August 2018 - computational.science

*Deadline extension (Aug.10)* JIST2018:The 8th Joint International Semantic Technology Conference (Nov. 26-28, Awaji City, Hyogo, Japan)
by Kouji Kozaki 04 Aug '18

04 Aug '18

We have extended the deadline because we received many requests. The new deadline is as follow. -Abstract submission: 23:59 (Hawaii Time), 10 August, 2018 -Full paper submission: 23:59 (Hawaii Time), 17 August, 2018 Please consider to submit your paper! -------------------------------------------------------------------- *** Call for Papers: JIST 2018 Regular Technical Papers *** JIST2018: The 8th Joint International Semantic Technology Conference Nov. 26-28, 2018, Awaji City, Hyogo, Japan. http://jist2018.knowledge-graph.jp * Abstract submission due: 10 August, 2018 <extended> * Paper submission due: 17 August, 2018 <extended> -------------------------------------------------------------------- The mission of the Joint International Semantic Technology Conference (JIST) is to bring together researchers in the Semantic Technology research community and other areas of semantic-related technologies to present their innovative research results or novel applications of semantic technologies. There are two tracks in JIST 2018 for Regular Technical Papers. *** Research Track *** JIST 2018 research track solicits submissions of original research work on semantic technologies. Topics of interest include, but are not limited to: -Ontology and reasoning -Knowledge graph -Linked Data -Big Data and semantics, exchange and integration -Data streams and the Internet of Things -Machine learning and information extraction on the Semantic Web -Semantic Web services and processes -Trust, privacy, and security on the Semantic Web -Social Semantic Web -Natural language processing and semantics -Semantic multimedia -Novel applications of semantic technologies *** Special Session Track *** JIST 2018 special session track to discover and implement special topics that researchers in Semantic Technology are particularly interested in. We also intend to facilitate participation of potentially-related researchers in the JIST conference. Topics of special sessions are as follows: - Special Session on Government Open Data http://jist2018.knowledge-graph.jp/pages/calls/government_open_data.html - Special Session on Question Answering and ChatBots http://jist2018.knowledge-graph.jp/pages/calls/qa_chatbots.html - Special Session on Resource-aware Semantic Technologies http://jist2018.knowledge-graph.jp/pages/calls/resource-aware_semantic_tech… - Special Session on Semantic Web for Life Sciences http://jist2018.knowledge-graph.jp/pages/calls/sw_for_life_sciences.html *** Important Dates *** -Abstract submission: 23:59 (Hawaii Time), 10 August, 2018 <Extended> -Full paper submission: 23:59 (Hawaii Time), 17 August, 2018 <Extended> -Notification of Acceptance: 14 September, 2018 -Camera-ready Deadline: 24 September, 2018 -Conference: 26-28 November, 2018 *** Submission *** Submissions to JIST 2018 should describe original, significant research on semantic technologies. JIST 2018 will not accept submissions that are under review for or have already been published in or accepted for publication in a journal or another conference (*). * Non peer-reviewed documents such as theses, tech reports, publications on preprint server (e.g. arXiv.org) are not considered prior publications. Thus JIST2018 authors are not precluded to submit papers on the same topic by the same authors. Submissions to JIST 2018 are expected to present their claimed contribution, with clear evidence to support their claims. All submissions will be critically reviewed by at least three members of the program committee of either research track or special session track. To assess submissions, reviewers will judge their relevance to semantic technologies, their originality, the technical soundness of their proposed approach and the readability of the submission. JIST 2018 submissions are not anonymous. Submissions must be in PDF format, using the style of the Springer Publications format for Lecture Notes in Computer Science (LNCS). Regular paper submissions must be no longer than 16 pages, and short paper submissions must be no longer than 8 pages. Submissions that exceed this limit may be rejected without review. Accepted papers of both research track and special session track will be published in an LNCS proceedings. At least one author of each accepted paper must register for the conference and present the paper there. Papers can be submitted electronically via EasyChair. https://easychair.org/conferences/?conf=jist2018 * Please select the corresponding track(s) when you submit your paper(s). *** Recommendation to Journal *** A number of best papers accepted at JIST 2018 will be invited to present at the Meet the Editor session of SCI indexed journals, including International Journal on Semantic Web and Information Systems (IJSWIS), for fast-track publication in a special issue in these journals. Up to five papers will be selected and published. *** Organizing Committee *** -General Chairs Stephen Muggleton, Imperial College London, UK Kouji Kozaki, Osaka University, Japan -Program Chairs Ryutaro Ichise, National Institute of Informatics, Japan Freddy Lecue, Accenture Labs, Dublin, Ireland / INRIA, Sophia Antipolis, France -Special Session Track Chairs Dongyan Zhao, Peking University, China Takahiro Kawamura, Japan Science and Technology Agency, Japan -Local Organizing Chair Atsuko Yamaguchi, Database Center for Life Science, Japan -Poster and Demo Chairs Hanmin Jung, KISTI, Korea Shinichi Nagano, TOSHIBA corp., Japan -Workshop Chairs Marut Buranarach, NECTEC, Thailand Ikki Omukai, National Institute of Informatics, Japan -Tutorial Chairs Naoki Fukuta, Shizuoka University, Japan -Sponsorship Chair Takanori Ugai, Fujitsu Laboratories, Japan -Publicity Chairs Takeshi Morita, Keio University, Japan Guohui Xiao, Free University of Bozen-Bolzano, Italy -------------------------------------------------------------------- JIST 2018 Organize Committee Website: http://jist2018.knowledge-graph.jp/ Twitter: @jist2018 Contact: JIST2018<at>knowledge-graph.jp

