[Apologies if you receive multiple copies of this CFP]
IA^3 2017
Seventh Workshop on Irregular Applications: Architectures and Algorithms
http://hpc.pnl.gov/IA3/
November 13, 2017
In conjunction with SC17
In collaboration with ACM SIGHPC
Sponsored by IEEE TCHPC
Call for Papers
Irregular applications occur in many subject matters. While inherently parallel, they exhibit highly variable execution performance at a local level due to unpredictable memory access patterns and/or network transfers, divergent control structures, and data imbalances. Moreover, they often require fine-grain synchronization and communication on large-data structures such as graphs, trees, unstructured grids, tables, sparse matrices, deep nets, and their combinations (such as, for example, attributed graphs). They have a significant degree of latent parallelism, which however is difficult to exploit due to their complex behavior. Current high performance architectures rely on data locality and regular computation to reduce access latencies, and often do not cope well with the requirements of these applications. Furthermore, irregular applications are difficult to scale on current supercomputing machines, due to their limits in fine-grained synchronization and small data transfers.
Irregular applications pertain both to well established and emerging fields, such as machine learning, social network analysis, bioinformatics, semantic graph databases, Computer Aided Design (CAD), and computer security. Many of these application areas also process massive sets of unstructured data, which keep growing exponentially. Addressing the issues of irregular applications on current and future architectures will become critical to solve the challenges in science and data analysis of the next few years.
This workshop seeks to explore solutions for supporting efficient execution of irregular applications in the form of new features at the level of the micro- and system-architecture, network, languages and libraries, runtimes, compilers, analysis, algorithms. Topics of interest, of both theoretical and practical significance, include but are not limited to:
* Micro- and System-architectures, including multi- and many-core designs, heterogeneous processors, accelerators (GPUs, vector processors, Automata processor), reconfigurable (coarse grained reconfigurable and FPGA designs) and custom processors
* Network architectures and interconnect (including high-radix networks, optical interconnects)
* Novel memory architectures and designs (including processors-in memory)
* Impact of new computing paradigms on irregular workloads (including neuromorphic processors and quantum computing)
* Modeling, simulation and evaluation of novel architectures with irregular workloads
* Innovative algorithmic techniques
* Combinatorial algorithms (graph algorithms, sparse linear algebra, etc.)
* Impact of irregularity on machine learning approaches
* Parallelization techniques and data structures for irregular workloads
* Data structures combining regular and irregular computations (e.g., attributed graphs)
* Approaches for managing massive unstructured datasets (including streaming data)
* Languages and programming models for irregular workloads
* Library and runtime support for irregular workloads
* Compiler and analysis techniques for irregular workloads
* High performance data analytics applications, including graph databases
Besides regular papers, papers describing work-in-progress or incomplete but sound, innovative ideas related to the workshop theme are also encouraged. We solicit both 8-page regular papers and 4-page position papers. Authors of exciting but not mature enough regular papers may be offered the option of a short 4-page paper and related short presentation.
Artifact Evaluation
For this edition of IA3, authors of accepted regular papers will be invited to formally submit their supporting materials to the Artifact Evaluation process, similarly to the process followed for SC17. The participation to the Artifact Evaluation process is voluntary and will not change decisions regarding the paper. However, papers that undergo the evaluation process will receive a seal of approval on the paper, and will be able to participate in the BEST PAPER AWARD selection. DIVIDITI will provide an Amazon Gift Voucher (valued $200) to the authors of the paper that passes artifact evaluation with the highest score and that shares the artifact in the CK (Collective Knowledge - https://github.com/ctuning/ck) format. Authors that go through the Artifact Evaluation process are also encouraged (but not mandated) to submit the supporting materials as “Source Materials” in the digital library. For details on how to submit supporting materials to the Artifact Evaluation process, please refer to: http://ctuning.org/ae/submission.html.
For any additional question on the Artifact Evaluation process please contact the Artifact Evaluation Chair Flavio Vella.
Important Dates
Abstract submission: 22 August 2017
Position or full paper submission: 29 August 2017
Notification of acceptance: 3 October 2017
Camera-ready position and full papers: 10 October 2017
Workshop: 13 November 2017
Submissions
Submission site: https://easychair.org/conferences/?conf=ia32017
All submissions should be in double-column, single-spaced letter format, with at least one-inch margins on each side and respect the ACM standard proceedings templates (sigconf) available at: https://www.acm.org/publications/proceedings-template.
The proceedings of the workshop will be published in cooperation with ACM SIGHPC.
Submitted manuscripts may not exceed eight (8) pages in length for regular papers and four(4) pages for position papers including figures, tables and references.
