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Today's Topics:
1. CanaDAM -- 2017 Call for submissions (Pawel Pralat)
2. CFP: DCOSS 2017 *EXTENDED DEALINE* - January 20th, 2017
(Robson De Grande)
3. Call For Papers: ParLearning 2017 (Arindam Pal)
----------------------------------------------------------------------
Message: 1
Date: Thu, 12 Jan 2017 11:53:04 -0500
From: Pawel Pralat <pralat@ryerson.ca>
To: dmanet@zpr.uni-koeln.de
Subject: [DMANET] CanaDAM -- 2017 Call for submissions
Message-ID: <2EF18800-9B15-40C2-B224-75DC867552ED@ryerson.ca>
Content-Type: text/plain; charset=utf-8
CanaDAM -- 2017 Call for submissions
The sixth Canadian Discrete and Algorithmic Mathematics conference (CanaDAM) https://canadam.math.ca/2017/ <https://canadam.math.ca/2017/> will be held June 12-15, 2017 at Ryerson University in Toronto, Ontario, Canada.
The general topic of the conference is the theory and applications of discrete structures. Its goal is to highlight the most salient trends in the field. The conference will bring together researchers from the various disciplines with which discrete and algorithmic mathematics interact. The CanaDAM conference is held in odd numbered years using a format similar to the SIAM conference on Discrete Mathematics. Particular areas of interest include graphs and digraphs, hypergraphs, matroids, ordered sets, designs, coding theory, enumeration, combinatorics of words, discrete optimization, discrete and computational geometry, lattice point enumeration, combinatorial algorithms, computational complexity, and applications of discrete and algorithmic mathematics, including (but not limited to) web graphs, computational biology, communication networks and information processing.
Invited Speakers:
Tanya Berger-Wolf (U. Illinois at Chicago)
Peter Keevash (Oxford)
Robert Kleinberg (Cornell)
Bojan Mohar (Simon Fraser)
Shubhangi Saraf (Rutgers)
Andrew Suk (U Illinois at Chicago)
Lauren Williams (Berkeley)
Julia Wolf (Bristol)
Public Interest Lecture:
Jordan Ellenberg (Wisconsin)
CanaDAM 2017 is now open to contributed minisymposia and contributed talks.
Submission instructions and deadlines
• Contributed minisymposia proposals, including titles and abstracts for all speakers: March 1, 2017 (acceptance notification by March 8, 2017).
A minisymposium consists of four or five 25-minute presentations. Prospective minisymposium organizers are asked to submit a proposal consisting of a title, a description (not to exceed 150 words), and a list of speakers and titles of their presentations. Please visit: https://canadam.math.ca/2017/ms/Create/ <https://canadam.math.ca/2017/ms/Create/> to submit a contributed minisymposium.
• Titles and abstracts of contributed talks: March 1, 2017 (acceptance notification by March 8, 2017).
Contributed presentations in lecture format are invited in all areas consistent with the conference themes. Talks are normally 25 minutes, including discussion. Each contributor must submit a title and a brief abstract not to exceed 150 words as well as the names of the authors and that of the speaker. Please visit: https://canadam.math.ca/2017/abs/Create/ <https://canadam.math.ca/2017/abs/Create/> to submit a contributed talk.
CanaDAM 2017 – Appel de soumissions
Le sixième Congrès canadien de mathématiques discrètes et algorithmiques (CanaDAM) se tiendra du 12 au 15 juin 2017 à l'Université Ryerson à Toronto, Ontario, Canada.
Le sujet général du congrès est la théorie et les applications de structures discrètes. Son but est de souligner les tendances les plus saillantes du domaine. Le congrès réunira les chercheurs des diverses disciplines avec lesquelles les mathématiques discrètes et algorithmiques interagissent. Le congrès CanaDAM a lieu les années impaires dans un format semblable à celui de la SIAM conference on Discrete Mathematics. Les sujets d'intérêt particuliers comprennent : graphes et hypergraphes, matroïdes, ensembles ordonnés, designs, théorie des codes, énumération, combinatoire des mots, optimisation discrète, géométrie discrète et algorithmique, énumération des points de treillis, algorithmes combinatoires, complexité algorithmique, ainsi que les applications de mathématiques discrètes et algorithmiques comprenant (sans exclusivité) graphes de la toile, biologie algorithmique, réseaux de communication et traitement d'information.