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Job Openings: Postdoctoral Research Fellow & Research Assistant at University Research Cluster on Data Analytics and Artificial Intelligence (AI) in X of HKBU
by COMP HKBU 03 Aug '18

03 Aug '18

The university research cluster on Data Analytics and Artificial Intelligence (AI) in X <http://hkbu.ai/> of Hong Kong Baptist University (HKBU) <http://www.hkbu.edu.hk/> is developing cutting-edge technologies on AI towards interdisciplinary research. The university’s AI cluster is now seeking outstanding applicants for the posts of Postdoctoral Research Fellow and Research Assistant to work on a collaborative project between the Department of Computer Science and School of Chinese Medicine. The aim of the project is to develop computational methods to explicitly model the multi-level regulatory network evolution in inflammation-induced cancer by analysing multiple, heterogeneous ‘omics’ data. *1. Postdoctoral Research Fellow (PR0029/18-19) * The primary responsibilities for the candidates are to develop novel algorithms to model and analyse evolving multi-level regulatory network. The candidates are expected to have a PhD degree in computer science, electronic engineering, bioinformatics or a related field and sufficiently demonstrate abilities to conduct high-quality research in one of the following areas: (i) probabilistic graphical model; (ii) evolving network/graph analytics and mining; (iii) biomedical data mining. Proficiency in data mining and machine learning techniques and programming (e.g., Python, R, or MATLAB) is essential. Experience with ‘omics’ data analysis is a plus. Applicants should demonstrate great oral and written communication skills and the ability to effectively work in a multidisciplinary research team. Initial appointment will be made on a fixed term contract of up to two years, starting in the Fall of 2018. Re-appointment thereafter is subject to mutual agreement and availability of funding. *2. Research Assistant (PR0030/18-19) * The primary responsibilities for the candidates are to collect, preprocess ‘omics’ data and implement and evaluate proposed algorithms. The candidates are expected to have a BSc degree in computer science, electronic engineering, bioinformatics or a related field. Familiar with major data mining and machine learning techniques is required. Solid programing skills in one of the following languages: Java, C/C++, Python, R, MATLAB are essential. Experience with ‘omics’ data processing is a plus. Initial appointment will be made on a fixed term contract of one year, starting in the Fall of 2018. Re-appointment thereafter is subject to mutual agreement and availability of funding. For enquiry, please contact Dr. William Cheung (email: william [at] comp.hkbu.edu.hk). More information about the AI cluster can be found at http://hkbu.ai. *Salary will be commensurate with qualifications and experience.* *Application Procedure:* Applicants are invited to submit their applications at the HKBU e-Recruitment System (jobs.hkbu.edu.hk). Applicants not invited for interview 8 weeks after the closing date may consider their applications unsuccessful. Details of the University’s Personal Information Collection Statement can be found at http://pers.hkbu.edu.hk/pics. The University reserves the right not to make an appointment for the posts advertised, and the appointment will be made according to the terms and conditions then applicable at the time of offer. *Closing date: 31 August 2018 *or until the position is filled Application Links: Postdoctoral Research Fellow (PR0029/18-19) : http://pers.hkbu.edu.hk/index.php?page_id=6&job_id=4358&f=job_details Research Assistant (PR0030/18-19): http://pers.hkbu.edu.hk/index.php?page_id=6&job_id=4359&f=job_details