Organizers
Antonino Tumeo, PNNL, US
John Feo, PNNL/NIAC, US,
Vito Giovanni Castellana, PNNL, US
Artifact Evaluation Chair
Flavio Vella, DIVIDITI, UK
Publication Chair
Marco Minutoli, PNNL, US
Program Committee
Scott Beamer, LBNL, US
Michela Becchi, North Carolina State University, US
Erik Boman, Sandia National Laboratories, US
David Brooks, Harvard University, US
Aydin Buluc, LBNL, US
Sunita Chandrasekaran, University of Delaware, US
Fabio Checconi, IBM, US
Rajiv Gupta, Univerisity of California Riverside, US
Maya Gokhale, LLNL, US
Peter Kogge, Univ. of Notre Dame, US
Vivek Kumar, Rice University, US
John Leidel, Texas Tech University, US
Kamesh Madduri, Pennsylvania State University, US
Naoya Maruyama, RIKEN AICS, JP
Tim Mattson, Intel, US
Miquel Moreto, BSC and UPC, SP
Richard Murphy, Micron Technology Inc, US
Walid Najjar, University of California Riverside, US
Maxim Naumov, NVIDIA, US
Jacob Nelson, University of Washington, US
Sreepathi Pai, University of Rochester, US
Roger Pearce, LLNL, US
Miquel Pericas, Chalmers University, SE
Viktor Prasanna, University Of Southern California, US
Alejandro Rico, ARM, US
Jason Riedy, Georgia Institute of Technology, US
Erik Saule, University of North Carolina at Charlotte, US
John Shalf, LBNL, US
Shaden Smith, University of Minnesota, US
Bora Ucar, CNRS and LIP ENS Lyon, FR
Ruud Van Der Pas, Oracle, US
Flavio Vella, DIVIDITI, UK
Ana Lucia Varbanescu, University of Amsterdam, NL
IEEE SC2 2017, The 7th IEEE International Symposium on Cloud and Service Computing
Kanazawa, Japan, November 22-25, 2017
http://grid.chu.edu.tw/iov2017
Dear Colleagues:
We cordially invite you to share your latest research results at the 2017 IEEE SC2 Conference.
---------------------------
CALL FOR PAPERS
---------------------------
The “Cloud” is a natural evolution of distributed computing and the widespread adaption of virtualization and SOA. Services computing is a new cross-discipline subject that covers the science and technology needed to bridge the gap between business services and IT services. In cloud computing, IT-related capabilities and resources are provided as services, via the Internet and on-demand, accessible without requiring detailed knowledge of the underlying technology.
SC2 2017 is an important forum for researchers and industry practitioners to exchange information regarding advancements in the state of art and practice of IT-driven cloud computing technologies and services, as well as to identify emerging research topics and define the future directions of cloud and services computing.
IEEE SC2 2017 will be held on Nov. 22-25, 2017 in Kanazawa, Japan.
Topics of interest include, but are not limited to:
- Cloud architecture
- Cloud OS, middleware, and toolkits
- Storage architecture
- Big data infrastructure, systems, methodologies, and applications
- Virtualization techniques
- Resource provision, monitoring, and scheduling
- Privacy and access control for cloud computing
- Performance evaluation and modeling measurement for cloud computing
- Programming models for building cloud applications
- Networking in cloud computing
- Security, privacy and trustworthy in clouds
- Security, privacy and trustworthy for service oriented architectures and systems
- Energy efficient hardware and software solutions
- High availability and reliability
- Large scale cloud applications
- Internet/web computing and data mining
- Volunteer and utility computing
- Green and pervasive computing
- Service oriented architecture
- Discovery of services and data in cloud computing infrastructures
- Foundations of services computing
- Services-centric business models
- Business process integration and management
---------------------------------------
PUBLICATION HIGHLIGHTS
---------------------------------------
IEEE CS proceedings, indexed by
- IEEE Xplore
- Scopus
- Compendex EI
- ACM Digital Library
- DBLP
- Google Scholar
Extended version of the selected papers will be invited for publication in prestigious international journals.
Cluster Computing (Springer)
Journal of Supercomputing (Springer)
Vehicular Communications Journal
International Journal of Big Data Intelligence
International Journal of Grid and High-Performance Computing
Journal of Foundations of Computing and Decision Sciences
International Journal of Applied Mathematics and Computer Science
IEEE Transactions on Emerging Topics in Computing
IET Intelligent Transport Systems
----------------------------
IMPORTANT DATES
----------------------------
Research Track:
Submission 8/10
Notification 9/10
Poster / Special Session
Submission 9/17
Notification 9/24
Registration Due 10/5
Camera ready 10/5
---------------------------------------------
SUBMISSION and PUBLICATION
---------------------------------------------
Papers need to be prepared according to the IEEE format, and submitted in PDF format via the IEEE SC2 2017 submission site: https://easychair.org/conferences/?conf=sc22017
IEEE formatting information:
http://www.ieee.org/conferences_events/conferences/publishing/templates.html
-------------------------------
Organizing Committees
-------------------------------
General Chairs
Keqin Li, State University of New York at New Paltz, USA
Ren-Hung Hwang, National Chung Cheng University, Taiwan
Christophe Cerin, Université Paris 13, France
General Executive Chairs
Tokuro Matsuo, Advanced Institute of Industrial Technology, Japan
Robert Hsu, Chung Hua University, Taiwan
Program Chairs
Amir H. Alavi, Michigan State University, USA
Yue-Shan Chang, National Taipei University, Taiwan
Workshop Chairs
Chia-Hung Yeh, National Sun Yat-sen University, Taiwan
Alex Kuo, University of Victoria, Canada
Demo/Poster Chair
Carson Leung, University of Manitoba, Canada
Special Session Chair
Kuan-Chou Lai, National Taichung University, Taiwan
Award Chair
Ce-Kuen Shieh, National Cheng Kung University, Taiwan
International Liaison & Publicity Chair
Yu Chen, Binghamton University, USA
Bingsheng He, National University of Singapore, Singapore
Jun Li, University of Sydney, Australia
Bingwei Liu, Aetna Inc., USA
Koji Nakano, Hiroshima University, Japan
Yan Zhang, University of Oslo, Norway
Li-Hsin Yen, National Chiao Tung Univ. Taiwan
Rynson Lau, City Univ. of Hong Kong, Hong Kong
Publication Chair
Wen-Hwa Liao, Tatung University, Taiwan
Saeid Abolfazli, YTL Communications and Xchanging, Malaysia
Advisory Committee
Robert Hsu, Chung Hua University, Taiwan
Rajkumar Buyya, University of Melbourne, Australia
H.J. Siegel, Colorado State University, USA
Chung-Ta King, National Tsing Hua University, Taiwan
Hamid R. Arabnia, The University of Georgia, USA
Lizhe Wang, Chinese Academy of Sciences, China
Hung-Chang Hsiao, National Tsing Hua University, Taiwan
Anna Kobusinska, Poznan University of Technology, Poland
Hui Lei, IBM, USA
Kwei-Jay Lin, University of California Irvine, USA
Philip Yu, University of Illinois at Chicago, USA
Please visit the IEEE SC2 2016 website http://grid.chu.edu.tw/sc2-2017/tpc.php
for the complete listing of organizing committee and TPC members.
