Special Issue on Parallel and Distributed Data Mining
Information Sciences, Elsevier
The sheer volume of new data, which is being generated at an increasingly fast pace, has already produced an anticipated data deluge that is difficult to challenge. We are in the presence of an overwhelming vast quantity of data, owing to how easy is to produce or derive digital data. Even the storage of this massive amount of data is becoming a highly demanding task, outpacing the current development of hardware and software infrastructure. Nonetheless, this effort must be undertaken now for the preservation, organization and long-term maintenance of these precious data. However, the collected data is useless without our ability fully understand and make use of it. Therefore, we need new algorithms to address this challenge.
Data mining techniques and algorithms to process huge amount of data in order to extract useful and interesting information have become popular in many different contexts. Algorithms are required to make sense of data automatically and in efficient ways. Nonetheless, even though sequential computer systems performance is improving, they are not suitable to keep up with the increase in the demand for data mining applications and the data size. Moreover, the main memory of sequential systems may not be enough to hold all the data related to current applications.
This Special Issue takes into account the increasing interest in the design and implementation of parallel and distributed data mining algorithms. Parallel algorithms can easily address both the running time and memory requirement issues, by exploiting the vast aggregate main memory and processing power of processors and accelerators available on parallel computers. Anyway, parallelizing existing algorithms in order to achieve good performance and scalability with regard to massive datasets is not trivial. Indeed, it is of paramount importance a good data organization and decomposition strategy in order to balance the workload while minimizing data dependences. Another concern is related to minimizing synchronization and communication overhead. Finally, I/O costs should be minimized as well. Creating breakthrough parallel algorithms for high-performance data mining applications requires addressing several key computing problems which may lead to novel solutions and new insights in interdisciplinary applications.
Moreover, increasingly the data is spread among different geographically distributed sites. Centralized processing of this data is very inefficient and expensive. In some cases, it may even be impractical and subject to security risks. Therefore, processing the data minimizing the amount of data being exchanged whilst guaranteeing at the same time correctness and efficiency is an extremely important challenge. Distributed data mining performs data analysis and mining in a fundamentally distributed manner paying careful attention to resource constraints, in particular bandwidth limitation, privacy concerns and computing power.
The focus of this Special Issue is on all forms of advances in high-performance and distributed data mining algorithms and applications. The topics relevant to the Special Issue include (but are not limited to) the following.
TOPICS OF INTEREST
Scalable parallel data mining algorithms using message-passing, shared-memory or hybrid programming paradigms
Exploiting modern parallel architectures including FPGA, GPU and many-core accelerators for parallel data mining applications
Middleware for high-performance data mining on grid and cloud environments
Benchmarking and performance studies of high-performance data mining applications
Novel programming paradigms to support high-performance computing for data mining
Performance models for high-performance data mining applications and middleware
Programming models, tools, and environments for high-performance computing in data mining
Map-reduce based parallel data mining algorithms
Caching, streaming, pipelining, and other optimization techniques for data management in high-performance computing for data mining
Novel distributed data mining algorithms
SUBMISSION GUIDELINES
All manuscripts and any supplementary material should be submitted electronically through Elsevier Editorial System (EES) at http://ees.elsevier.com/ins (http://ees.elsevier.com/ins). The authors must select as “SI:PDDM” when they reach the “Article Type” step in the submission process.
A detailed submission guideline is available as “Guide to Authors” at: http://www.elsevier.com/journals/information-sciences/0020-0255/guide-for-a….
IMPORTANT DATES
Submission deadline: December 1th, 2017
First round notification: March 1th, 2018
Revised version due: May 1st, 2018
Final notification: June 1st, 2018
Camera-ready due: July 1st, 2018
Publication tentative date: October 2018
Guest editors:
Massimo Cafaro, Email: massimo.cafaro(a)unisalento.it
University of Salento, Italy and Euro-Mediterranean Centre on Climate Change, Foundation
Italo Epicoco, Email: italo.epicoco(a)unisalento.it
University of Salento, Italy and Euro-Mediterranean Centre on Climate Change, Foundation
Marco Pulimeno, Email: marco.pulimeno(a)unisalento.it
University of Salento, Italy
-
************************************************************************************
Massimo Cafaro, Ph.D.
Associate Professor
Dept. of Engineering for Innovation
University of Salento, Lecce, Italy
Via per Monteroni
73100 Lecce, Italy
Voice/Fax +39 0832 297371
Web http://sara.unisalento.it/~cafaro
E-mail massimo.cafaro(a)unisalento.it
cafaro(a)ieee.org
cafaro(a)acm.org
CMCC Foundation
Euro-Mediterranean Center on Climate Change
Via Augusto Imperatore, 16 - 73100 Lecce
massimo.cafaro(a)cmcc.it
************************************************************************************
*Apologies for cross posting. Please forward to interested people*
The 4th Conference on Optimization Methods and Software
December 16-20, 2017, Havana, Cuba
http://wias-berlin.de/workshops/oms2017/index.html
It is organized in relation to the 25th anniversary of the journal
Optimization Methods and Software (OMS)
http://www.tandfonline.com/goms
The conference aims to review and discuss recent advances and promising
research trends in optimization theory, methods, applications and
software development.