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High performance computing hardware workshop Bristol, UK - Call for Participation
by Jose Nunez-Yanez 03 Aug '18

03 Aug '18

11th of September, Bristol University, UK. Part of the Marionet UK Many-core Research Network This 1-day workshop includes invited presentations from industry and academia investigating how issues of performance and power have resulted in significant efforts done in new accelerator hardware designs and new ways to use available hardware originally not designed for HPC. Examples include novel use of embedded multi-core CPUs and hardware accelerators based on GPUs and FPGAs. Domain specific CPU architectures capable of delivering performance and ease of programmability are also the focus of intensive research and development together with innovative programming models and algorithms exploiting HPC hardware or software. The demand of techniques to handle the debugging and optimization of these systems are also increasing as the human capability of understanding complex software/hardware interactions reaches its limit. CALL FOR PARTICIPATION https://seis.bristol.ac.uk/~eejlny/nghpc/eehco.htm<https://fpl2018.org/> *************************************************************************** Registration Link (free, includes refreshments and lunch) https://www.eventbrite.com/e/workshop-on-next-generation-hardware-for-high-…<https://fpl2018.org/registration/> Workshop program is available at: https://seis.bristol.ac.uk/~eejlny/nghpc/program.htm Thanks, Jose Nunez-Yanez

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Bench'18 (Co-located with IEEE Big Data 2018) Call for Papers
by gaowanling 03 Aug '18

03 Aug '18

---Apologies if you receive multiple copies of this CFP--- Bench'18 (2018 International Symposium on Benchmarking, Measuring and Optimizing) Call for Papers URl: http://prof.ict.ac.cn/Bench18 Co-located with IEEE Big Data 2018 December 10-13, 2018, Seattle, WA, USA Introduction Benchmarking, measuring, and optimizing are fundamental activities in human being’s lives. This symposium (Bench 18) is dedicated to benchmarking, measuring, and optimizing complex systems, including (but not limited to) Big Data, AI, chainblock, datacenter, cloud and warehouse-scale computing, high performance computing, Mobile Robotics, edge and frog computing，Big Scientific data, IoT, and the other miscellaneous things, i.e., education systems, financial systems, and power systems. In addition, we encourage publishing benchmark specifications and the summaries of the open-source benchmarking projects. Improtant Dates There are two submission opportunities: Deadline for authors who need a U.S. visa TimeEvent August 20, 2018Electronic submission of full papers Oct 9, 2018Notification of paper acceptance Nov 25, 2018Camera-ready of accepted papers Dec 10-12, 2018Conference Deadline for authors