24th IEEE International Conference on
High Performance Computing, Data, and Analytics
HiPC 2017
December 18-21, 2017
Jaipur, India
http://www.hipc.org
The 24th annual IEEE International Conference on High Performance
Computing, Data and Analytics (HiPC 2017) will be held at the Le Meridian,
Jaipur, India. Complementing the main technical program, HiPC workshops
serve to broaden the technical scope of the conference in emerging areas of
high performance computing, communication, data and analytics and their
applications.
Below is the listing of the four workshops to be held on the first day of
the conference, December 18.
• International Workshop on Foundations of Big Data Computing (BigDF)
• Third Workshop on Computational Fluid Dynamics (CFD)
• Dynamic Data Driven Smart Systems (DDDSS)
• Second International Workshop on Software Composable Infrastructure (SCI)
See details at http://hipc.org/workshops for workshop paper submission
deadlines and formatting requirements.
WORKSHOPS CO-CHAIRS
Manish Parashar, Rutgers University, USA
Chiranjib Sur, Shell, India
HiPC 2017 is co-sponsored by
•IEEE Computer Society Technical Committee on Parallel Processing (TCPP)
•HiPC Education Trust, India
In cooperation with
•ACM Special Interest Group on Algorithms and Computation Theory (SIGACT)
•ACM Special Interest Group on Computer Architecture (SIGARCH)
•FIP Working Group on Concurrent Systems
•Manufacturers' Association for Information Technology (MAIT)
•National Association of Software and Service Companies (NASSCOM)
------------------------------------------------------------------------------------------------
Follow us on Twitter https://twitter.com/hipcconf
Google+ https://plus.google.com/+HipcOrg
Facebook https://www.facebook.com/hipc.conference/
------------------------------------------------------------------------------------------------
Third Workshop on
Quantum Communications and Information Technology (QCIT’17)
-----------------------------------------------------------
Review manuscript due date: July 23. 2017
=========================================
http://qcit.committees.comsoc.org/qcit17-workshop/
At IEEE Globecom’17, Singapore, 4-8 December 2017
http://globecom2017.ieee-globecom.org
The scope of this dedicated workshop is to explore the opportunities for
application of communications theory and technologies to quantum
technology
and its applications. The workshop is the annual main event of ComSoc’s
Emerging Technical Committee on Quantum Communications and Information
Technology (ETC-QCIT).
Over the last decade, a wide variety of experimental quantum
communications
and processing devices has been invented and used for fundamental
demonstrations in laboratories. Results confirm feasibility of real
applications in quantum communications and information related fields.
Recently one can observe upcoming applications in areas like a quantum
communications, quantum sensors and random number generators which are
partially even commercially available. Companies and governments started
to
spend significant amounts of funding in research and development of
quantum
technologies. However, the step from quantum technology based devices to
real systems running a communications or information processing task has
not
completed yet. Moreover, many problems show opportunities to contribute
with
knowhow, technologies and engineering out of the communications area. The
following topics are crucial to the development of future quantum
technology
based systems:
- Algorithms and applications complexity
- Analysis of classical vs quantum software
- Coding theory
- Coherent routers, repeaters and converters
- Communications and information theory
- Devices and circuits
- Entanglement distillation
- Error correction
- Experimental results and demonstrations
- Interconnection and complexity theory
- Metrology for quantum systems
- Modeling and simulation
- Network coding
- Photonic communications technology
- Processing and systems architecture
- Quantum electro-dynamics
- Quantum information theory
- Quantum key distribution
- Quantum sensors
- Quantum-algorithms and applications
- Remote state preparation
- RF based programming and algorithms
- RF technology and control
- Signal processing for quantum control
It is the aim of this workshop to connect people from academia and
industry
to discuss about theory, technology and applications and exchange ideas to
move efficiently forward in research, engineering and development of this
exciting area.
