowledge representation and reasoning Knowledge discovery in large datasets 4) Deep and Machine Learning Application Areas: Bioinformatics and biomedical informatics Finance, business and retail Intelligent transportation Healthcare, medicine and clinical decision support Computer vision Human activity recognition Information retrieval and web search Cybersecurity Natural language processing Recommender systems Social media and networks 5) Deep and Machine Learning for Computing and Network Platforms: Network and communication systems Software defined networks Wireless and sensor networks Internet of Things (IoT) Cloud Computing Edge and Fog Computing Paper Submission: Full papers must be in English and should be between 12 to 14 pages. Short papers should be limited to 8 pages. Papers must be formatted in Springer's LNCS format. Submitted research papers may not overlap with papers that have already been published or that are simultaneously submitted to a journal or a conference with proceedings. ORGANISING COMMITTEE General Co-Chairs: Joao Gama, University of Porto, Portugal Edwin Lughofer, Johannes Kepler University Linz, Austria Program Co-Chairs: Irfan Awan, University of Bradford, UK Hadi Larijani, Glasgow Caledonian University, UK Local Organising Co-Chairs: Perin Ünal, Teknopar, Turkey Sezer Gören, Ugurdag Yeditepe University, Turkey Tacha Serif, Yeditepe University, Turkey Publication Chair: Muhammad Younas, Oxford Brookes University, UK Journal Special Issue Coordinator: Lin Guan, Loughborough University, UK Workshop Coordinator: Filipe Portela, University of Minho, Portugal Publicity Chair: Esra N. Yolaçan, Osman Gazi University, Turkey

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CFP: 5th ACM Cyber-Physical System Security Workshop (CPSS 2019), co-located with ACM AsiaCCS'19
by roman 31 Jan '19

31 Jan '19

=============================================== 5th ACM Cyber-Physical System Security Workshop ----------------------------------------------- Held in conjunction with ACM AsiaCCS'19 Auckland, New Zealand ----------------------------------------------- http://jianying.space/cpss/CPSS2019/ Important Dates Submission due: March 1, 2019 Notification: April 10, 2019 Camera-ready due: April 30, 2019 =============================================== Cyber-Physical Systems (CPS) of interest to this workshop consist of large-scale interconnected systems of heterogeneous components interacting with their physical environments. There exist a multitude of CPS devices and applications deployed to serve critical functions in our lives thus making security an important non-functional attribute of such systems. This workshop will provide a platform for professionals from academia, government, and industry to discuss novel ways to address the ever-present security challenges facing CPS. We seek submissions describing theoretical and practical solutions to security challenges in CPS. Submissions pertinent to the security of embedded systems, IoT, SCADA, smart grid, and other critical infrastructure are welcome. Topics of interest include, but are not limited to: - Attack detection for CPS - Authentication and access control for CPS - Autonomous vehicle security - Availability and auditing for CPS - Blockchain for CPS security - Data security and privacy for CPS - Digital twins for CPS - Embedded systems security - Formal methods in CPS - Industrial control system security - IoT security - Legacy CPS system protection - Lightweight crypto and security - Maritime cyber security - Recovery from cyber attacks - Security and risk assessment for CPS - Security architectures for CPS - Security by design for CPS - Smart grid security - Threat modeling for CPS - Transportation system security - Vulnerability analysis for CPS - Wireless sensor network security Submission Instructions ----------------------- Submitted papers must not substantially overlap papers that have been published or that are simultaneously submitted to a journal or a conference with proceedings. All submissions should be appropriately anonymized. Submissions must be in double-column ACM SIG Proceedings format, and should not exceed 12 pages. Position papers describing the work in progress are also welcome. Only pdf files will be accepted. Authors of accepted papers must guarantee that their papers will be presented at the workshop. At least one author of the paper must be registered at the appropriate conference rate. Accepted papers will be published in the ACM Digital Library. There will also be a best paper award. Paper submission site: https://easychair.org/conferences/?conf=cpss19 Contact ------- Email: cpss19(a)easychair.org CPSS Home: http://jianying.space/cpss/CPSS2019/ Committees ---------- - Steering Committee Dieter Gollmann (Hamburg University of Technology, Germany) Ravishankar Iyer (UIUC, USA) Douglas Jones (UIUC, USA) Javier Lopez (University of Malaga, Spain) Jianying Zhou (SUTD, Singapore) – Chair - Program Chairs Aditya Mathur (Purdue University, USA & SUTD, Singapore) Jianying Zhou (SUTD, Singapore) - Publicity Chair Rodrigo Roman (University of Malaga, Spain) - Publication Chair Weizhi Meng (DTU, Denmark) - Program Committee Cristina Alcaraz (University of Malaga, Spain) Alvaro Cardenas (UT Dallas, USA) Mauro Conti (University of Padua, Italy) Gregorio D'Agostino (ENEA, Italy) Roberto Di Pietro (HBKU, Qatar) Afonso Ferreira (CNRS-IRIT, France) Yanick Fratantonio (EURECOM, France) Joaquin Garcia-Alfaro (Telecom SudParis, France) Stefanos Gritzalis (University of the Aegean, Greece) Sokratis Katsikas (NTNU, Norway) Huy Kang Kim (Korea University, Korea) Kandasamy Nandha Kumar (SUTD, Singapore) Qi Li (Tsinghua University, China) Hoon Wei Lim (SingTel, Singapore) Bo Luo (University of Kansas, USA) Xiapu Luo (Hong Kong Polytechnic University, HK) Michail Maniatakos (NYU-Abu Dhabi, UAE) Daisuke Mashima (ADSC, Singapore) Weizhi Meng (DTU, Denmark) Simin Nadjm-Tehrani (Linköping University, Sweden) Martín Ochoa (Universidad del Rosario, Colombia) Axel Poschmann (DarkMatter, UAE) Rodrigo Roman (University of Malaga, Spain) Justin Ruths (UT Dallas, USA) Martin Strohmeier (University of Oxford, UK) Jun Sun (SUTD, Singapore) Qiang Tang (LIST, Luxembourg) William Temple (ADSC, Singapore) Indrajiti Ray (Colorado State University, USA) Sicco Verwer (TU Delft, Netherland) Zheng Yang (SUTD, Singapore) Fan Zhang (Zhejiang University, China) Sencun Zhu (Pennsylvania State University, USA) Saman Zonouz (Rutgers University, USA)

