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Fifth Workshop on Massive Data Algorithmics (MASSIVE 2013)

September 5, 2013

Sophia Antipolis, France


In connection with ALGO'13 and organized by
Center for Massive Data Algorithmics (MADALGO)

Webpage: www.madalgo.au.dk/massive2013

Aim and Scope

Tremendous advances in our ability to acquire, store and process data,
as well as the pervasive use of computers in general, have resulted in
a spectacular increase in the amount of data being collected. This
availability of high-quality data has led to major advances in both
science and industry. In general, society is becoming increasingly
data driven, and this trend is likely to continue in the coming years.

The increasing number of applications processing massive data means
that in general focus on algorithm efficiency is increasing. However,
the large size of the data, and/or the small size of many modern
computing devices, also means that issues such as memory hierarchy
architecture often play a crucial role in algorithm efficiency. Thus
the availability of massive data also means many new challenges for
algorithm designers.

The aim of the workshop on massive data algorithmics is to provide a
forum for researchers from both academia and industry interested in
algorithms for massive dataset problems. The scope of the workshop
includes both fundamental algorithmic problems involving massive data,
as well as algorithms for more specialized problems in, e.g.,
graphics, databases, statistics and bioinformatics. Topics of interest
include, but are not limited to:

- I/O-efficient algorithms
- Cache-oblivious algorithms
- Memory hierarchy efficient algorithms
- Streaming algorithms
- Sublinear algorithms
- Parallel algorithms for massive data problem
- Engineering massive data algorithms

Paper submission

We invite submissions of extended abstracts (at most 10 pages not counting
references) of original research. Extended abstract should be submitted through
the EasyChair website by July 26. Authors will be notified about acceptance by
August 12, and final versions will be due on August 23. Accepted extended
abstracts will be collected in a booklet, which will be distributed at the
workshop. There will be no formal proceedings, so work presented at the
workshop can also be (or have been) presented at other conferences. An author
of each accepted abstract is expected to give a presentation of the abstract at
the workshop.


Program committee

Pankaj Agarwal, (Duke)
Lars Arge (Aarhus and MADALGO)
Guy E. Blelloch (CMU)
Gerth S. Brodal (Aarhus and MADALGO)
Ken Clarkson (IBM Almaden)
Graham Cormode (AT&T Research)
Michael Goodrich (UC Irvine)
John Iacono (NYU Polytechnic)
Piotr Indyk (MIT and MADALGO)
Christian Jensen (Aarhus and MADALGO)
Alejandro Lopez-Ortiz (Waterloo)
Andrew McGregor (Massachusetts, Amherst)
Meyer Ulrich (Frankfurt and MADALGO)
Nodari Sitchinava (Karlsruhe)
Sergei Vassilvitskii (Stanford)
Suresh Venkatasubramanian (Utah)
Jeffrey Scott Vitter (Kansas)
Ke Yi (HKUST)
Norbert Zeh (Dalhousie)

Chair: Peyman Afshani (Aarhus and MADALGO)

Organizing committee

Lars Arge (Aarhus and MADALGO)
Gerth St�lting Brodal (Aarhus and MADALGO)
Peyman Afshani (Aarhus and MADALGO)
Else Mag�rd (Aarhus and MADALGO)
Matie Bach S�gaard (Aarhus and MADALGO)
Participation

The workshop will take place on September 5, 2013 in Sophia Antipolis, France,
as part of ALGO 2013 immediately following the European Symposium on Algorithms
(ESA). Participants for MASSIVE should register through the on-line
registration on the ALGO-webpage which we will link to as soon as it is open.
All researchers and industry people interested in massive data algorithmics are
encouraged to attend the workshop. Important dates

Paper submission deadline: July 26
Notification of acceptance: August 12
Final version due: August 23
Symposium: September 5

Participation

The workshop will take place on September 5, 2013 in Sophia Antipolis, France,
as part of ALGO immediately following the European Symposium on
Algorithms. Participants should register through the on-line
registration which will soon be linked from the workshop webpage under
www.madalgo.au.dk/massive203. All researchers and industry
people interested in massive data algorithmics are encouraged to attend
the workshop.