Wednesday, October 12, 2016

dmanet Digest, Vol 104, Issue 10

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Today's Topics:

1. LSD & LAW 2017 (9th & 10th Feb, 2017): Call for participation
(Kundu, Ritu)
2. PhD position "Graph Theory & Algorithms for Evolutionary
Biology" at TU Delft, Netherlands (Leo van Iersel)
3. CFP for the BeyondMR workshop (Algorithms and Systems for
MapReduce and Beyond) at SIGMDO 2017 (Jan Hidders)


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Message: 1
Date: Mon, 10 Oct 2016 16:35:38 +0000
From: "Kundu, Ritu" <ritu.kundu@kcl.ac.uk>
To: "dmanet@zpr.uni-koeln.de" <dmanet@zpr.uni-koeln.de>
Subject: [DMANET] LSD & LAW 2017 (9th & 10th Feb, 2017): Call for
participation
Message-ID:
<VI1PR03MB1232209AC5B4FFE6987273B7D7DB0@VI1PR03MB1232.eurprd03.prod.outlook.com>

Content-Type: text/plain; charset="iso-8859-1"

Dear all,

We will be hosting the 25th LSD & LAW (London Stringology Days & London Algorithmic Workshop 2017) at King's College London on the 9th and 10th of February 2017(http://www.inf.kcl.ac.uk/events/LSD&LAW17/). The LSD&LAW meetings are organised annually by the Algorithms and Bioinformatics research group at King's College London.

Please let us know if you would like to give a contributing talk and provide a tentative title and abstract by 15th December 2016. Contributing talks can present recent results or work in progress with directions for future research, in the areas of discrete algorithms, stringology and graph/network algorithms. We particularly encourage talks with relevance to the additional theme of the 2017 LSD & LAW meeting - "Advances in Mathematical Aspects of Uncertain Data".

There won't be a formal registration, but to help us with preparations, kindly inform us if you are planning to attend the workshop.

We hope to seeing you in London!

Best Regards,

Ritu Kundu and Manal Mohamed

on behalf of the LSD & LAW 2017 organising committee.

------------------------------

Message: 2
Date: Mon, 10 Oct 2016 21:04:50 +0200
From: Leo van Iersel <l.j.j.v.iersel@gmail.com>
To: dmanet@zpr.uni-koeln.de
Subject: [DMANET] PhD position "Graph Theory & Algorithms for
Evolutionary Biology" at TU Delft, Netherlands
Message-ID:
<CAP3B7VBfT6x3XYqUFSdcbks7-SUmkTpuf2BkAD_8Cdps0O4GWg@mail.gmail.com>
Content-Type: text/plain; charset=UTF-8

The optimisation group at Delft University of Technology in the
Netherlands is seeking a PhD student on the project "Encoding,
reconstructing and comparing complex evolutionary scenarios" financed
by The Netherlands Organization for Scientific Research (NWO). This
project aims at developing new graph theory, algorithms and software
tools which can be used by biologists to reconstruct networks
describing the evolutionary relationships between species. The
standard, well-studied model for describing such relationships is the
phylogenetic tree, which has leaves representing species and internal
vertices representing divergence events. However, actual evolutionary
histories are often complex webs of diverging and combining lineages,
which can better be described by networks than by trees. Accurately
reconstructing such networks is a challenging task. Therefore, this
project involves the development of new (graph) theory, algorithms and
software as well as working with biologists to apply the developed
theory and software in practice.

For more information, see
https://www.academictransfer.com/employer/TUD/vacancy/36363/lang/en/

------------------------------

Message: 3
Date: Tue, 11 Oct 2016 15:55:23 +0200
From: Jan Hidders <jan.hidders@vub.ac.be>
To: dmanet@zpr.uni-koeln.de
Subject: [DMANET] CFP for the BeyondMR workshop (Algorithms and
Systems for MapReduce and Beyond) at SIGMDO 2017
Message-ID: <2F8FEA08-B637-4F23-AA4E-B925690CFA7F@vub.ac.be>
Content-Type: text/plain; charset=utf-8


* Call for papers *

BEYONDMR'17
The 4th Workshop on Algorithms and Systems for MapReduce and Beyond, May 19, 2017.
https://sites.google.com/site/beyondmr2017/

Held in conjunction with SIGMOD 2017
Raleigh, NC, USA, May 14-19, 2017
http://sigmod2017.org/

----------------
WORKSHOP FOCUS
----------------

The third BeyondMR workshop aims to explore algorithms, computational
models, architectures, languages and interfaces for systems that need
large-scale parallelization and systems designed to support efficient
parallelization and fault tolerance. These include specialized programming
and data-management systems based on MapReduce and extensions, graph
processing systems, data-intensive workflow and dataflow systems.