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Call For Paper "Journal of Real Time Image Processing"
by POURYA SHAMSOLMOALI 31 Jan '19

31 Jan '19

Dear Colleague, As you are an expert in real-time image processing. I warmly invite you to submit your papers to the following Special Issue. https://static.springer.com/sgw/documents/1650125/application/pdf/CALL+FOR+… Looking forward to receiving your papers Best Regards -- Pourya Shamsolmoali, PhD Institute of Image Processing & Pattern Recognition Shanghai Jiao Tong University, Shanghai, China. Email: pshams(a)sjtu.edu.cn

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The 16th International Conference on Mobile Web and Intelligent Information Systems (MobiWis 2019) Springer, LNCS 26-28 August 2019, Istanbul, Turkey
by Aneta Poniszewska-Marańda 31 Jan '19

31 Jan '19

------------------------ Call for Papers ----------------------------- The 16th International Conference on Mobile Web and Intelligent Information Systems (MobiWis 2019) Springer, LNCS 26-28 August 2019, Istanbul, Turkey http://www.mobiwis.org/2019/ ----------------------------------------------------------------------------- The areas of the Web, mobile technologies, and information systems have been following a continuous and steady development over a number of years through the innovative research and practices of researchers, developers and practitioners from academia, industry, governmental and scientific organizations. The International Conference on Mobile Web and Intelligent Information Systems (MobiWis) aims to enable synergy between these areas and provides the premier venue to present and discuss latest research and developments related to research issues of the mobile web and the engineering of intelligent and innovative mobile systems and services. The conference comprises a set of carefully selected tracks that focus on the particular challenges regarding mobile Web and intelligent information systems in research areas such as, among others, Web Engineering, Service-Oriented Computing, Web of Things, Data and Knowledge Management, Cloud Computing, Security and Human-Computer Interaction. Conference Tracks: - Smart and Intelligent Systems - Mobile Software Systems - Adaptive Approaches for Mobile Computing - Middleware/SOA for Mobile Systems - Context- and Location-aware Services - Pervasive and Ubiquitous Applications - Data management in the Mobile Web - Mobile Cloud Services - Mobile Web of Things - Mobile Web Security, Trust and Privacy - Mobile Networks, Protocols and Applications - Mobile Commerce and Business Services - Socially Influencing Systems - HCI in Mobile Applications - Industry and Demos Important Dates: Submission Deadline: 11 March 2019 Authors Notification: 20 May 2019 Final Manuscript Due: 14 June 2019 Submission Instructions: Full papers must be in English and must not exceed 12 pages. Short papers should be limited to 8 pages. Papers should be formatted in Springer's LNCS format. See submission instructions on the conference website. Publication: All accepted papers will be included in the conference proceedings published by Springer in the Lecture Notes in Computer Science (LNCS) series. For each accepted paper, at least one author must register for the conference and present the paper. Authors of selected papers will be invited to submit an extended version of their papers for a special issues in international journals (see conference website). Lecture Notes in Computer Science (LNCS) series is indexed by the ISI Conference Proceedings Citation Index - Science (CPCI-S), included in ISI Web of Science, EI Engineering Index (Compendex and Inspec databases), ACM Digital Library, dblp, Google Scholar, Scopus, etc. See LNCS - Information on Abstracting and Indexing (http://www.springer.com/computer/lncs?SGWID=0-164-6-1068921-0) Organizing Committee: General Co-Chairs: Markus Aleksy, ABB, Germany Perin Unal, Teknopar, Turkey Program Co-Chairs: Irfan Awan, University of Bradford, UK Mohammed Ghazal, Abu Dhabi University, UAE Local Organising Co-Chairs: Sezer Gören Ugurdag, Yeditepe University, Turkey Tacha Serif, Yeditepe University, Turkey Publication Chair: Muhammad Younas, Oxford Brookes University, UK Journal Special Issue Coordinator: George Ghina, Brunel University London, UK Workshop Coordinator: Tor-Morten Grřnli, Kristiania University College, Norway Publicity Chair: Aneta Poniszewska-Maranda, Lodz University of Technology, Poland --- Politechnika Łódzka Lodz University of Technology Treść tej wiadomości zawiera informacje przeznaczone tylko dla adresata. Jeżeli nie jesteście Państwo jej adresatem, bądź otrzymaliście ją przez pomyłkę prosimy o powiadomienie o tym nadawcy oraz trwałe jej usunięcie. This email contains information intended solely for the use of the individual to whom it is addressed. If you are not the intended recipient or if you have received this message in error, please notify the sender and delete it from your system.

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[CFP] GrAPL 2019 - DEADLINE EXTENDED TO FEBRUARY 8
by Tumeo, Antonino 30 Jan '19