*TOPICS* include, but are certainly not limited to the following subjects:
Linear and Nonlinear Optimization; Integer and Combinatorial
Optimization; Convex and Nonsmooth Optimization; Global Optimization;
Semi-definite Optimization; Semi-infinite Optimization; Multi-objective
Optimization; Stochastic Optimization; Complementarity and Variational
Inequality Problems; Derivative-free Optimization; Network Optimization;
Scheduling Problems; Optimal Control; Inverse Problems; Automatic
Differentiation; Optimization Software.
*PLENARY SPEAKERS* the list is composed of OMS board members
http://wias-berlin.de/workshops/oms2017/Speaker.html
Andrew R. Conn (USA)
Claudia D'Ambrosio (France)
Jonathan Eckstein (USA)
Serge Gratton (France)
Andreas Griewank (Ecuador)
Francesca Guerriero (Italy)
Roland Herzog (Germany)
Michael Hintermüller (Germany)
Thorsten Koch (Germany)
José Mário Martinez (Brazil)
Athanasios Migdalas (Sweden)
Yurii E. Nesterov (Belgium)
Dominique Orban (Canada)
Panos M. Pardalos (USA)
Florian A. Potra (USA)
Fabio Schoen (Italy)
Anthony Man-Cho So (Hong Kong)
Tamas Terlaky (USA)
Philippe Toint (Belgium)
Stefan Ulbrich (Germany)
Robert Vanderbei (USA)
E. Alper Yildirim (Turkey)
Ya-xiang Yuan (China)
*ABSTRACT SUBMISSION AND CONFERENCE PUBLICATIONS*
Abstracts should not exceed 400 words. Details of the submission are
available on the conference web site.
http://wias-berlin.de/workshops/oms2017/reg.html
Papers presented at the conference will be considered for peerreviewed
publication in a special issue of the journal Optimization Methods and
Software.
*SESSION ORGANIZATION*
Proposals of organizing sessions are welcome and can be sent to
Tamás Terlaky by email terlaky[at] lehigh.edu
*DATES AND DEADLINES*
Abstract submissions: October 15, 2017
Notification of acceptance: October 31, 2017
Early registration: November 15, 2017
*REGISTRATION FEE* (early/late) in the Cuban Convertible Peso (CUC)
Regular participant: 350/400 CUC
Student: 150/175 CUC
Accompanying person: 100/120 CUC
*REGISTER AT*
http://wias-berlin.de/workshops/oms2017/reg.html
*CONFERENCE ORGANIZERS*
Oleg Burdakov (Sweden), Conference Chair
Tamás Terlaky (USA), Program Committee Chair
José Mário Martinez (Brazil), Organizing Committee Chair
Michael Hintermüller (Germany), Organizing Committee co-Chair
Emre Alper Yildirim (Turkey), Organizing Committee co-Chair
Sira M. Allende (Cuba), Local Organizing Committee Chair
--
....................................................................
Oleg Burdakov,
Editor-in-Chief of the journal Optimization Methods & Software (OMS)
http://www.tandfonline.com/goms
Division of Optimization, | Phone: +46 13 281473
Department of Mathematics, | Mobile: +46 (0)70 0895219
Linkoping University, | E-mail: Oleg.Burdakov(a)liu.se
SE - 58183 Linkoping, Sweden | http://users.mai.liu.se/olebu87/
::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
(sorry for cross postings)
**************************************************************************
CALL FOR PAPERS:
Fifth Special Session on High Performance Computing in Modelling and
Simulation (HPCMS)
Within PDP 2018
The 26th Euromicro International Conference on Parallel, and
Network-Based Computing
Cambridge, UK
21-23 March 2018
http://www.pdp2018.org/specialsessions/hpcms.html
EXTENDED Deadline: November 3rd, 2017
Contact: William Spataro - spataro(a)unical.it
*************************************************************************
AIMS AND SCOPE
The development of models through which computers can simulate the
evolution of artificial and natural systems is fundamental for the
advancement of Science. In the last decades, the increasing power of
computers has allowed to considerably extend the application of
computing methodologies in research and industry, but also to the
quantitative study of complex phenomena. This has permitted a broad
application of numerical methods for differential equation systems
(e.g., FEM, FDM, etc.) on one hand, and the application of alternative
computational paradigms, such as Cellular Automata, Genetic
Algorithms, Neural networks, Swarm Intelligence, etc., on the other.
These latter have demonstrated their effectiveness for modelling
purposes when traditional simulation methodologies have proven to be
impracticable.
Following the success of our past HPCMS workshops which were held in
Turin, Turku and Crete, we are glad to invite you to our fourth
edition which will take place in St. Petersburg (Russia).
An important mission of the HPCMS Workshop is to provide a platform
for a multidisciplinary community composed of scholars, researchers,
developers, educators, practitioners and experts from world leading
Universities, Institutions, Agencies and Companies in Computational
Science, and thus in the High Performance Computing for Modelling and
Simulation field.
HPCMS intent is to offer an opportunity to express and confront views
on trends, challenges, and state-of-the art in diverse application
fields, such as engineering, physics, chemistry, biology, geology,
medicine, ecology, sociology, traffic control, economy, etc.