who do not need a U.S. visa TimeEvent Sep 20, 2018Electronic submission of full papers Nov 9, 2018Notification of paper acceptance Nov 25, 2018Camera-ready of accepted papers Dec 10-12, 2018Conference Paper Submission https://wi-lab.com/cyberchair/2018/bigdata18/scripts/submit.php?subarea=SP0… Papers should be no more than 10 pages, and be formatted to IEEE Computer Society Proceedings Manuscript Formatting Guidelines (see link to "formatting instructions" below). Formatting Instructions 8.5" x 11" (DOC,PDF) LaTex Formatting Macros Topics of Interest We solicit papers in all areas related to benchmarking, measuring, and optimizing systems. Topics of interest include (but are not limited to): Big data domains Artificial intelligence NewSQL and distributed database systems Blockchain Datacenter, cloud and warehouse-scale computing High performance computing Mobile Robotics Edge and fog computing Big scientific data Internet of Things (IoT) Education, financial and power system Program Committee Lizy K. John, The University of Texas at Austin USA Vijay Janapa Reddi, University of Texas at Austin USA and Google Wenguang Chen, Tsinghua University China Yunji Chen, ICT, CAS China Piotr Luszczek, University of Tennessee USA Rui Hou, Institute of Information Engineering, CAS China Yueguo Chen, Renmin University of China H. Peter Hofstee, IBM USA Cheqing Jin, East China Normal University China Junzhao Du, Xidian University China Hyogi Sim, Oak Ridge National Laboratory USA Weining Qian, East China Normal University China Zheng Cao, Alibaba China Matthias Nicola, IBM Germany Zhihui Du, Tsinghua University China Bin Ren, College of William and Mary USA Hua Chen, ICT, CAS China Jiaquan Gao, Nanjing Normal University China Jiannan Ouyang, Facebook USA Xueming Si, Fudan University China Yanjun Wu, Institute of Software Chinese Academy of Sciences China Lucas Mello Schnorr, Federal University of Rio Grande do Sul (UFRGS) Brazil Yunquan Zhang, ICT, CAS China Shengzhong Feng, Shenzhen Institutes of Advanced Technology, CAS China Zhen Jia, Princeton University USA Zhibin Yu, Shenzhen Institutes of Advanced Technology, CAS China Dapeng Wang, Institute of Software Chinese Academy of Sciences China Bo Wu, Colorado School of Mines USA Shaoliang Peng, National University of Defense Technology China Yong Qi, Xi'an jiaotong University China Gwangsun Kim, Arm Inc., Austin, Texas USA Zujie Ren, Hangzhou Dianzi University China Xiaoyi Lu, The Ohio State University USA Lei Wang, ICT, CAS China Jianhui Li, Computer Network Information Center, CAS China Jianwu Wang, University of Maryland, Baltimore County USA Kenli Li, Hunan University China Rui Han, ICT, CAS China Jungang Xu, Chinese academy of sciences China Xu Liu, College of William and Mary USA Tong Wu, National Institute of Metrology, China Li ZHA, University of the Chinese Academy of Sciences Lei Liu, ICT, CAS China