Submission info for camera-ready manuscripts
--------------------------------------------
Original and unpublished regular papers are solicited from the
above-mentioned
areas. Regular papers have a length of 4 to 6 pages with an optional
payable
7th page. All manuscripts will be peer reviewed and published in the
workshop
proceedings and after presentation in IEEE Xplore. Templates for the
manuscripts can be downloaded from:
http://www.ieee.org/conferences_events/conferences/publishing/templates.html
The formatted manuscript should be electronically submitted as pdf via
EDAS:
https://edas.info/newPaper.php?c=23835
Further information is available in the Globecom 2017 webpages:
http://globecom2017.ieee-globecom.org
Important dates
---------------
Manuscript submission due date: 23. July, 2017 (extended)
Notification date: 1. September, 2017
Final manuscript due date: 1. October, 2017
Conference date: 4.-8. December, 2017
Workshop organizers
-------------------
Andrea Conti, University of Ferrara, Italy, a.conti(a)ieee.org
Lajos Hanzo, University of Southampton, United Kingdom, lh(a)ecs.soton.ac.uk
Peter Mueller, IBM Research Zurich Laboratory, Switzerland,
pmu(a)zurich.ibm.com
Michael Ng, University of Southampton, United Kingdom, sxn(a)ecs.soton.ac.uk
IEEE SC2 2017, The 7th IEEE International Symposium on Cloud and Service Computing
Kanazawa, Japan, November 22-25, 2017
https://grid.chu.edu.tw/sc2-2017
Dear Colleagues:
We cordially invite you to share your latest research results at the 2017 IEEE SC2 Conference.
---------------------------
CALL FOR PAPERS
---------------------------
The “Cloud” is a natural evolution of distributed computing and the widespread adaption of virtualization and SOA. Services computing is a new cross-discipline subject that covers the science and technology needed to bridge the gap between business services and IT services. In cloud computing, IT-related capabilities and resources are provided as services, via the Internet and on-demand, accessible without requiring detailed knowledge of the underlying technology.
SC2 2017 is an important forum for researchers and industry practitioners to exchange information regarding advancements in the state of art and practice of IT-driven cloud computing technologies and services, as well as to identify emerging research topics and define the future directions of cloud and services computing.
IEEE SC2 2017 will be held on Nov. 22-25, 2017 in Kanazawa, Japan.
Topics of interest include, but are not limited to:
- Cloud architecture
- Cloud OS, middleware, and toolkits
- Storage architecture
- Big data infrastructure, systems, methodologies, and applications
- Virtualization techniques
- Resource provision, monitoring, and scheduling
- Privacy and access control for cloud computing
- Performance evaluation and modeling measurement for cloud computing
- Programming models for building cloud applications
- Networking in cloud computing
- Security, privacy and trustworthy in clouds
- Security, privacy and trustworthy for service oriented architectures and systems
- Energy efficient hardware and software solutions
- High availability and reliability
- Large scale cloud applications
- Internet/web computing and data mining
- Volunteer and utility computing
- Green and pervasive computing
- Service oriented architecture
- Discovery of services and data in cloud computing infrastructures
- Foundations of services computing
- Services-centric business models
- Business process integration and management
---------------------------------------
PUBLICATION HIGHLIGHTS
---------------------------------------
IEEE CS proceedings, indexed by
- IEEE Xplore
- Scopus
- Compendex EI
- ACM Digital Library
- DBLP
- Google Scholar
Extended version of the selected papers will be invited for publication in prestigious international journals.
Cluster Computing (Springer)
Journal of Supercomputing (Springer)
Vehicular Communications Journal
International Journal of Big Data Intelligence
International Journal of Grid and High-Performance Computing
Journal of Foundations of Computing and Decision Sciences
International Journal of Applied Mathematics and Computer Science
IEEE Transactions on Emerging Topics in Computing
IET Intelligent Transport Systems
----------------------------
IMPORTANT DATES
----------------------------
Research Track:
Submission 8/10
Notification 9/10
Poster / Special Session
Submission 9/17
Notification 9/24
Registration Due 10/5
Camera ready 10/5
---------------------------------------------
SUBMISSION and PUBLICATION
---------------------------------------------
Papers need to be prepared according to the IEEE format, and submitted in PDF format via the IEEE SC2 2017 submission site: https://easychair.org/conferences/?conf=sc22017
IEEE formatting information:
http://www.ieee.org/conferences_events/conferences/publishing/templates.html
-------------------------------
Organizing Committees
-------------------------------
General Chairs
Keqin Li, State University of New York at New Paltz, USA
Ren-Hung Hwang, National Chung Cheng University, Taiwan
Christophe Cerin, Université Paris 13, France
General Executive Chairs
Tokuro Matsuo, Advanced Institute of Industrial Technology, Japan
Robert Hsu, Chung Hua University, Taiwan
Program Chairs
Amir H. Alavi, Michigan State University, USA
Yue-Shan Chang, National Taipei University, Taiwan
Workshop Chairs
Chia-Hung Yeh, National Sun Yat-sen University, Taiwan
Alex Kuo, University of Victoria, Canada
Demo/Poster Chair
Carson Leung, University of Manitoba, Canada
Special Session Chair
Kuan-Chou Lai, National Taichung University, Taiwan
Award Chair
Ce-Kuen Shieh, National Cheng Kung University, Taiwan
International Liaison & Publicity Chair
Yu Chen, Binghamton University, USA
Bingsheng He, National University of Singapore, Singapore
Jun Li, University of Sydney, Australia
Bingwei Liu, Aetna Inc., USA
Koji Nakano, Hiroshima University, Japan
Yan Zhang, University of Oslo, Norway
Li-Hsin Yen, National Chiao Tung Univ. Taiwan
Rynson Lau, City Univ. of Hong Kong, Hong Kong
Publication Chair
Wen-Hwa Liao, Tatung University, Taiwan
Saeid Abolfazli, YTL Communications and Xchanging, Malaysia
Advisory Committee
Robert Hsu, Chung Hua University, Taiwan
Rajkumar Buyya, University of Melbourne, Australia
H.J. Siegel, Colorado State University, USA
Chung-Ta King, National Tsing Hua University, Taiwan
Hamid R. Arabnia, The University of Georgia, USA
Lizhe Wang, Chinese Academy of Sciences, China
Hung-Chang Hsiao, National Tsing Hua University, Taiwan
Anna Kobusinska, Poznan University of Technology, Poland
Hui Lei, IBM, USA
Kwei-Jay Lin, University of California Irvine, USA
Philip Yu, University of Illinois at Chicago, USA
Please visit the IEEE SC2 2016 website http://grid.chu.edu.tw/sc2-2017/tpc.php
for the complete listing of organizing committee and TPC members.