Topics of interest include, but are not limited to, the following:
- High-performance computing in computational science:
intra-disciplinary and multi-disciplinary research applications
- Complex systems modelling and simulation
- Cellular Automata, Genetic Algorithms, Neural networks, Swarm
Intelligence implementations
- Integrated approach to optimization and simulation
- MPI, OpenMP, GPGPU applications in Computational Science
- Optimization algorithms, modelling techniques related to
optimization in Computational Science
- High-performance Software developed to solve science (e.g.,
biological, physical, and social), engineering, medicine, and
humanities problems
- Hardware approaches of high performance computing in modeling and simulation
IMPORTANT DATES
Paper submission: 3rd Nov 2017
Acceptance notification: 1st Dec 2017
Camera ready due: 22nd Dec 2017
Conference: 21th - 23th Mar 2018
Submission guidelines
Prospective authors should submit a full paper not exceeding 8 pages
in the IEEE Conference proceedings format (IEEEtran, double-column,
10pt). Double-bind review: the first page of the paper should contain
only the title and abstract; in the reference list, references to the
authors’ own work should appear as "omitted for blind review" entries.
For submission, please use the following link:
http://www.easychair.org/conferences/?conf=pdp2018
Manuscript submission Publication
All accepted papers will be included in the same volume, published by
the Conference Publishing Services (CPS). The Final Paper Preparation
and Submission Instructions will be published after the notification
of acceptance. Authors of accepted papers are expected to register and
present their papers at the Conference. Conference proceedings will be
submitted for inclusion in Xplore and the CSDL, and for indexing,
among others, to DBLP, Scopus ScienceDirect, and ISI Web of Knowledge.
Special Issue
As for previous editions, organizers of the HPCMS session are planning
a Special Issue of an important international ISI Journal, based on
distinguished papers that will be accepted for the session. For
instance, a selected number of papers of the past workshop editions
have been published on the ISI Journal “International Journal of High
Performance Computing Applications” and “Concurrency and Computation:
Practice and Experience”.
Organizers
William Spataro – University of Calabria, Italy
Georgios Sirakoulis - Democritus University of Thrace, Greece
Giuseppe A. Trunfio – University of Sassari, Italy
Program Committee
Gihan R. Mudalige, University of Warwick, UK
Angelos Amanatiadis, Democritus University of Thrace, Greece
Donato D’Ambrosio, University of Calabria, Italy
Pawel Topa, AGH University of Science and Technology, Poland
Gianluigi Folino, ICAR-CNR, Italy
Lou D’Alotto, York College/CUNY, New York, USA
Antonios Gasteratos, Democritus University of Thrace, Greece
Ioakeim Georgoudas, Democritus University of Thrace, Greece
Marco Beccutti, University of Torino, Italy
Rolf Hoffmann, Darmstadt University, Germany
Ioannis Karafyllidis, Democritus University of Thrace, Greece
Yaroslav Sergeyev, University of Calabria, Italy
Antisthenis Tsompanas, University of the West of England, UK
Rocco Rongo, University of Calabria, Italy
Georgios Sirakoulis, Democritus University of Thrace, Greece
William Spataro, University of Calabria, Italy
Giuseppe A. Trunfio, University of Sassari, Italy
Marco Villani, University of Modena and Reggio Emilia, Italy
Jaroslaw Was, AGH University of Science and Technology, Poland
Davide Spataro, University of Calabria, Italy
Massimo Cafaro, University of Salento, Italy
Mario Cannataro, University Magna Graecia of Catanzaro, Italy
--
°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°
William Spataro
Department of Mathematics & Computer Science
High Performance Computing Center
University of Calabria
I-87036 Arcavacata di Rende (CS)
Italy
Phone(s) : +39.0984.49.3691 / 4875 / 6464
Fax : +39.0984.493570
Member of the OpenCAL Team (https://github.com/OpenCALTeam)
Web: www.mat.unical.it/spataro
Email: spataro(a)unical.it
-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°
--
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Il banner è generato automaticamente dal servizio di posta elettronica
dell'Università della Calabria
<http://www.unical.it>
Dear Colleague,
(Apologies for multiple postings)
We would like to invite you to submit your contributions to the 1st
International Workshop on Big Data Analytic for Cyber Crime
Investigation and Prevention. It is co-located with IEEE International
Conference on Big Data 2017 that will take place in Boston, USA,
December 11-14, 2017.
Workshop webpage: https://www.ntnu.edu/iik/digital_forensics/ieeebigdata2017
*** IMPORTANT DATES ***
Oct 10, 2017 (Extended): Due date for full workshop papers submission
Nov 1, 2017 (Extended): Notification of paper acceptance to authors
Nov 15, 2017: Camera-ready for accepted papers
Dec 11-14, 2017: Workshops
*** INTRODUCTION ***
The big data paradigm has become inevitable in every aspect of the
digital forensics process. Increase in personal devices (such as
computers, smart phones, tablets, sensors and storage mediums) results
in an expanding volume of potential evidence found in them. The increase
in data is one of the largest challenges facing law enforcements’ timely
prosecutions; with the effect, that human analysts can no longer be the
lone actor in the loop. There is a need to create innovative and
advanced models and analysis methods to help human analysts within law
enforcements in order to automatically aid with the discovery,
correlation, examination, analysis and understanding of evidence in
criminal cases. Advanced big data analytics are important for cybercrime
investigation and require novel approaches for automation.