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4th Workshop on Heterogeneous High-performance Reconfigurable Computing (H2RC 2018) at SC18: Extended abstracts due Aug. 15
by Jason D. Bakos 02 Aug '18

02 Aug '18

========================================================================== ** Call for Papers ** ========================================================================== Fourth International Workshop on Heterogeneous High-performance Reconfigurable Computing (H^2RC) ========================================================================== Held in conjunction with Supercomputing 2018 Sunday Morning, November 11, 2018 Dallas, TX http://h2rc.cse.sc.edu ========================================================================== Submission Deadline: August 15, 2018 (1 to 4 page extended abstracts) ========================================================================== As conventional von-Neumann architectures are suffering from rising power densities, we are facing an era with power, energy efficiency, and cooling as first-class constraints for scalable HPC. FPGAs can tailor the hardware to the application, avoiding overheads and achieving higher hardware efficiency than general-purpose architectures. Leading FPGA manufacturers have recently made a concerted effort to provide a range of higher-level, easier to use high-level programming models for FPGAs. Such initiatives are already stimulating new interest within the HPC community around the potential advantages of FPGAs over other architectures. With this in mind, this workshop, now its fourth year, brings together HPC and heterogeneous-computing researchers to demonstrate and share experiences on how newly-available high-level programming models, including OpenCL, are already empowering HPC software developers to directly leverage FPGAs, and to identify future opportunities and needs for research in this area. ========================================================================== Topics ========================================================================== Submissions are solicited that explore the state of the art in the use of FPGAs in heterogeneous high-performance compute architectures and, at a system level, in data centers and supercomputers. FPGAs may be considered from either or both the distributed, parallel and composable fabric of compute elements or from their dynamic reconfigurability. We particularly encourage submissions which focus on the mapping of algorithms and applications to heterogeneous FPGA-based systems as well as the overall impact of such architectures on the compute capacity, cost, power efficiency, and overall computational capabilities of data centers and supercomputers. A non-comprehensive list of potential topics of interest is given below: 1. FPGAs in the cloud and data center 2. Cloud and data center applications 3. Leveraging reconfigurability 4. Benchmarks 5. Implementation studies 6. Programming languages, tools, and frameworks 7. Future-gazing 8. Community building ========================================================================== Special theme for 2018 ========================================================================== For this year's workshop we especially encourage the submission of papers on the topic of FPGA-based support for non-volatile memory and near-memory computing. Non-volatile memory (NVM) technologies such as Flash and Phase-Change memory potentially facilitate shared storage in the microsecond regime. In emerging systems, NVM may serve as a new level of memory hierarchy or as a networked resource. To this end, early work in developing both system-level interfaces to NVM (such as NVMe) and network-level interfaces to NVM (such as RDMA over Converged Ethernet 2) rely heavily on FPGAs as low-latency intermediaries. ========================================================================== Prospective authors are invited to submit relevant contributions as an extended abstract in ACM SIG Proceedings format of up to four pages. You can submit your contribution(s) through a link on the H2RC website: http://h2rc.cse.sc.edu The authors of accepted papers will be invited to present their work at the workshop. ========================================================================== Important dates: ========================================================================== Submission Deadline: August 15, 2018 Acceptance Notification: September 18, 2018 Camera-ready Manuscripts Due: October 15, 2018 Workshop Date: November 11, 2018 ========================================================================== Workshop Format: ========================================================================== H2RC is a half-day Sunday workshop. It will be comprised of: -- Keynote and invited talks -- Talks selected among paper submissions ========================================================================== Organizing Committee: ========================================================================== Michaela Blott, Xilinx Franck Cappello, Argonne National Lab Torsten Hoefler, ETH Zurich Jason D. Bakos, University of South Carolina ========================================================================== Technical Program Committee: ========================================================================== Rizwan Ashraf, Oak Ridge National Laboratory Paul Chow, University of Toronto Hans Eberle, NVIDIA Ken Eguro, Microsoft Research Xin Fang, Northeastern University Alan George, University of Pittsburgh Andreas Koch, TU Darmstadt Miriam Leeser, Northeastern University Chistian Plessl, University of Paderborn Viktor Prasanna, University of Southern California Marco Santambrogio, Politecnico Di Milano Yaman Umuroglu, Xilinx Research -- Jason D. Bakos, Ph.D. Professor Dept. of Computer Science and Engineering Univ. of South Carolina 301 Main St., Suite 3A01L Columbia, SC 29208 803-777-8627 (voice), 803-777-3767 (fax) http://www.cse.sc.edu/~jbakos jbakos(a)cse.sc.edu

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THE 19TH IEEE/ACM INTERNATIONAL SYMPOSIUM ON CLUSTER, CLOUD AND GRID COMPUTING (IEEE/ACM CCGrid 2019)
by Demetris Trihinas 02 Aug '18