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Call For Papers - IEEE SOCA 2017 in Kanazawa, Japan, November 22-25, 2017
The 10 th IEEE International Conference on Service Oriented Computing and Applications (SOCA 2017)
http://conferences.computer.org/soca
Kanazawa, Japan, November 22-25, 2017
---------------------------
CALL FOR PAPERS
---------------------------
Service-oriented computing (SOC) is considered today a key enabler for the development of robust and high-quality intelligent Internet-scale distributed applications. Extensive research and development in the past few years has pushed SOC technology into state-of-the-art applications in emerging areas such as Cloud computing, Internet-of-Things (IoT), Machine-to-Machine (M2M) communication, Cyber-Physical Systems (CPSs),
Mobile-Edge Computing, Social computing as well as mobile and enterprise systems. However, many of the critical components on building reliable, robust, and user-centric, cloud-based service-oriented architecture applications and systems are still open for research. Hence, it is time to face new service-oriented architecture
(SOA) research opportunities by addressing new research challenges on emerging applications domains like smart cities, smart logistics, smart factories and e-Health, just to mention a few.
Many of the service components are deployed on resource-limited embedded systems and are performance sensitive; others are deployed on cloud servers providing highly parallel services and on edge servers in the middle of resource-limited systems and high-end servers. Edge servers and clouds are connected through various types of networks, including emerging network function virtualization services. These components are
part of complex applications and systems that span multiple execution environments. Their capabilities are increasingly being managed and (re)configured via emerging software-defined and elasticity mechanisms. In addition, they have to interact with humans in order to obtain useful human-sensing data and solve complex problems. Thus, on the one hand, SOC may provide effective solutions for managing the ever-increasing
complexity while meeting the challenging requirements of services on largely distributed, heterogeneous and dynamic resource environments. On the other hand, the exploitation of emerging trends in such environments to build SOC applications and systems for large-scale service-based systems is an open research challenge.
The 2017 IEEE International Conference on Service-Oriented Computing and Applications (SOCA 2017 http://conferences.computer.org/soca/) provides an international forum for researchers from multiple disciplines to exchange and share their experiences, ideas, and latest research results on all aspects of service-
oriented computing. The conference includes three days of parallel-track program, special-topic workshops, keynotes and tutorials, and panel discussion.
We invite submissions of high-quality papers describing fully developed results or ongoing work on the following topics and related areas:
-Service-oriented architectures, engineering, and applications
-Cloud-based service systems
-SOCA in IoT and Cyber-Physical Systems
-Service Models and Applications for Mobile-Edge Computing
-Service coordination techniques in IoT and cloud environments
-SOC-based smart process and workflow management
-Configurable, reconfigurable and software-defined service middleware
-Data analytics and data services in and for SOC-based systems
-IoT and data marketplaces
-Smart data and service contracts
-Cognitive computing techniques for SOCA
-Social computing for and atop SOCA
-SOCA development, deployment and testing tools and methodologies
-Security and privacy for SOCA
-Dependable and trustworthy SOCA
-SOCA for smart applications (cities, transportation systems, factories, homes and offices, etc.)
------------------------
Important Dates
------------------------
Workshop/Special Session Proposal May 30, 2017
Workshop/Special Session Notification June 15, 2017
Paper Submission Deadline August 10, 2017
Acceptance Notification September 15, 2017
Camera-Ready Submission October 1, 2017
----------------------------
Paper Format and Submission
----------------------------
We seek for both full and short papers. Full papers will be submitted as PDF files,
using the IEEE Computer Society Proceedings Format (two column, 10 point,
single-spaced, US Letter, no margin smaller than one inch) with a page limit of 8
pages. Short paper should be limited with 4 pages. All papers will be reviewed by
at least 3 technical committee members. The paper can be submitted at
https://easychair.org/conferences/?conf=soca2017
----------------------------
Organizing Committees
----------------------------
General Chairs
Boualem Benatallah, UNSW, Australia
Christian Huemer, Vienna University of Tech., Austria
Takayuki Ito, Nagoya Inst. of Tech., Japan
General Vice-Chairs
Yong Tang, South China Normal University, China
Tokuro Matsuo, Advanced Inst. of Industrial Tech., Japan
Hong-Linh Truong, Vienna University of Tech., Austria
Program Chairs
Bormin Huang, University of Wisconsin-Madison, USA
Hai Jin, Huazhong University of Science and Tech., China
Kwei-Jay Lin, University of California, Irvine, USA
Program Vice-Chairs
Jing Fan, Zhejiang University of Technology, China
Anna Kobusinska, Poznan University of Tech., Poland
Kevin Wang, University of Auckland, New Zealand
Workshop Co-Chairs
Naoki Fukuta, Shizuoka University, Japan
Changqin Huang, South China Normal University, China
Finance Chair
Tokuro Matsuo, Advanced Inst. of Industrial Tech., Japan
Publication Chair
Jong-Chan Kim, Kookmin University, Korea
Web Chair
Ci-Wei Lan, IBM CSDL, Taiwan
Steering Committee
Marco Aiello, University of Groningen, The Netherlands
Jane YJ Hsu, National Taiwan University, Taiwan
Robert Hsu, Chung Hua University, Taiwan
Christian Huemer, Vienna University of Tech., Austria
Takayuki Ito, Nagoya Inst. of Tech., Japan
Kwei-Jay Lin, University of California, Irvine, USA
Yong Tang, South China Normal University, China
IEEE DataCom 2017
Orlando, Florida, USA, November 6-10, 2017
http://grid.chu.edu.tw/datacom2017
Dear Colleagues:
We cordially invite you to share your latest research results related to Big Data, and Cloud Computing at the IEEE DataCopm 2017 conference.