*** PROPOSED TOPICS ***
Note that the topics are not limited to this proposed list.
1. Algorithms
- Machine learning-aided analysis
- Graph-based detection
- Topic modeling
- Secure platforms
- Distributed storage and processing
- Secure collaborative platforms
2. Applications
- Network forensics readiness
- Cyber threats intelligence
- Malware analysis and detection
- Emails mining
- Events correlations
- Access logs analysis
- Mobile and Internet of Things forensics
- Fraud detection
- Database forensics
3. Data
- Novel datasets
- Digital forensics data simulation
- Anonymised case data
- Data storage standards
- New formats and taxonomies
*** PROGRAM CO-CHAIRS ***
Andrii Shalaginov, Norwegian University of Science and Technology
Katrin Franke, Norwegian University of Science and Technology
Jan William Johnsen, Norwegian University of Science and Technology
*** PROGRAM COMMITTEE ***
Asif Iqbal (KTH Royal Institute of Technology)
Bojan Kolosnjaji (Technical University of Munich)
Carl Leichter (Norwegian University of Science and Technology)
Dmitry Kangin (University of Exeter)
Emiliano Casalicchio (Blekinge Institute of Technology)
Ethan Rudd (University of Colorado Colorado Springs)
Hamid Ebadi (Chalmers University of Technology)
Hanno Langweg (Konstanz University of Applied Sciences)
Heri Ramampiaro (Norwegian University of Science and Technology)
Martin Boldt (Blekinge Institute of Technology)
Michael McGuire (Towson University)
Olaf M. Maennel (Tallinn University of Technology)
Pavel Gladyshev (Dublin School of Computer Science)
Pierre Lison (Norwegian Computing Centre)
*** PAPER SUBMISSION ***
Our workshop invites authors to submit: full-length papers (up to ten
pages), short papers (up to six pages) or abstract papers (up to three
pages) through the online submission system:
https://wi-lab.com/cyberchair/2017/bigdata17/scripts/submitform.php?subarea…
Papers have to follow the IEEE 2-column format and the Computer Society
Proceedings Manuscript Formatting Guidelines. See formatting
instructions here:
https://www.ntnu.edu/iik/digital_forensics/ieee-bigdata-2017-formatting-ins…
*** BEST PAPERS ***
Selected papers are nominated for submission to “Special Issue on Cyber
Threat Intelligence and Analytics”. Extended papers should have at least
60% of new material and will be sent through a review process to ensure
the quality of contributions.
*** CONTACTS***
If you have any questions, do not hesitate to contact Andrii Shalaginov
(andrii.shalaginov(a)ntnu.no) and Jan William Johnsen (jan.w.johnsen(a)ntnu.no).
Best regards,
Andrii Shalaginov, on behalf of
Katrin Franke and Jan William Johnsen
Norwegian University of Science and Technology, Gjøvik, Norway
** SIMPDA 2017 **
[Apologies if you receive multiple copies of this cfp]
****************************************************************************
***
SIMPDA 2017
SEVENTH INTERNATIONAL SYMPOSIUM ON DATA-DRIVEN PROCESS DISCOVERY AND
ANALYSIS
6-8 DECEMBER, 2017 - NEUCHATEL, SWITZERLAND
http://simpda2017.di.unimi.it
****************************************************************************
***
## About SIMPDA
With the increasing automation of business processes, growing amounts of
process data become available. This opens new research opportunities for
business process data analysis, mining and modeling. The aim of the IFIP 2.6
International Symposium on Data-Driven Process Discovery and Analysis is to
offer a forum where researchers from different communities and the industry
can share their insight in this hot new field.
The Symposium will feature a number of keynotes illustrating advanced
approaches, shorter presentations on recent research, a competitive PhD
seminar and selected research and industrial demonstrations. This year the
symposium will be held in Neuchatel.
###Call for Papers
The IFIP International Symposium on Data-Driven Process Discovery and
Analysis (SIMPDA 2017) offers a unique opportunity to present new approaches
and research results to researchers and practitioners working in business
process data modelling, representation and privacy-aware analysis.
The symposium will bring together leading researchers, engineers and
scientists from around the world. Full papers must not exceed 15 pages.
Short papers are limited to at most 4 pages. All papers must be original
contributions, not previously published or under review for publication
elsewhere. All contributions must be written in English and must follow the
LNCS Springer Verlag format. Templates can be downloaded from:
http://www.springer.de/comp/lncs/authors.html
Accepted papers will be published in a pre-proceeding volume of CEUR
workshop series. The authors of the accepted papers will be invited to
submit extended articles to a post-symposium proceedings volume which will
be published in the LNBIP series (Lecture Notes in Business Information
Processing, http://www.springer.com/series/7911), scheduled for late 2018
(extended papers length will be between 7000 and 9000 words). Around 10-15
papers will be selected for publication after a second round of review.