02 Aug '18

THE 19TH IEEE/ACM INTERNATIONAL SYMPOSIUM ON CLUSTER, CLOUD AND GRID COMPUTING (IEEE/ACM CCGrid 2019) **** CALL FOR CONTRIBUTIONS **** (Papers, Workshop Proposals, Tutorial Proposals, Doctoral Symposium, SCALE) CALL FOR PAPERS Advances in architectures, networks, systems and middleware technologies are leading to new concepts and platforms for computing, ranging from Clusters and Grids to Clouds and Datacenters, and result in an outstanding impact to numerous aspects of the modern world. The 19th Annual IEEE/ACM International Symposium in Cluster, Cloud, and Grid Computing (CCGrid 2019) is a forum bringing together international researchers, developers, and practitioners to present leading research activities and results on a broad range of topics related to these concepts, platforms, and their applications. The conference features keynotes, technical presentations, workshops, and posters, as well as the Doctoral Symposium and the SCALE challenge featuring live demonstrations. CCGrid has travelled over the world. Its next stop is in beautiful Larnaca, Cyprus, in May 2019. Papers due: December 7, 2018 Author notifications: January 18, 2019 More info at http://ccgrid2019.ucy.ac.cy/pages/cfp.html CALL FOR WORKSHOPS Workshops should provide forums for discussion among researchers and practitioners on focused topics or emerging research areas relevant to the community. Organizers may structure workshops as they see fit, including invited talks, panel discussions, presentations of work in progress, fully peer-reviewed papers, or some combination of the above. Workshops could be scheduled for half a day or a full day, depending on interest, space constraints, and organizer preference. Organizers should design workshops for approximately 20-40 participants, to balance impact and effective discussion. Deadline for Workshop Proposals: September 30, 2018 Notifications of Acceptance: October 15, 2018 More info at http://ccgrid2019.ucy.ac.cy/pages/cfw.html CALL FOR TUTORIALS CCGrid 2019 will feature state-of-the-art tutorials from leading experts in their fields. Topics will cover different levels, ranging from introductory to highly advanced skills. All tutorials will address highly important and relevant subject areas of cluster computing and grid technology. To provide the best possible tutorial offerings, CCGrid 2019 solicits proposals for half day (3,5 hours) or full day tutorials. Deadline for Tutorial Proposals: January 15, 2019 Notification of Acceptance: February 15, 2019 More info at http://ccgrid2019.ucy.ac.cy/pages/cft.html CALL FOR DOCTORAL SYMPOSIUM The Doctoral Symposium of the 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid2019) provides a forum for students in all areas of Cluster, Grid and Cloud research to obtain visibility, feedback and advice on their Ph.D. dissertation topics and on their research careers. The Symposium promotes fruitful interactions and networking between student researchers at a similar stage in their careers. The program committee consists of experts in the field and will provide their valuable feedback to the ongoing research work of participating students. Selected students will present their work in front of an audience of both their peer and researchers and will also be invited to present their work as a poster in the poster exhibition of CCGrid. The proceedings of the doctoral symposium will be published as part of CCGrid 2019 Proceedings through the IEEE Computer Society Conference Publishing Services and will be submitted to IEEE Xplore for EI indexing. Papers due January 15, 2019 Author Notification: February 15, 2019 More info at: http://ccgrid2019.ucy.ac.cy/pages/doctoral.html CALL FOR THE 12TH IEEE INTERNATIONAL SCALABLE COMPUTING CHALLENGE (SCALE 2019) The 12th IEEE International Scalable Computing Challenge (SCALE 2019) is sponsored by the IEEE Computer Society Technical Committee on Scalable Computing (TCSC). The objective of the SCALE Challenge is to highlight and showcase real-world problem solving using computing that scales. Effective solutions to many scientific and engineering problems require applications that can scale. There are different dimensions to application scalability. For example, applications can scale-up to a large number of cores on a compute unit, scale-out to utilize multiple distinct compute units, or exhibit elastic scaling to acquire and release resources on-demand, based on current need. The result may be an application that can solve a larger