Conférenciers invités:
Tanya Berger-Wolf (U. Illinois at Chicago)
Peter Keevash (Oxford)
Robert Kleinberg (Cornell)
Bojan Mohar (Simon Fraser)
Shubhangi Saraf (Rutgers)
Andrew Suk (U Illinois at Chicago)
Lauren Williams (Berkeley)
Julia Wolf (Bristol)
Conférence grand public :
Jordan Ellenberg (Wisconsin)
Dates limites et instructions pour les soumissions
• Propositions de minisymposia libres, comprenant les titres et les résumés de leurs présentations : 1er mars 2017 (réponse le 8 mars 2017 au plus tard)
Un minisymposium libre consiste en quatre ou cinq présentations de 25 minutes. Les organisateurs potentiels d'un minisymposium devraient soummetre une proposition contenant le titre, une description d'au plus 150 mots et la liste de conférenciers avec le titre de leur présentation. Voir https://canadam.math.ca/2017/ms/Create/ <https://canadam.math.ca/2017/ms/Create/> afin de soummetre une proposition (site en anglais).
• Titres et résumés de présentations libres: 1er mars 2017 (réponse le 8 mars 2017 au plus tard))
Des conférences libres sont sollicitées dans les domaines du congrès. Les présentation sont de 25 minutes y compris la discussion. Chaque proposition doit contenir le titre et un bref résumé (150 mots maximum) ainsi que le(s) nom(s) de(s) auteur(s) et celui de la personne qui présente. Voir https://canadam.math.ca/2017/abs/Create/ <https://canadam.math.ca/2017/abs/Create/> afin de soumettre une proposition (site en anglais).
------------------------------
Message: 2
Date: Thu, 12 Jan 2017 17:09:50 -0500
From: Robson De Grande <rdgrande@site.uottawa.ca>
To: dmanet@zpr.uni-koeln.de
Subject: [DMANET] CFP: DCOSS 2017 *EXTENDED DEALINE* - January 20th,
2017
Message-ID:
<CAKOwLX4XCTG09q6sjZqewKiAVznN7ED4Q_tUpuKdnDiNgy8xyg@mail.gmail.com>
Content-Type: text/plain; charset=UTF-8
===================================================
Call-For-Papers:
13th DCOSS 2017
Ottawa, Canada, June 5 - 7, 2017
http://www.dcoss.org/
====================================================
IMPORTANT:
Paper Submission (Extended): January 20th, 2017
===================================================
------
DCOSS 2017 is the 13th International Conference on Distributed Computing in
Sensor Systems to be hosted in Ottawa, Canada in June 5-7, 2017. Due to
their potential of impacting an entire host of application areas,
distributed sensor systems have become a highly visible research area. The
focus of DCOSS series of conferences is on distributed computing issues in
large scale networked sensor systems, including, but not limited to,
algorithms and applications, systems design techniques and tools, and
in-network signal and information processing. DCOSS puts together a highly
selective program where it primes for quality and innovation on works.
Potential authors are invited to submit original unpublished manuscripts
that demonstrate current research on computational aspects of distributed
sensor systems. Topics of interest include but are not limited to:
Social networks and applications
Sensors for smart grid systems, green networks and sustainability
Computation and programming models
Energy models, minimization, awareness
Distributed collaborative information processing
Detection and tracking
Theoretical performance analysis: complexity, correctness, scalability
Abstractions for modular design
Fault tolerance and security
Task allocation, reprogramming and reconfiguration
Dynamic resource management
Scalable, heterogeneous architectures (node and system-level)
Middleware interfaces, communication and processing primitives
Design, simulation and optimization tools for deployment and operation
Design automation and application synthesis techniques
Closed-loop control for sensing and actuation
Case studies: lessons from real world deployments
Network coding and compression
Paper Submission and Publication:
High-quality original papers are solicited. Papers must be unpublished and
must not be submitted for publication elsewhere. All papers will be
reviewed by Technical Program Committee members and other experts active in
the field to ensure high quality and relevance to the conference.
Please submit your paper through EDAS link (https://edas.info/N23046). More
detailed instructions about paper submissions can be fount at the link
below.
- http://www.dcoss.org/
Important Dates:
Paper Submission Deadline (Extended): January 20th, 2017
Organizing Committee:
GENERAL CHAIR
Azzedine Boukerche, University of Ottawa, Canada
PROGRAM CO-CHAIRS
Salil Kanhere, University of New South Wales, Australia
Soumaya Charkaoui, University of Sherbrooke, Canada
------------------------------
Message: 3
Date: Fri, 13 Jan 2017 14:23:54 +0530
From: Arindam Pal <arindamp@gmail.com>
To: DMANET <DMANET@zpr.uni-koeln.de>
Subject: [DMANET] Call For Papers: ParLearning 2017
Message-ID:
<CAK4LEKk5d9YCgPaatQqx6DNJJWy_UtZBw2fPnGF8SNks-UtGcw@mail.gmail.com>
Content-Type: text/plain; charset=UTF-8
**************************************************************************
The 6th International Workshop on Parallel and Distributed Computing
for Large Scale Machine Learning and Big Data Analytics
http://parlearning.ecs.fullerton.edu/
May 29, 2017
In Conjunction with
31st IEEE International Parallel & Distributed Processing Symposium
May 29 - June 2, 2017
Buena Vista Palace Hotel
Orlando, Florida USA
**************************************************************************
Call for Papers
Scaling up machine-learning (ML), data mining (DM) and reasoning algorithms
from Artificial Intelligence (AI) for massive datasets is a major technical
challenge in the times of "Big Data". The past ten years has seen the rise
of multi-core and GPU based computing. In parallel and distributed
computing, several frameworks such as OpenMP, OpenCL, and Spark continue to
appear to facilitate scaling up ML/DM/AI algorithms using higher levels of
abstraction. We invite novel works that advance the trio-fields of ML/DM/AI
through development of scalable algorithms or computing frameworks. Ideal
submissions would be characterized as scaling up X on Y, where potential
choices for X and Y are provided below.