### Topics
Topics of interest for submission include, but are not limited to:
- Business Process Modeling languages, notations and methods
- Lightweight Process Model
- Data-aware and data-centric approaches
- Process Mining with Big Data
- Variability and configuration of process models
- Process simulation and static analyses
- Process data query languages
- Process data mining
- Privacy-aware process data mining
- Process metadata and semantic reasoning
- Process patterns and standards
- Foundations of business process models
- Resource management in business process execution
- Process tracing and monitoring
- Process change management and evolution
- Business process lifecycle
- Case studies and experience reports
- Social process discovery
- Crowdsourced process definition and discovery
### Workshop Format:
In accordance to our historical tradition of proposing SIMPDA as a
symposium, we propose an innovative format for this workshop:
The number of sessions depend on the number of submissions but, considering
the previous editions, we envisage to have four sessions, with 4-5 related
papers assigned to each session. A special session (with a specific review
process) will be dedicated to discuss research plan from PhD students.
Papers are pre-circulated to the authors that will be expected to read all
papers in advance but to avoid exceptional overhead, two are assigned to be
prepared with particular care, making ready comments and suggestions.
The bulk of the time during each session will be dedicated to open
conversations about all of the papers in a given session, along with any
linkages to the papers and discussions within an earlier session.
The closing session (30 minutes), will include a panel about open challenges
during which every participant will be asked to assemble their
thoughts/project ideas/goals/etc that they got out of the workshop.
### Call for PhD Research Plans
The SIMPDA PhD Seminar is a workshop for Ph.D. students from all over the
world. The goal of the Seminar is to help students with their thesis and
research plans by providing feedback and general advice on how to use their
research results.
Students interested in participating in the Seminar should submit an
extended abstract describing their research. Submissions can relate to any
aspect of Process Data: technical advances, usage and impact studies, policy
analyses, social and institutional implications, theoretical contributions,
interaction and design advances, innovative applications, and social
implications.
Research plans should be at most of 5 page long and should be organised
following the following structure:
- Abstract: summarises, in 5 line, the research aims and significance.
- Research Question: defines what will be accomplished by eliciting the
relevant the research questions.
- Background: defines the background knowledge providing the 5 most relevant
references (papers or books).
- Significance: explains the relevance of the general topic and of the
specific contribution.
- Research design and methods: describes and motivates the method adopted
focusing on: assumptions, solutions, data sources, validation of results,
limitations of the approach.
- Research stage: describes what the student has done so far.
### SIMPDA PhD award
A doctoral award will be given by the SIMPDA PhD Jury to the best research
plan submitted.
Student Scholarships
An application for a limited number of scholarships aimed at students coming
from emerging countries has been submitted to IFIP.
In order to apply, please contact paolo.ceravolo(a)unimi.it
### CALL for Demonstrations and Posters
Demonstrations showcase innovative technology and applications, allowing for
sharing research work directly with colleagues in a high-visibility setting.
Demonstration proposals should consist of a title, an extended abstract, and
contact information for the authors, and should not exceed 10 pages.
Posters allow the presentation of late-breaking results in an informal,
interactive manner. Poster proposals should consist of a title, an extended
abstract, contact information for the authors, and should not exceed 2
pages.
Accepted demonstrations and posters will be presented at the symposium.
Abstracts will appear in the proceedings.
### Important Dates
- Paper Submission: 4 October 2017
- Submission of PhD Presentations: 4 October 2017
- Notification of Acceptance: 14 November 2017
- Submission of Camera Ready Papers: 28 November 2017
- Second International Symposium on Process Data: 6-8 December 2017
- Post-proceeding submissions: 30 March 2018
## Keynote Speakers
* Enabling largely automated social media analytics *
Karl Aberer
Distributed Information Systems Laboratory (LSIR), EPFL
In this talk we will report on our recent advances in automating the
analysis of social media data. We first will review our recent work on a
platform for analysing social media data in terms of topics discussed,
communities and their influencers. This platform has been successfully used
in a number of practical use case. When using the platform we identified the
creation of domain-specific taxonomies as the main bottleneck in the
analysis process.
To tackle this issue we developed a novel method for taxonomy induction from
domain-specific document corpora. In the second part of the talk we will
discuss this method and some of the novel ideas that enabled us to produce
high quality domain-specific taxonomies on the fly.
