[hpc-announce] Call for papers: IEEE International Workshop on Foundations of Big Data Computing

[Arindam Pal]

====================CALL FOR PAPERS
================================================================
IEEE International Workshop on Foundations of Big Data Computing
In conjunction with HiPC 2015 – 22nd IEEE International Conference on High
Performance Computing
16 December 2015 - Afternoon
Park Plaza Hotel in Bengaluru, India
Workshop Website:
http://www.hipc.org/hipc2015/documents/HiPC2015-BigDataFoundations.pdf
====================================================================================================

Scope and Topics:

Big Data computing is playing a significant role in enabling a new class of
scientific and business
applications. Numerous fields are experiencing an unprecedented increase in
the volume and
complexity of data necessitating new research explorations on adapting or
transforming traditional
computational tools and methodologies. There are several open challenges in
Big Data computing
that needs to be addressed by the community. What constitutes a “Big Data”
problem? What
application domains are best suited to benefit from Big Data analytics and
computing? What are the
traits and characteristics of an application that make it suited to exploit
Big Data analytics? How can
Big Data systems and frameworks be designed to allow the integration and
analysis of complex data
sets? How can research in Big Data Analytics benefit from the latest
advances in supercomputing
and High Performance Computing (HPC) architectures? The goal of this
workshop is to address
questions like these that are fundamental to the advancement of Big Data
computing, and in the
process, build a diverse research community that has a shared vision to
advance the state of
knowledge and discovery through Big Data computing.

Topics of interest include research contributions and innovative methods in
the following areas (but
not limited to):
* Scalable tools, techniques and technologies for Big Data analytics (e.g.,
graph and stream
data analysis, machine learning and emerging deep learning methods)
* Algorithms and Programming Models for Big Data
* Big Data applications - Challenges and Solutions (e.g., life sciences,
health informatics,
geoinformatics, climate, socio-cultural dynamics, business analytics,
cybersecurity)
* Scalable Big Data systems, platforms, services, and management
* Big Data toolkits, workflows, metrics, and provenance.

We invite paper submissions that describe original research contributions
in the area of Big Data
computing, and position papers that highlight the potential , challenges
and opportunities that arise
in Big Data computing. We also invite short papers that describe
work-in-progress original research.
Regular papers can be up to 8 pages long and short papers can be up to 4
pages long. All submissions
will undergo rigorous peer-review by the technical program committee, and
accepted manuscripts
will appear in the workshop proceedings and will be indexed by IEEE digital
library. Authors of the
accepted manuscripts will be required to present their work at the workshop
proceedings.

All paper submissions will have to be made on EasyChair through the
following submission link:
https://easychair.org/conferences/?conf=foundationsofbigdata

Important Dates:
Abstract due: July 24, 2015
Paper submission deadline: August 1, 2015
Notification of acceptance/rejection: September 15, 2015
Camera-ready paper due: September 30, 2015
Author registration deadline: October 16, 2015

Workshop Organization:
General Chairs: Dinkar Sitaram (PESIT), Ananth Kalyanaraman (Washington
State University)
Program Chairs: Madhu Govindaraju (SUNY Binghamton), Saumyadipta Pyne
(CRRao AIMSCS, Hyderabad)
Publicity Chair: Arindam Pal (TCS Innovation Labs)
Proceedings Chair: Ren Chen, USC (HiPC proceedings chair)
Industry Liaison: Avinash Sabharwal (Accenture, Bangalore)

Technical Program Committee:
(Soon to be announced)

Regards,
Dr. Arindam Pal
Research Scientist
Innovation Labs Kolkata
TCS Research
http://www.cse.iitd.ac.in/~arindamp/
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