We invite submissions on topics such as:

Frameworks for Large-Scale Analytical Processing:
- Models, architectures and languages for data processing pipelines,
data-intensive workflows, networks of operations/MapReduce jobs, dataflows,
and data-mashups.
- Analysis of programs for workflow systems, e.g., Spark.
- Expressing and parallelising iterations, incremental iterations, and
programs consisting of large networks of operations.
- Approaches to achieving fault tolerance and to recovering from failures.

Algorithms for Large-Scale Data Processing:
- Methods and techniques for designing efficient algorithms for MapReduce
and similar systems.
- Experiments and experience with new algorithms in these settings.

Cost Models and Optimization Techniques:
- Formal definitions of models that evaluate the efficiency of algorithms
in large-scale parallel processing systems taking into account the
requirements of such systems in different applications.
- Testing and benchmarking of MapReduce extensions and data-intensive
workflows.

Resource Management for Many-Task Computing:
- Scheduling of tasks and load-balancing techniques.
- Study of cases where automatic data distribution in MapReduce and
similar systems does not provide sufficient data balancing.
- Algorithms, methods and frameworks to address data skewness.

----------------
IMPORTANT DATES
----------------
Papers submission deadline: Wed Jan 27, 2017
Authors notification: Sun March 5, 2017
Deadline for camera-ready copy: Sun March 19, 2017
Workshop: Fri May 19, 2017

----------------
SUBMISSION GUIDELINES
----------------
We invite full research or experience papers (up to 10 pages), or short
papers (up to 4 pages) describing research in progress, formatted using
the ACM double-column style
(http://conferences.sigcomm.org/imc/2009/sig-alternate-10pt.cls)

----------------
PUBLICATION
----------------
The workshop proceedings will be published in ACM DL and the organizers
will prepare a SIGMOD Record report.

---------------------------
ORGANIZERS
---------------------------
- Foto Afrati National Technical University of Athens, Greece)
- Jan Hidders Vrije Universiteit Brussel, Belgium
- Paris Koutris University of Wisconsin-Madison, USA
- Jacek Sroka University of Warsaw, Poland
- Jeffrey Ullman Stanford University

---------------------------
Program Committee
---------------------------

- Paris Koutris, University of Wisconsin-Madison (CHAIR)
- Foto Afrati, National Technical University of Athens
- Sourav S. Bhowmick, Nanyang Technological University
- Yingyi Bu, Couchbase
- Ahmed Eldawy, University of California, Riverside
- Todd Green, LogicBlox
- Jan Hidders, Vrije Universiteit Brussel
- Asterios Katsifodimos, Technical University of Berlin
- Paraschos Koutris, University of Wisconsin-Madison
- Nectarios Koziris, National Technical University of Athens
- Ulf Leser, Humboldt-Universität zu Berlin
- Dionysios Logothetis, Facebook
- Frank McSherry
- Frank Neven, Hasselt University
- Daniel de Oliveira, Fluminense Federal University
- Krzysztof Onak, IBM T.J. Watson Research Center
- Fabio Porto, National Laboratory of Scientific Computation
- Chris Re, Stanford University
- Krzysztof Rzadca, University of Warsaw
- Semih Salihoglu, University of Waterloo
- Mark Santcroos, Rutgers University
- Francesco Silvestri, IT University of Copenhagen
- Yogesh Simmhan, Indian Institute of Science, Bangalore
- Jacek Sroka, University of Warsaw
- Dan Suciu, University of Washington
- Jeffrey Ullman, Stanford University
- Theodore Vassilakis, Microsoft
- Jianwu Wang, University of Maryland, Baltimore County
- Zhengkui Wang, National University of Singapore
- Ke Yi, Hong Kong University of Science and Technology
- Eiko Yoneki, University of Cambridge
- Matei Zaharia, Stanford University


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