30 Jan '19

[Apologies if you receive multiple copies of this CFP] ----------------------------- !!!!! DEADLINE EXTENDED TO FEBRUARY 8, 2019 !!!!! ----------------------------- GrAPL 2019: Workshop on Graphs, Architectures, Programming, and Learning http://hpc.pnl.gov/grapl Co-Located with IPDPS 2019 May 20, 2019 Hilton Rio De Janeiro Brazil ----------------------------- GrAPL is the result of the combination of two IPDPS workshops: GABB: Graph Algorithms Building Blocks GraML: Workshop on The Intersection of Graph Algorithms and Machine Learning ----------------------------- Data analytics is one of the fastest growing segments of computer science. Much of the recent focus in Data Analytics has emphasized machine learning. This is understandable given the success of deep learning over the last decade. However, many real-world analytic workloads are a mix of graph and machine learning methods. Graphs play an important role in the synthesis and analysis of relationships and organizational structures, furthering the ability of machine-learning methods to identify signature features. Given the difference in the parallel execution models of graph algorithms and machine learning methods, current tools, runtime systems, and architectures do not deliver consistently good performance across data analysis workflows. In this workshop we are interested in Graphs, how their synthesis (representation) and analysis is supported in hardware and software, and the ways graph algorithms interact with machine learning. The workshop’s scope is broad which is a natural outgrowth of the wide range of methods used in large-scale data analytics workflows. The objectives of this workshop are as follows: * Understand data analytics workflows and the mix of graph and machine learning algorithms they require * Understand the synergies between evolving device technology and graph analytics applications to drive: 1) the direction of emerging hardware and software architecture, 2) new graph analytics algorithms that better exploit the emerging hardware; and 3) application workflows that mix the large graph synthesis and analytics and machine learning. * Explore different frameworks, languages and libraries to support programming graph analytics and machine learning algorithms * Evaluate the performance and scalability of integrated platforms for large graph synthesis and analysis, and machine learning While each of these topics on their own are well addressed in other workshops, we are particularly interested in the cross-cutting synergies. For example, hardware and software architectures specialized for machine learning (and in particular deep learning) may be poorly suited for graph algorithms. Can we understand these conflicting needs and perhaps find an architecture jointly optimized for both? This workshop seeks papers on the theory, model-based analysis, simulation, and analysis of operational data for graph analytics and related machine learning applications. We are particularly interested in papers that: * Discuss hardware platforms specialized for addressing large, dynamic, multi-attributed graphs and associated machine learning; * Discuss programming models and associated frameworks such as Pregel, Galois, Boost, GraphBLAS, GraphChi, etc., for building large multi-attributed graphs; * Discuss how frameworks for building graph algorithms interact with those for building machine learning algorithms; * Discuss the problem domains and problems addressable with graph methods, machine learning methods, or both; * Provide tractability performance analysis in terms of complexity, time-to-solution, problem size, and quality of solution for systems that deal with mixed data analytics workflows. Besides regular papers, papers describing work-in-progress or incomplete but sound, innovative ideas related to the workshop theme are also encouraged. ----------------------------- Important Dates ----------------------------- Position or full paper submission: February 8, 2019 (EXTENDED) Notification: February 28, 2019 Camera-ready: March 15, 2019 Workshop: May 20, 2019 ----------------------------- Submissions ----------------------------- Submission site: https://easychair.org/conferences/?conf=grapl2019 Submitted manuscripts may not exceed ten (10) pages, single-spaced double-column pages using 10-point size font on 8.5x11 inch pages (IEEE conference style), including figures, tables, and references. The templates are available at: http://www.ieee.org/conferences_events/conferences/publishing/templates.html. ----------------------------- Organization ----------------------------- General co-Chairs Tim Mattson (Intel), timothy.g.mattson(a)intel.com Antonino Tumeo (PNNL), antonino.tumeo(a)pnnl.gov Program co-Chairs Ananth Kalyanaraman (WSU), ananth(a)wsu.edu Manoj Kumar (IBM), manoj1(a)us.ibm.com Steering Committe David A. Bader (Georgia Institute of Technology) Aydın Buluç (LBNL) John Feo (PNNL) John Gilbert (UC Santa Barbara) Mahantesh Halappanavar (PNNL) Jeremy Kepner (MIT Lincoln Laboratory) Technical Program Committee Aydin Buluç, LBNL, US Timothy A. Davis, University of Florida, US Jana Doppa, Washington State University, US John Gilbert, University of California at Santa Barbara, US Oded Green, Georgia Institute of Technology & NVIDIA, US Jeremy Kepner, MIT, US Arif Khan, PNNL, US Hao Lu, ORNL, US Kamesh Madduri, The Pennsylvania State University, US Rupesh Nasre, IIT Madras, IN John Owens, University of California, Davis, US Arnau Prat, Universitat Politècnica de Catalunya, ES Jason Riedy, Georgia Institute of Technology, US P. Sadayappan, The Ohio State University, US A. Erdem Sarıyüce, University at Buffalo, US Arun Sathanur, PNNL, US Brian Van Essen, LLNL, US Flavio Vella, Free University of Bozen, IT Yangzihao Wang, Tencent, CN Marinka Zitnik, Stanford University, US Jaroslaw Zola, University at Buffalo, US

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Call for Papers and Presentations - Maple Conference 2019
by Maplesoft 30 Jan '19

30 Jan '19

Hello, It is my pleasure to announce the return of the Maple Conference! On October 15-17th, in Waterloo, Ontario, we will gather a group of Maple enthusiasts, product experts, and customers, to explore and celebrate the different aspects of Maple. In preparation for the Maple Conference 2019 we are seeking papers and extended abstracts (presentation proposals). We welcome topics falling into the broad categories of Maple in Education, Algorithms and Software, and Applications of Maple. You can learn more about the event, and see further presentaiton subjects, by reviewing the attached brochure, or visiting the conference website: https://www.maplesoft.com/mapleconference/ Sincerely, Your Friends at Maplesoft (c) 2019 Maplesoft, a division of Waterloo Maple Inc., 615 Kumpf Drive Waterloo ON Canada N2V1K8; customerservice(a)maplesoft.com. All trademarks are property of their respective owners. To manage subscriptions or to opt out of all commercial email communications from Maplesoft, please click here.

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computational.science January 2019