*********************************************************************************** CALL FOR PAPERS EBDMA 2017 1st Workshop on the Integration of Extreme Scale Computing and Big Data Management and Analytics Held in conjunction with IEEE/ACM CCGrid 2017 May 14-17, 2017- Madrid, Spain Submission Deadline: January 23, 2017 *********************************************************************************** *WORKSHOP DESCRIPTION: The deployment of extreme scale computing platforms in research and industry coupled with the proliferation of large and distributed digital data sources have the potential for unprecedented insights and understanding in all areas of science, engineering, business, and society in general. However challenges related to the Big Data generated and processed by these systems remain a significant barrier in achieving this potential. Addressing these challenges requires a seamless integration of the extreme scale/high performance computing, cloud computing, storage technologies, data management, energy efficiency, and big data analytics research approaches, framework/technologies, and communities. The convergence and integration of HPC, cloud computing and data analysis is crucial to the future. To achieve this goal, both communities need to collectively explore and embrace emerging disruptions in architecture and hardware technologies as well as new data-driven application areas such as those enabled by the Internet of Things. Finally, educational and workforce development structures have to evolved to develop the required integrated skillsets. The goal of this workshop is to bring leading researchers from these communities together to jointly explore such integration, and to develop a research agenda towards brings the diverging research groups and technologies stack toward a more convergent path. The workshop provides a forum for scientists and engineers in academia and industry to present their latest research findings on major and emerging topics in this field. *TOPICS OF INTEREST: A partial list of topics of interest is as follows: Models and techniques for scalable data analysis Extreme data discovery solutions HPC and extreme scale platforms for Big Data analytics Exascale data analysis programming abstractions and services Parallel and distributed Big Data analysis algorithms Data analysis as a service infrastructure Code coordination and data integration on HPC platforms Interoperability of Big Data analytics frameworks Adaption of data mining algorithms on extreme scale systems Data-centric scalable programming tools and algorithms High-performance and Big Data analytics frameworks, programming models, and tools Leveraging processing, storage and communications technologies (multi/many-core architectures, accelerators, RDMA-enabled networking, NVRAMs and SSDs) in integrated HPC Big Data applications Performance modeling and evaluation of integrated HPC Big Data applications Fault tolerance, reliability and availability for high-performance Big Data computing New storage devices for Big Data management in HPC and Clouds Security issues in Big Data analysis and management in HPC and Clouds Energy-efficiency issues in Big Data analysis and management in HPC and Clouds Stream data processing in HPC and Clouds Case studies of data-intensive applications in HPC and Clouds Scheduling and provisioning data analytics on hybrid Cloud and HPC infrastructure *WORKSHOP CHAIRS: Shadi Ibrahim, Inria, France Manish Parashar, Rutgers University, USA Anna Queralt, Barcelona Supercomputing Center, Spain Domenico Talia, University of Calabria, Italy *PROGRAM COMMITTEE: Ilkay Altintas, SDSC/UCSD, USA Andre Brinkmann, Johannes Gutenberg-UniversitŠt Mainz, Germany Gene Cooperman, Northeastern University, USA Alexandru Costan, Inria Rennes, France Frederic Desprez, Inria, France Simon Dobson, University of St Andrews, UK Jack Dongarra, University of Tennessee, USA Matthieu Dorier, Argonne National Laboratory, USA Bingsheng He, National University of Singapore, Singapore Hai Jin, Huazhong University of Science and Technology, China Scott Klasky, Oak Ridge National Laboratory, USA Dieter Kranzlmueller, Ludwig-Maximilians-Universitaet Muenchen, Germany Michael Kuhn, University of Hamburg, Germany Adrien Lebre, Inria Ecole des Mines, France Laurent Lefevre, Inria, France Manolis Marazakis, Instutute of Computer Science, FORTH, Greece Ram—n Nou, Barcelona Supercomputing Center, Spain Anne-CŽcile Orgerie, Centre National de la Recherche Scientifique, France Dana Pectu, West University of Timisoara, Romania Maria Perez, Universidad Politecnica de Madrid, Spain Depei Qian, Beihang University, China Rob Ross, Argonne National Laboratory, USA Paolo Trunfio, University of Calabria, Italy Vladimir Vlassov, KTH Royal Institute of Technology, Sweden Amelie Chi Zhou, Inria Rennes, France *PAPER SUBMISSION: All papers need to be submitted electronically through the CCGrid 2017 conference website (https://www.easychair.org/conferences/?conf=ccgrid2017) with PDF format. Note that you have to select the track EBDMA 2017 at the beginning of the submission procedure. Submitted papers must not substantially overlap with papers that have been published or that are simultaneously submitted to a journal or a conference with proceedings. Papers must be clearly presented in English, and may not exceed 8 letter-size (8.5 x 11) pages including all figures, tables and references using the IEEE format for conference proceedings. Submitted papers must represent original and unpublished work, that is not currently under review. All manuscripts will be evaluated according to their significance, originality, technical content, style, clarity, quality of presentation, and relevance to the workshop. At least one author of each accepted paper is expected to attend the workshop. *PUBLICATION: All papers accepted and presented at the EBDMA 2017 workshop will be published in the IEEE/ACM CCGrid conference proceedings, and will be submitted to IEEE Xplore for publication and EI indexing. *JOURNAL SPICIAL ISSUE: Authors of the best technical papers will be invited to submit an extended version of their work to the special issue on the Integration of Extreme Scale Computing and Big Data Management and Analytics of IEEE Transactions on Big Data (https://www.computer.org/web/tbd).