The conference proceedings of DataCom 2017 will be published by IEEE CPS and submitted to IEEE Xplore and indexing services such as EI and ISSN.
Selected papers will be published in special issues of prestigious international journals.
IEEE DataCom 2017 also welcomes works-in-progress paper, industry paper, demo & poster papers.
---------------------------
CALL FOR PAPERS
---------------------------
Big data is a rapidly expanding research area spanning the fields of computer science and information management, and has become a ubiquitous term in understanding and solving complex problems in different disciplinary fields such as engineering, applied mathematics, medicine, computational biology, healthcare, social networks, finance, business, government, education, transportation and telecommunications.
The goal of the IEEE International Conference on Big Data Intelligence and Computing (IEEE DataCom 2017) is to establish an international forum for engineers and scientists to present their ideas and experiences in the fields of Big Data intelligence and computing. IEEE DataCom 2017 welcomes paper submissions on innovative work from researchers in academia, industry and government describing original research work in Big Data. Authors of selected papers will be invited to submit an extended version (with at least 30% new material) for review and publication in special issues of international journals.
IEEE DataCom 2017 will be held on November 6-10, 2017 in Orlando, Florida, USA. Topics of interest include, but are not limited to:
- The 5Vs of the data landscape: volume, variety, velocity, veracity, value
- Big data science and foundations, analytics, visualization and semantics
- Software and tools for big data management.
- Security, privacy and legal issues specific to big data
- Big data economy, QoS and business models
- Scientific discovery and business intelligence
- Software, hardware and algorithm co-design, high-performance computing
- Large-scale recommendation systems and graph analysis
- Infrastructures and systems for big data analytics and managements
- Middleware and tools for big data analytics and managements
- Algorithmic, experimental, prototyping and implementation
- Data quality issues: such as validation, metrics, optimizations and consistency
- Data-driven innovation, computational modelling and data integration
- Data intensive computing theorems and technologies
- Big data for advanced manufacturing and productivity
- Modeling, simulation and performance evaluation
- Green data centers / environmental-friendly perspectives
- Computing, scheduling and resource management for sustainability
- Complex applications in areas where massive data is generated
----------------------------------------
PUBLICATION HIGHLIGHTS
----------------------------------------
IEEE CS proceedings, indexed by
- IEEE Xplore
- Scopus
- EI Engineering Index
- ACM Digital Library
- dblp
- Google Scholar
Extended version of the selected papers will be invited for publication in prestigious international journals.
----------------------------
IMPORTANT DATES
----------------------------
Research Track:
Paper Submission - July 27, 2017
Author Notification - August 27, 2017
Poster/Demo/Special Session:
Paper Submission - August 31, 2017
Author Notification - September 6, 2017
Camera ready / registration: September 17, 2017
—-----------------
SUBMISSION
—-----------------
Authors are invited to submit their original research work that has not previously been submitted or published in any other venue. Papers should be prepared in IEEE CS format and submitted via the IEEE DataCom 2017 web site, https://easychair.org/conferences/?conf=ieeedatacom2017
IEEE formatting information:
http://www.ieee.org/conferences_events/conferences/publishing/templates.html
- Proposals for organizing tutorials, workshops and special sessions need to be submitted to the Tutorials, Workshops and Special Sessions Chairs, respectively. A proposal should include title, theme, scope and main presenters/organizers.
- Research paper (8 pages) should explore a specific technology problem and propose a complete solution to it, with experimental results.
- Works-in-Progess (WIP) (6 pages) papers are expected to present either work currently in progress or less developed but highly innovative ideas.
- Demo/Poster papers (4 pages) must describe working systems and be related to DataCom. These systems may be innovative prototype implementations or mature systems that use related technology. Papers/proposals need to be submitted to the Demo/Poster Chair.
- Workshop and Special Session papers need to be submitted to the corresponding workshops and special sessions.
All accepted papers in the main tracks, workshops, special sessions and demos/posters will be published in an IEEE Computer Society proceedings (EI indexed).
Extended versions of selected excellent papers will be considered for publication in special issues of prestige journals (SCI/EI indexed).
