[hpc-announce] CFP: BigGraphs 2015 workshop at IEEE BigData 2015

Kamesh Madduri madduri at cse.psu.edu
Thu Aug 20 10:55:18 CDT 2015

*The Second International Workshop on High Performance **
**Big Graph Data Management, Analysis, and Mining* (*BigGraphs 2015*)

To be held in conjunction with *IEEE BigData 2015*
Oct 29--Nov 1, 2015, Santa Clara, CA, USA.
//Website: /
//Important Dates:/
*Sep  5, 2015*: Submission deadline
   Sep 25, 2015: Notification of paper acceptance to authors
   Oct  5, 2015: Camera-ready submissions due
//Call for papers:/
Modern Big Data increasingly appears in the form of complex graphs and 
Examples include the physical Internet, the world wide web, online 
social networks,
phone networks, and biological networks. In addition to their massive 
sizes, these
graphs are dynamic, noisy, and sometimes transient. They also conform to 
all five Vs
(Volume, Velocity, Variety, Value and Veracity) that define Big Data. 
However, many
graph-related problems are computationally difficult, and thus big graph 
data brings
unique challenges, as well as numerous opportunities for researchers, to 
solve various
problems that are significant to our communities. This workshop aims to 
bring together
researchers from different paradigms solving big graph problems under a 
platform for sharing their work and exchanging ideas. We are soliciting 
novel and
original research contributions related to big graph data management, 
analysis, and
mining (algorithms, software systems, applications, best practices, 
Significant work-in-progress papers are also encouraged. Papers can be 
from any of
the following areas, including but not limited to:
* Parallel algorithms for big graph analysis on HPC systems
* Heterogeneous CPU-GPU solutions to solve big graph problems
* Extreme-scale computing for large graph, tensor, and network problems
* Sampling and summarization of large graphs
* Graph algorithms for large-scale scientific computing problems
* Graph clustering, partitioning, and classification methods
* Scalable graph topology measurement: diameter approximation,
   eigenvalues, triangle and graphlet counting
* Parallel algorithms for computing graph kernels
* Inference on large graph data
* Graph evolution and dynamic graph models
* Graph databases, novel querying and indexing strategies for RDF data
* Novel applications of big graph problems in bioinformatics, health care,
   security, and social networks
* New software systems and runtime systems for big graph data mining

Submissions must be at most 8 pages long, including all figures, tables, 
and references.
They must be formatted according to the style files used by the IEEE 
BigData 2015
conference proceedings. Papers must be submitted online through the 
workshop submission
11.59 pm PDT (Pacific Daylight Time) on September 5, 2015.
//Workshop Organizers:/
   Mohammad Al Hasan
   Department of Computer and Information Science
   Indiana University-Purdue University Indianapolis
   Indianapolis, IN 46202
alhasan at cs.iupui.edu

   Kamesh Madduri
   Department of Computer Science and Engineering
   The Pennsylvania State University
   University Park, PA 16802
madduri at cse.psu.edu

   Fengguang Song
   Department of Computer and Information Science
   Indiana University-Purdue University Indianapolis
   Indianapolis, IN 46202
fgsong at cs.iupui.edu

/Program Committee:/
   Leman Akoglu (Stony Brook University)
   Medha Atre (University of Pennsylvania)
   Juan Colmenares (Samsung Research America)
   Oded Green (Georgia Institute of Technology)
   Mahantesh Halappanavar (Pacific Northwest National Laboratory)
   Mohammad Al Hasan (Indiana University Purdue University)
   Kamesh Madduri (The Pennsylvania State University)
   Erik Saule (University of North Carolina at Charlotte)
   Fengguang Song (Indiana University Purdue University)
   Chen Tian (Huawei Technologies USA)
   Stanimire Tomov (University of Tennessee Knoxville)
   Mohammed J. Zaki (Rensselaer Polytechnic Institute)

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