## Organizers
### CHAIRS
- Paolo Ceravolo, Università degli Studi di Milano, Italy
- Maurice van Keulen, University of Twente, The Netherlands
- Kilan Stoffel, University of Neuchatel, Switzerland
### ADVISORY BOARD
- Ernesto Damiani, Università degli Studi di Milano, Italy
- Erich Neuhold, University of Vienna, Austria
- Philippe Cudré-Mauroux , University of Fribourg, Switzerland
- Robert Meersman, Graz University of Technology, Austria
- Wilfried Grossmann, University of Vienna, Austria
### Program Committee
- Akhil Kumar, Penn State University, USA
- Benoit Depaire, University of Hasselt, Belgium
- Chintan Mrit, University of Twente, The Netherlands
- Christophe Debruyne, Trinity College Dublin, Ireland
- Ebrahim Bagheri, Ryerson University, Canada
- Edgar Weippl, TU Vienna, Austria
- Fabrizio Maria Maggi, University of Tartu, Estonia
- George Spanoudakis, City University London, UK
- Haris Mouratidis, University of Brighton, UK
- Isabella Seeber, University of Innsbruck, Austria
- Jan Mendling, Vienna University of Economics and Business, Austria
- Josep Carmona, UPC - Barcelona, Spain
- Kristof Boehmer, University of Vienna, Austria
- Manfred Reichert, Ulm University, Germany
- Marcello Leida, TAIGER, Spain
- Mark Strembeck, WU Vienna, Austria
- Massimiliano De Leoni, Eindhoven TU, Netherlands
- Matthias Weidlich, Imperial College, UK
- Mazak Alexandra, University of Vienna, Austria
- Mohamed Mosbah, University of Bordeaux
- Mustafa Jarrar, Birzeit University, Palestine
- Robert Singer, FH Joanneum, Austria
- Roland Rieke, Fraunhofer SIT, Germany
- Schahram Dustdar, Vienna University of Technology, Austria
- Thomas Vogelgesang, University of Oldenburg, Germany
- Valentina Emilia Balas, University of Arad, Romania
- Wil Van der Aalst, Technische Universiteit Eindhoven, The Netherlands
==========================================================================
** 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 (EXTENDED):
September 15, 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 (extended): September 15, 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.
Preliminary Agenda:
8:30 a.m. Opening Remarks
8:35 a.m. Keynote 1: FPGAs in AWS and First Use Cases (joint talk by
AWS, Ngcodc and Xilinx)
9:35 a.m. Lightning Talks
10:00 a.m. Coffee break
10:30 a.m. Keynote 2: Brainwave (Microsoft Research)
11:30 p.m. Lightning talks
12:00 p.m. Invited talk
12:30 p.m. Adjorn
==========================================================================
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
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
The Society for the Study of Artificial Intelligence and Simulation for Behaviour (AISB) is soliciting proposals for symposia to be held at the AISB 2018 convention.
The longest running convention on Artificial Intelligence, AISB 2018 will be held at the University of Liverpool, chaired by Floriana Grasso and Louise Dennis. As in the past years, AISB 2018 will provide a unique forum for presenting cutting edge research and burning issues around all areas of AI. The theme for this year is "AI for the Digital Society".
Convention Format
The convention will consist of parallel symposia, and will run from April 4th to April 6th 2018. Symposia will typically span half a day or one day; where the number of high quality submissions is high, a symposium will last more than one day. Symposia can include any type of event of academic benefit: talks, posters, panels, performances, discussions, demonstrations, outreach sessions, etc.
Important dates
* Deadline for symposium proposals: 15th September 2017
* Notification to proposers of accepted symposia: 30th September 2017
* Final papers delivered for the (online) proceedings: 16th March 2018 - THIS IS A HARD DEADLINE
* Convention 4th-6th April 2018, depending on the number of symposia.
There may be a day of workshops or tutorials immediately before the convention (3rd April 2018).
More information here: http://aisb2018.csc.liv.ac.uk/cfs.html
Completed proposals should be submitted to the committee via EasyChair at https://easychair.org/conferences/?conf=aisb2018
Dr Floriana Grasso
Department of Computer Science
University of Liverpool
A: G16, Ashton Building, Liverpool L69 3GJ, United Kingdom
P: +44 (0)151 795 4240
W: http://www.csc.liv.ac.uk/~floriana/<https://owa.liv.ac.uk/owa/redir.aspx?C=1OE2ZazJZs-L4GmGx9B1nWJiy_BTGDn5Ku4w…>
ATHENA SWAN<https://owa.liv.ac.uk/owa/redir.aspx?C=zUOqaFp7BOiTh7TlnCjzRPMBzRioAqwhkrIp…> - recognising and celebrating good employment practice for women working in science, technology, engineering, maths and medicine (STEMM) in higher education and research
Dear Colleague,
I am deeply pathetic to share the sad news that Prof. Lotfi A. Zadeh has passed away on Sept. 6, 2017 in age of 97.
Prof. Zadeh has been our Honorary Chair for the IEEE ICCI*CC Series since 2002. His vision has guided us to build the Cognitive Informatics and Cognitive Computing Community and related research in the last 16 years.
Prof. Zadeh was a giant scientist of the world. His seminal work in logic, fuzzy mathematics, and soft computing, etc., have and will influence many generations of researchers and students. We will remember his pioneer contributions to knowledge forever.
As Stuart Rubin wrote: "I would like to share some words, which I believe he would have shared with you, if I may:
'Though I am bodily gone, I will continue on in your hearts and sole - more fuzzy now than ever so long as you remember me and my work.'
Rest in peace, dear Lotfi.
