Tuesday, October 14, 2014

[DMANET] Call for papers: Parlearning 2015 in conjunction with IPDPS 2015

Dear all,

We are organizing a workshop Parlearning 2015 in conjunction with
IPDPS 2015, which is happening in Hyderabad this year. I am posting
the call for papers. Please submit your papers.

Dr. Arindam Pal
Research Scientist
TCS Innovation Labs Kolkata

Parlearning 2015
The 4th International Workshop on Parallel and Distributed Computing
for Large Scale Machine Learning and Big Data Analytics
May 25 or 29, 2015 (TBD)
Hyderabad, India
In Conjunction with IPDPS 2015


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
distributed computing, several frameworks such as Mahout, GraphLab 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
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)
probabilistic inference (bayesian networks)
logical reasoning
graph algorithms and graph mining
Parallel architectures/frameworks (OpenMP, OpenCL, Intel TBB)
Distributed systems/frameworks (GraphLab, Hadoop, MPI, Spark etc.)


Sutanay Choudhury, Pacific Northwest National Laboratory, USA
Arindam Pal, TCS Innovation Labs, India
Anand Panangadan, University of Southern California, USA
Yinglong Xia, IBM Research, USA


Virendra C. Bhavsar, University of New Brunswick, Canada
Danny Bickson, GraphLab Inc., USA
Peter Boncz, Vrije Universiteit, Netherlands
Zhihui Du, Tsinghua University, China
Dinesh Garg, IBM India Research Laboratory, India
Qirong Ho, Infocomm Research, A*STAR, Singapore
Yihua Huang, Nanjing University, China
Renato Porfirio Ishii, Federal University of Mato Grosso do Sul (UFMS), Brazil
Ananth Kalyanaraman, Washington State University, USA
Dionysis Logothetis, Telefonica, Spain
Debnath Mukherjee, TCS Innovation Labs, India
Huansheng Ning, Beihang University, China
Gautam Shroff, TCS Innovation Labs, India
Aniruddha Sinha, TCS Research, India
Neal Xiong, Georgia State University, USA
Jianting Zhang, City College of New York, USA
Wei Zhang, IBM Research, USA


Paper submission: January 18th, 2015 AON
Notification: February 14th, 2015
Camera Ready: February 28th, 2015


Submitted manuscripts may not exceed 6 single-spaced double-column
pages using 10-point size font on 8.5x11 inch pages (IEEE conference
style), including figures, tables, and references. More format
requirements will be posted on the IPDPS web page (www.ipdps.org)
after the author notification.
Accepted papers with sufficient extensions will be recommended for
publication in a journal (to be announced), subject to review by the
journal editorial board.


Students with accepted papers have a chance to apply for a travel
award. Please find details at IPDPS webpage.
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