problem, increase throughput, and/or reduce execution time. In order to scale, applications need to be supported by tools, middleware, software cyber-infrastructure, programming frameworks, computing infrastructure, etc. The SCALE Challenge is concerned with advances in application development and their supporting infrastructure to enable scaling. All papers presented at the SCALE challenge and selected by the Scale Challenge Committee of IEEE/ACM CCGrid 2019 will be submitted to IEEE Xplore for publication and EI indexing. Proposal submission: 31 Jan 2019 Moore info at http://ccgrid2019.ucy.ac.cy/pages/scale2019.html ***Organizing Committee*** **General Chairs:** Marios Dikaiakos, University of Cyprus, Cyprus Schahram Dustdar, TU Wien, Austria **Program Chairs:** Sarunas Girdzijauskas, KTH Royal Institute of Technology, Sweden George Pallis, University of Cyprus, Cyprus Yongwei Wu, Tsinghua University, China **Workshop and Tutorial Chairs:** Adel Nadjaran Toosi, Monash University, Australia Borja Sotomayor, University of Chicago, USA **Doctoral Symposium Chair:** Sandra Gesing, University of Notre Dame, USA **SCALE Challenge Chairs:** Herodotos Herodotou, Cyprus University of Technology, Cyprus Radu Prodan, University of Innsbruck, Austria **Local Arrangement Chairs:** TBD **Publicity Chair:** Demetris Trihinas, University of Nicosia, Cyprus **Proceedings Chair:** Georgiana Copil, SAP, Romania **Registration & Finance Chair:** George Papadopoulos, University of Cyprus, Cyprus **Sponsorships and Students Travel Award Chair:** Eliezer Dekel, Huawei, Germany **Web Chair:** Kyriakos Georgiades, EasyConferences, Cyprus **Vice Chairs:** Applications and Data Science Vasiliki Kalavri, ETH Zurich, Switzerland Eiko Yoneki, University of Cambridge, UK Architecture and Networking Anne-Cecile Orgerie, IRISA, France Luis Veiga Universidade de Lisboa, Portugal Cloud Computing Shadi Ibrahim, INRIA, France Dimitrios Tsoumakos, Ionian University, Greece Autonomic Computing, Datacenters and Cyber-infrastructure: Georges DaCosta, IRIT, France Xuanhua Shi, Huazhong University of Science and Technology, China Performance Modelling and Evaluation Rodrigo N. Calheiros, Western Sydney University, Australia Alexandru Iosup, Vrije Universiteit, The Netherlands Programming Models and Runtime Systems Thomas Fahringer, University of Innsbruck, Austria Asterios Katsifodimos, TU Delft, The Netherlands Scheduling and Resource Management Ewa Deelman, USC Information Sciences Institute, USA Rizos Sakellariou, University of Manchester, UK Storage and I/O Systems Gregory Chockler, Royal Holloway University of London, UK Hillel Kolodner, IBM Haifa, Israel Edge Computing Ivana Podnar Žarko, University of Zagreb, Croatia Haiying (Helen) Shen, University of Virginia, USA ***Program Committee*** **Storage and I/O Systems** Qingsong Wei, Institute of High Peformance Computing Jiwu Shu, Tsinghua University Bo Mao, Xiamen University Patrick P. C. Lee, The Chinese University of Hong Kong Weikuan Yu, Florida State University Cao Qiang, Huazhong University of Science and Technology Pedro Garcia Lopez, Universitat Rovira i Virgili Weijun Xiao, Virginia Commonwealth University Yu Hua, Huazhong University of Science and Technology Ming Zhao, Arizona State University Qing Liu, New Jersey Institute of Technology Maria S. Perez, Universidad Politécnica de Madrid Lei Tian, TINTRI Yong Chen, Texas Tech University Song Jiang, University of Texas, Arlington Yifeng Zhu, University of Maine Gala Yadgar, Technion Danny Harnik, IBM Xiaosong Ma, North Carolina State University Philip Shilane, EMC **Programming Models and Runtime Systems** Murali Emani, Lawrence Livermore National Laboratory Dragi Kimovski, University of Innsbruck Hong-Linh Truong, Vienna University of Technology Jan Hidders, Vrije Universiteit Brussel Dan Holmes, The University of Edinburgh Siegfried Benkner, University of Vienna Jan S Rellermeyer, Delft University of Technology Marios Fragkoulis, Delft University of Technology Jingling Xue, The University of New South Wales Karl Fuerlinger, Ludwig Maximilian University of Munich Stephen Olivier, Sandia National Laboratories Sriram Krishnamoorthy, Pacific Northwest National Lab Alexandre Eichenberger, IBM Costin Iancu, LBNL Florina M. Ciorba, University of Basel **Cloud Computing** Suzanne McIntosh, New York University - Courant Institute of Mathematical Sciences, Center for Data Science Adrien Lebre, IMT Atlantique - Nantes Guillaume Pierre, IRISA / Université de Rennes 1 Orcun