-------------------------------
Organizing Committees
-------------------------------
General Chairs
Sanjay Ranka, University of Florida, USA
Hai Jin, HUST, China
Manu Malek, Stevens Inst. of Tech., USA
General Executive Chairs
Jun Wang, University of Central Florida, USA
Tao Li, NSF/UFL, USA
Program Chairs
Anna Kobusinska, Poznan University of Technology, Poland
Xiaolin Li, University of Florida, USA
Wenguang Chen, Tsinghua University, China
Workshop Chairs
I-Hsin Chung, IBM Thomas J. Watson Research Center, USA
Wuu Yang, National Chiao Tung University, Taiwan
Demo/Poster Chair
Che-Rung Lee, Tsing Hua University, Taiwan
Special Session Chair
Hai Jiang, Arkansas State University, USA
Award Chair
Weisong Shi, Wayne State University, USA
International Liaison & Publicity Chair
Bingsheng He, Nanyang Technological University, Singapore
Jun Huang, Chongqing University of Posts and Telecommunications, China
Bahman Javadi, Western Sydney University, Australia
William Liu, Auckland University of Technology, and Zealand
Bhekisipho Twala, Univ. Johannesburg, South Africa
Hao Wang, Norwegian University of Science and Technology, Norway
Sheng-De Wang, National Taiwan University, Taiwan
Publication Chair
Hui-Huang Hsu, Tamkang University, Taiwan
Advisory Committee
Robert Hsu, Chung Hua University, Taiwan
Geoffrey Fox, Indiana University, USA
Yuanyuan Yang, Stony Brook University, USA
Christophe Cérin, University of Paris XIII, France
Yeh-Ching Chung, National Tsing Hua University, Taiwan
Jie Li, University of Tsukuba, Japan
Beniamino Di Martino, Second University of Naples, Italy
Domenico Talia, Università della Calabria, Italy
Vincent S. Tseng, National Chiao Tung Univ. Taiwan
Cho-Li Wang, The Univ. of Hong Kong, Hong Kong
Jinsong Wu, University de Chile, Chile
Jinjun Chen, Swinburne University of Technology, Australia
Please visit the IEEE DataCom 2017 website http://grid.chu.edu.tw/datacom2017/tpc.php
for the complete listing of organizing committee and TPC members.
********************************************************************************
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********************************************************************************
The 5th ICDM Workshop on Data Science and Big Data Analytics (DSBDA 2017)
[http://www.bigdatalab.ac.cn/~dsbda/2017/]
In conjunction with
The IEEE International Conference on Data Mining (ICDM 2017)
[http://icdm2017.bigke.org/]
New Orleans, USA · November 18, 2017
Introduction
================
Due to the rapid development of IT technology including Internet, Cloud
Computing, Mobile Computing, and Internet of Things, as well as the
consequent decrease of cost on collecting and storing data, big data has
been generated from almost every industry and sector as well as
governmental department. The volume of big data often grows exponentially
or even in rates that overwhelm the well-known Moore’s Law. Meanwhile, big
data has been extended from traditional structured data into
semi-structured and completely unstructured data of various types, such as
text, image, audio, video, click streams, log files, etc.
It is no doubt that big data can offer us unprecedented opportunities.
However, it also poses many grand challenges. Due to the massive volume and
inherent complexity, it is extremely difficult to store, aggregate, manage,
and analyze big data and finally mine valuable information/knowledge from
the complex data/information networks. Therefore, in the presence of big
data, the theories, models, algorithms and methods of traditional data
related fields, such as, data mining, data engineering, machine learning,
statistical learning, computer programming, pattern recognition and
learning, visualization, uncertainty modeling, and high performance
computing etc., become no longer effective and efficient. On the other
hand, some data is generated exponentially or super-exponentially in a
streaming manner. Therefore, how to delicately analyze and deeply
understand big data so as to obtain dynamical and incremental information /
knowledge, is a grand challenge. In general, at the era of big data, it is
expected to develop new theories, models, algorithms, methods, and
paradigms for mining, analyzing, and understanding big data, and even a new
inter-discipline, Data Science, for studying the perception, acquisition,
transportation, storage, management, analysis, visualization, and
applications of big data, and finally implement the transformation from
data to knowledge.
DSBDA 2017 aims to provide a networking venue that will bring together
scientists, researchers, professionals, and practitioners from both
industry and academia and from different disciplines (including computer
science, social science, network science, etc.) to exchange ideas, discuss
solutions, share experiences, promote collaborations, and report
state-of-the-art research work on various aspects of data science and big
data analytics.
Topics
================
The topics of interest include, but are not limited to:
* Data science and data analytics
* Acquisition, representation, indexing, storage, and management of big data
* Processing, pre-processing, and post-processing of big data
* Models, algorithms, and methods for big data mining and understanding
* Knowledge discovery and acquisition from big data
* Visualizing analytics and organization for big data
* Streaming data processing
* Context data mining from big Web data
* Social computing over big Web data
* Industrial and scientific applications of big data
* Tools for big data analytics
Submissions
================
The page limit of workshop papers is 8 pages in the standard IEEE 2-column
format (
http://www.ieee.org/conferences_events/conferences/publishing/templates.html),
including the bibliography and any possible appendices. All papers must be
formatted according to the IEEE Computer Society proceedings manuscript
style, following IEEE ICDM 2017 submission guidelines available at
http://icdm2017.bigke.org/. Papers should be submitted in PDF format,
electronically, using the CyberChair submission system:
https://wi-lab.com/cyberchair/2017/icdm17/scripts/submit.php?subarea=SP04&u…
.
Note that all accepted papers will be included in the IEEE ICDM 2017
Workshops Proceedings volume published by IEEE Computer Society Press, and
will also be included in the IEEE Xplore Digital Library. The workshop
proceedings will be in a CD separated from the CD of the main conference.
The CD is produced by IEEE Conference Publishing Services (CPS). Therefore,
papers must not have been accepted for publication elsewhere or be under
review for another workshop, conferences or journals.