Scaling up
recommender systems
gradient descent algorithms
deep learning
sampling/sketching techniques
clustering (agglomerative techniques, graph clustering, clustering
heterogeneous data)
classification (SVM and other classifiers)
SVD
probabilistic inference (bayesian networks)
logical reasoning
graph algorithms and graph mining
On
Multi-core architectures/frameworks (OpenMP)
Many-core (GPU) architectures/frameworks (OpenCL, OpenACC, CUDA, Intel TBB)
Distributed systems/frameworks (GraphLab, MPI, Hadoop, Spark, Storm, Mahout
etc.)
Proceedings of the ParLearning workshop will be distributed at the
conference and will be submitted for inclusion in the IEEE Xplore Digital
Library after the conference.
Journal publication
Selected papers from the workshop will be published in a Special Issue of
Future Generation Computer Systems, Elsevier's International Journal of
eScience. Special Issue papers will undergo additional review.
Awards
Best Paper Award: The program committee will nominate a paper for the Best
Paper award. In past years, the Best Paper award included a cash prize.
Stay tuned for this year!
Travel awards:Students with accepted papers have a chance to apply for a
travel award. Please find details on the IEEE IPDPS web page.
Organization
General chair: Anand Panangadan (California State University,
Fullerton, USA)
Technical Program co-chairs: Henri Bal (Vrije Universiteit, The
Netherlands) and Arindam Pal (TCS Research, India)
Publicity chair: Charalampos Chelmis (University at Albany, State
University of New York, USA)
Steering Committee chair: Yinglong Xia (Huawei Research, USA)
Technical Program Committee
Brojeshwar Bhowmick, TCS Research, India
Danny Bickson, GraphLab Inc., USA
Vito Giovanni Castellana, Pacific Northwest National Laboratory, USA
Tanushyam Chattopadhyay, TCS Research, India
Daniel Gerardo Chavarria, Pacific Northwest National Laboratory, USA
Sutanay Choudhury, Pacific Northwest National Laboratory, USA
Valeriu Codreanu, SURFsara, The Netherlands
Lipika Dey, TCS Research, India
Zhihui Du, Tsinghua University, China
Anand Eldawy, University of Minnesota, USA
Dinesh Garg, IBM Research, India
Saptarshi Ghosh, IIEST Shibpur, India
Dianwei Han, Northwestern University, USA
Renato Porfirio Ishii, Federal University of Mato Grosso do Sul (UFMS),
Brazil
Ananth Kalyanaraman, Washington State University, USA
Gwo Giun (Chris) Lee, National Cheng Kung University, Taiwan
Carson Leung, University of Manitoba, Canada
Animesh Mukherjee, IIT Kharagpur, India
Debnath Mukherjee, TCS Research, India
Francesco Parisi, University of Calabria, Italy
Himadri Sekhar Paul, TCS Research, India
Aske Plaat, Leiden University, The Netherlands
Chandan Reddy, Wayne State University, USA
Rekha Singhal, TCS Research, India
Weiqin Tong, Shanghai University, China
Cedric van Nugteren, TomTom International BV
Zhuang Wang, Facebook, USA
Qingsong Wen, Georgia Institute of Technology, USA
Bo Zhang, IBM, USA
Jianting Zhang, City College of New York, USA
Important Dates
Paper submission: January 20, 2017 AoE
Notification: February 10, 2017
Camera Ready: March 10, 2017
Paper Guidelines
Submitted manuscripts should be upto 10 single-spaced double-column pages
using 10-point size font on 8.5x11 inch pages (IEEE conference style),
including figures, tables, and references. Format requirements are posted
on the IEEE IPDPS web page.
All submissions must be uploaded electronically at
https://www.easychair.org/conferences/?conf=parlearning2017
Regards,
Arindam Pal, Ph.D.
Research Scientist
TCS Research
http://www.cse.iitd.ac.in/~arindamp/
------------------------------
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