Yildiz, Argonne National Laboratory Hai Jin, Huazhong University of Science and Technology Song Wu, Huazhong University of Science and Technology Hong-Linh Truong, Vienna University of Technology Michael Schoettner, Heinrich-Heine University Duesseldorf Bingsheng He, National University of Singapore Amelie Chi Zhou, Shenzhen University Thomas Lambert, UniversitÃ© de Bordeaux Osamu Tatebe, University of Tsukuba Ivona Brandic, Vienna University of Technology Georgios Goumas, National Technical University of Athens Domenico Talia, University of Calabria Matthieu Dorier, Argonne National Laboratory Alexandru Costan, INRIA **Applications and Data Science** Yi-Chao Wang, Shanghai Jiao Tong University Jing Gong, KTH Royal Institute of Technology Jedrzej Rybicki, Forschunszentrum Juelich Gmbh Long Cheng, University College Dublin Lin Gan, Tsinghua University Jianhui Li, Computer Network Information Center,Chinese Academy of Sciences Adrian Jackson, The University of Edinburgh Scott Klasky, Oak Ridge National Laboratory Ian Cosden, Princeton University Curt Hillegas, Princeton University Katerina Antypas, NERSC Lawrence Berkeley National Lab Pat Martin, Queen's University Erlin Yao, ICT, CAS Alexey Svyatkovskiy, Princeton University Vladimir Voevodin, RCC MSU **Performance Modelling and Evaluation** Marc Perache, CEA,DAM,DIF Bogdan Ghit, Databricks Xing Liu, IBM Lauren Smith, US Department of Defense Mihai Capotă, Intel Nikolas Roman Herbst, University of Würzburg Alexandru Calotoiu, TU Darmstadt Christian Terboven, RWTH Aachen University Sameer Shende, University of Oregon Swaroop Pophale, Oak Ridge National Laboratory Andreas Knuepfer, TU Dresden Bronis de Supinski, Lawrence Livermore National Laboratory Abhinav Bhatele, Lawrence Livermore National Laboratory Karen L. Karavanic, Portland State University Markus Geimer, Juelich Supercomputing Centre Jean-Baptiste Besnard, ParaTools SAS Erwin Laure, KTH/PDC Nathan Tallent, Pacific Northwest National Laboratory Didem Unat, University of California San Diego Sascha Hunold, Vienna University of Technology Matei Ripeanu, The University of British Columbia Naoya Maruyama, Lawrence Livermore National Laboratory Young Choon Lee, Macquarie University Bahman Javadi, Western Sydney University Shangguang Wang, Beijing University of Posts and Telecommunications Wenhong Tian, Uni. of Eletr. Sci. and Tech. of China Yogesh Simmhan, Indian Institute of Science **Autonomic Computing, Datacenters, and Cyber-infrastructure** Murali Emani, Lawrence Livermore National Laboratory Eitan Zahavi, Mellanox Technologies Karl Fuerlinger, Ludwig Maximilian University of Munich Patricia Stolf, IRIT, Université de Toulouse Vladimir Vlassov, Royal Institute of Technology (KTH), School for Information and Communication Technology Siegfried Benkner, University of Vienna Paul Renaud-Goud, IRIT, Université de Toulouse Hong-Linh Truong, Vienna University of Technology Shinobu Miwa, The University of Electro-Communications Nectarios Koziris, National Technical University of Athens Beniamino Di Martino, University of Campania "Luigi Vanvitelli" Harald Kornmayer, DHBW Mannheim Shrisha Rao, International Institute of Information Technology - Bangalore Zhiyi Huang, Univ of Otago Rong Ge, Clemson University Jean-Marc Pierson, University of Toulouse, IRIT Olivier Richard, LIG Laboratory Grenoble Avi Mendelson, Technion Zhiling Lan, Illinois Institute of Technology Vatche Ishakian, Bentley University, Computer Information Systems Department Robert Ricci, University of Utah Marian Bubak, AGH Krakow PL and University of Amsterdam NL Ariel Oleksiak, Poznan Supercomputing and Networking Center Jesus Escudero-Sahuquillo, University of Castilla-La Mancha Nikolaos Chrysos, Foundation For Research & Technology -- Hellas (FORTH) Gianni Antichi, University of Cambridge Holger Fröning, University of Heidelberg Soeren Sonntag, Intel Pedro Javier Garcia, Universidad de Castilla-La Mancha Hubertus Franke, IBM Robert Birke, ABB Research Andreea Simona Anghel, IBM Research - Zurich Research Laboratory John Carter, IBM Min Si, Argonne National Laboratory Marco Chiesa, Universite catholique de Louvain Balazs Gerofi, The University of Tokyo John Thomson, OnApp -- Demetris Trihinas (PhD) Senior Researcher Laboratory for Internet Computing (LInC) Department of Computer Science, University of Cyprus PO Box 20537, 1678 Nicosia, Cyprus Tel: +357 22 89 2723 email: trihinas(a)cs.ucy.ac.cy website: dtrihinas.info

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