With our best regards,
Yingxu Wang
Chair, The Steering Committee of IEEE ICCI*CC Conference Series
--------------------------------------------------------------------------------------------
Yingxu Wang, PhD, FBCS, FICIC, FWIF, SMIEEE, SMACM, PEng
Professor of Computational Intelligence, Software Science, Brain Science, & Denotational Mathematics
Visiting Professor: Stanford Univ. (2008|16), MIT (2012), UC Berkeley (2008), Oxford Univ. (1995)
President, International Institute of Cognitive Informatics and Cognitive Computing (ICIC, http://www.ucalgary.ca/icic/)
Director, Lab for Computational Intelligence and Cognitive Systems
Dept. of Electrical and Computer Engineering
Schulich School of Engineering (SSE) and Hotchkiss Brain Institute (HBI)
University of Calgary
2500 University Drive, NW
Calgary, AB, Canada T2N 1N4
Tel: (403) 220-6141 Fax: (403) 282-6855
http://schulich.ucalgary.ca/profiles/yingxu-wanghttp://www.researchgate.net/profile/Yingxu_Wang
------------------------------------------------------------------------------------------
Editor-in-Chief, International Journal of Cognitive Informatics and Natural Intelligence (IJCINI)
Editor-in-Chief, International Journal of Software Science and Computational Intelligence (IJSSCI)
Associate Editor, IEEE Transactions on System, Man, and Cybernetics- Systems
Editor-in-Chief, Journal of Advanced Mathematics and Applications (JAMA)
Editor-in-Chief, Journal of Mathematical and Computational Methods (JMCM)
<http://www.researchgate.net/institution/The_University_of_Calgary/stats>
------------------------------------------------------------------------------------------
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Postdoctoral position in computer science at IRISA laboratory (France,
Rennes) : Automatic « Clustering » of handwriting gestures
We apologize in advance if you receive multiple copies of this CFP.
This position is related to the new project “e-fran” called ACTIF with a 4
years funding from the French government (“programme investissement d’avenir”).
ACTIF aims at designing and experimenting tools and pedagogical approaches
to help the “active” and “collaborative” learning in secondary school based
on digital tablets oriented “stylus”. Among the partnership of the project
can be cited INSA, IRISA, LP3C, Loustic, the company Script&Go, the Brittany
region and the academy of Rennes.
* Institution : INSA Rennes, IRISA Laboratory
* Service : INTUIDOC research team – IRISA (France)
* Project : e-fran /ACTIF (Learning et Collaboration with digital
Tablets, Interactions and Feedback)
* Position available from: September 1st, 2017
* Duration : fixed-term contract of 12 months (possibility of
extension)
* Salary: around 2100 € / month (net)
Job description :
<https://www-intuidoc.irisa.fr/files/2017/09/PostDoctoral-Automatic-Clusteri…>https://www-intuidoc.irisa.fr/files/2017/09/PostDoctoral-Automatic-Clusteri… must have a completed PhD and research experience in patternrecognition.Candidates should send a CV and a motivation letter toeric.anquetil(a)irisa.fr.---Eric ANQUETILProfessor at INSA, IRISA LaboratoryHead of Intuidoc team (http://www.irisa.fr/intuidoc)Program Manager of the Master of Science "Innovation and Entrepreneurship"Phone : +33 (0)6 22 93 44 18
FIRST ANNOUNCEMENT AND CALL FOR PAPERS
Parallel Computational Technologies (PCT'2018),
12th International Scientific Conference, April 2-6, 2018, Rostov-on-Don, Russia
http://agora.guru.ru/pavt/eng
Conference founders:
Russian Academy of Sciences (http://www.ras.ru)
HPC Consortium of Russian Universities (http://hpc-russia.ru)
Sponsored by
Russian Foundation for Basic Research (http://www.rfbr.ru/rffi/eng)
WELCOME
Russian Academy of Sciences, High-Performance Computing Consortium of Russian Universities, Moscow State University, Don State Technical University, and South Ural State University are jointly organizing the 12th International Scientific Conference on Parallel Computational Technologies (PCT'2018) to be held in Rostov-on-Don, Russia, April 2-6, 2018.
The main purpose of the PCT'2018 conference is to provide an opportunity to discuss the future of parallel computing as well as to report the results achieved by leading research groups in solving science and equipment issues using supercomputer technologies.
The scope of the conference includes all aspects of high performance computing in science and technology such as applications, hardware and software, programming languages, etc.
The 28th edition of Top50 of the CIS's most powerful computers will be announced on the first day of the conference.
On working days of the conference, a supercomputer exhibition will be organized, where leading manufacturers of hardware and software present their latest products in the field of high performance computing.
LANGUAGE
The official languages of the Conference are Russian and English.
SCOPE
The scope of the conference includes, but not limited to, the following topics:
* Parallel and distributed computing technologies
* Cloud computing
* Prospective multiprocessor architectures
* Parallel and distributed database systems
* High performance data mining
* Artificial neural networks and deep learning
* Management, administration, monitoring and testing of multiprocessor systems
* Computational Mathematics
* Computational Physics
* Computational Chemistry
* Gas hydrodynamics and heat transfer
* High nonlinear and rapid processes in mechanics
* Bioinformatics and medicine
* Nanotechnology
* Geoinformatics
* Cryptography
* Image processing and visualization
* Computer algebra
* Supercomputer education.