Important Dates
================
Submissions Due Date: August 7, 2017
Notifications of Acceptance: September 7, 2017
Camera-Ready Deadline: September 15, 2017
Workshop Date: November 18, 2017
Steering Committee
===================
Prof. Benjamin W. Wah, Chinese University of Hong Kong, China
Prof. Jinpeng Huai, Beihang University, China
Prof. Xueqi Cheng, Institute of Computing Technology, Chinese Academy of
Sciences, China
Workshop Chairs
================
Dr. Xiaolong Jin
Institute of Computing Technology, Chinese Academy of Sciences (CAS), China
Email: jinxiaolong(a)ict.ac.cn
Dr. Jiafeng Guo
Institute of Computing Technology, Chinese Academy of Sciences (CAS), China
Email: guojiafeng(a)ict.ac.cn
Dr. Huewei Shen
Institute of Computing Technology, Chinese Academy of Sciences (CAS), China
Email: shenhuawei(a)ict.ac.cn
Dear colleagues,
We would like to invite you to join us at the 22nd European Symposium on
Research in Computer Security (ESORICS) 2017 in Oslo, Norway!
ESORICS is the annual European research event in Computer Security. The
Symposium started in 1990 and has been held in several European
countries, attracting a wide international audience from both the
academic and industrial communities.
Registration for ESORICS+Workshops 2017 is open, but will end soon.
Early registration deadline is ***August, 15th 2017***
Registration rates:
https://www.ntnu.edu/web/esorics2017/registration
If an invitation letter is needed (e.g. VISA) the letter will be
provided after the registration. To do this, it is necessary to send an
email to the organizing committee: mailto:esorics2017@ntnu.edu
Venu page:
https://www.ntnu.edu/web/esorics2017/venue
Travel and accommodation page:
https://www.ntnu.edu/web/esorics2017/travel-accomodation
We hope to see you in Oslo, Norway!
--
Cristina Alcaraz
ESORICS 2017 Publicity Chair
University of Malaga
==========================================================================
** Call for Papers **
==========================================================================
Third International Workshop on
Heterogeneous High-performance Reconfigurable Computing (H2RC 2017)
Held in conjunction with Supercomputing 2017
Friday Morning, November 17, 2017
Denver, CO
http://h2rc.cse.sc.edu
==========================================================================
Submission Deadline: September 1, 2017 (one 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 in its third year,
brings together HPC and heterogeneous-computing researchers to
demonstrate and share experiences on legacy and new high-level
programming models, optimizations specific to scientific computing and
data analytics, tools for performance/energy improvements, FPGA
computing in the cloud, and popular applications for reconfigurable
computing such as machine learning and big data.
==========================================================================
Submissions (one page extended abstract):
Submissions are solicited that explore the state of the art in the use
of FPGAs in heterogeneous high-performance computing 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. Submissions may report on theoretical or
applied research, implementation case studies, benchmarks, standards, or
any other area that promises to make a significant contribution to our
understanding of heterogeneous high-performance reconfigurable computing
and will help to shape future research and implementations in this
domain.
A non-comprehensive list of potential topics of interest is given below:
1. FPGAs in Supercomputer, Cloud and Data Center: FPGAs in relation to
challenges to Cloud/Data Center/Supercomputing posed by the end of
Dennard scaling
2. Supercomputing, Cloud and Data Center Applications: Exploiting FPGA
compute fabric to implement critical cloud/HPC applications
3. Leveraging Reconfigurability: Using reconfigurability for new
approaches to algorithms used in cloud/HPC applications
4. Benchmarks: Compute performance and/or power and cost efficiency for
cloud/HPC with heterogeneous architectures using FPGAs
5. Implementation Studies: Heterogenous Hardware and Management
Infrastructure
6. Programming Languages/Runtimes/OS/Tools/Frameworks for Heterogeneous
High Performance Reconfigurable Computing
7. Future-gazing: New Applications/The Cloud Enabled by Heterogeneous
High Performance Reconfigurable Computing, Evolution of Computer
Architecture in relation to Heterogeneous High Performance
Reconfigurable Computing
8. Community building: Standards, consortium activity, open source,
education, initiatives to enable and grow Heterogeneous High Performance
Reconfigurable Computing
Prospective authors are invited to submit original and unpublished
contributions as a ONE PAGE EXTENDED ABSTRACT in ACM SIG Proceedings
format.
==========================================================================
You can submit your contribution(s) through a link on the H2RC website:
http://h2rc.cse.sc.edu
==========================================================================
Important dates:
Submission Deadline: September 1, 2017
Acceptance Notification: October 15, 2017
Camera-ready Manuscripts Due: November 4, 2017
Workshop Date: November 17, 2017
==========================================================================
Workshop Format:
H2RC is a half-day Friday workshop. It will be comprised of Keynote and
invited talks and talks selected from paper submissions.
==========================================================================
Organizing Committee:
Workshop Organizers:
Michaela Blott, Xilinx
Franck Cappello, Argonne National Lab
Torsten Hoefler, ETH Zurich
Jason D. Bakos, University of South Carolina
Program Committee:
Rizwan Ashraf, Oak Ridge National Laboratory
Paul Chow, University of Toronto
Carl Ebeling, Altera
Hans Eberle, NVIDIA
Alan George, University of Florida
Christoph Hagleitner, IBM
Miriam Leeser, Northeastern University
Viktor Prasanna, Univ. of Southern California
Marco Santambrogio, Politecnico Di Milano
Jeffrey Vetter, Oak Ridge National Lab
--
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