CALL FOR PAPERS
PCT'2018 admits papers presenting original contribution that have not been previously published and are not being submitted to another conference or journal.
There are three categories of submissions:
* Full paper describes the results of completed scientific research (12 to 15 pages in the LNCS one-column page format).
* Short paper reports preliminary results of uncompleted scientific research (up to 12 pages in the LNCS one-column page format).
* Abstract of the poster contains information about plans and initial results of recently started scientific research (one standard A4 page).
Papers may be prepared in LaTeX or MS Word according to the LNCS one-column page format (cf. guidelines at the conference website http://agora.guru.ru/pavt2018/, "For Authors" section). Papers should be submitted electronically in PDF format through EasyChair system https://easychair.org/conferences/?conf=pct2018 by December 1, 2017.
Each paper will be reviewed by three Program Committee members and/or invited experts to ensure high quality and relevance to the conference.
At least one author of the accepted paper must attend the conference and present the paper.
PROCEEDINGS
All accepted full papers will be published in Springer's Communications in Computer and Information Science series (indexed in Web of Science and Scopus). All accepted short papers and posters will be published electronically and indexed in Russian Science Index.
The best short papers will be published (after further revision) in Computational Mathematics and Software Engineering series of the Bulletin of the South Ural State University (http://vestnikvmi.susu.ru/).
IMPORTANT DATES
* Submission of abstracts: November 1, 2017
* Submission of the papers: December 1, 2017
* Notification of acceptance: January 15, 2018
* Camera-ready version: February 15, 2018
* Registration for participation in supercomputer exhibition: February 25, 2018
* Registration of participants (non-speakers): March 26, 2018
* Conference: April 2-6, 2018
April 2: arrival date
April 3-5: conference work dates
April 6: departure date
CONTACT INFORMATION
WEB PAGES
Conference web site: http://agora.guru.ru/pavt/eng
Submission web site: https://easychair.org/conferences/?conf=pct2018.
Leonid Sokolinsky, DSc., Prof. (SUSU, Chelyabinsk)
Co-chair of the PCT Program Committee
E-mail: Leonid.Sokolinsky(a)susu.ru
Tel.: (+7-351) 272 35 00
Mikhail Zymbler, CSc., Assoc. Prof. (SUSU, Chelyabinsk)
Academic secretary of the PCT Program Committee
E-mail: mzym(a)susu.ru
Tel.: (+7-351) 267 90 06, ext. 112
PROGRAM COMMITTEE
Chairman of the Program Committee:
Viktor Sadovnichiy, academician of RAS, Moscow State University (Russia)
Co-chairs of the Program Committee:
Jack Dongarra, University of Tennessee (USA)
Leonid Sokolinsky, South Ural State University (Russia)
Vladimir Voevodin, corresponding member of RAS, Moscow State University (Russia)
Academic secretary of the Program Committee:
Mikhail Zymbler, South Ural State University (Russia)
Members of the Program Committee:
S.V. Ablameyko, Belarusian State University (Republic of Belarus)
A.P. Afanasiev, Institute for Systems Analysis RAS (Russia)
E.N. Akimova, Institute of Mathematics and Mechanics UrB RAS (Russia)
A. Andrzejak, Heidelberg University (Germany)
P. Balaji, Argonne National Laboratory (USA)
Y.Ya. Boldyrev, Saint-Petersburg Polytechnic University (Russia)
J. Carretero, Carlos III University of Madrid (Spain)
R.K. Gazizov, Ufa State Aviation Technical University (Russia)
V.P. Gergel, State University of Nizhny Novgorod (Russia)
B.M. Glinsky, Institute of Computational Mathematics and Mathematical Geophysics SB RAS (Russia)
V.D. Goryachev, Tver State Technical University (Russia)
V.P. Il'in, Institute of Computational Mathematics and Mathematical Geophysics SB RAS (Russia)
H. Kobayashi, Tohoku University (Japan)
J. Kunkel, University of Hamburg (Germany)
J. Labarta, Barcelona Supercomputing Center (Spain)
A. Lastovetsky, University College Dublin (Ireland)
T. Ludwig, German Climate Computing Center (Germany)
V.N. Lykosov, Institute of Numerical Mathematics RAS (Russia)
D. Mallmann, Julich Supercomputing Centre (Germany)
M. Michalewicz, A*STAR Computational Resource Centre (Singapore)
V.E. Malyshkin, Institute of Computational Mathematics and Mathematical Geophysics SB RAS (Russia)
V.Ya. Modorsky, Perm Polytechnic University (Russia)
A.V. Shamakina, High Performance Computing Center in Stuttgart (Germany)
P. Shumyatsky, University of Brasilia (Brazil)
H. Sithole, Centre for High Performance Computing (Republic of South Africa)
A.V. Starchenko, Tomsk State University (Russia)
T. Sterling, Indiana University (USA)
M. Taufer, University of Delaware (USA)
V.E. Turlapov, State University of Nizhny Novgorod (Russia)
R. Wyrzykowski, Czestochowa University of Technology (Poland)
M.V. Yakobovsky, Institute for Mathematical Modelling RAS (Russia)
Y. Yamazaki, Federal University of Pelotas (Brazil)