[hpc-announce] [CFP] ParLearning'2016, Chicago, May 27, 2016

[Yinglong Xia]

The 5th International Workshop on Parallel and Distributed Computing for
Large Scale Machine Learning and Big Data Analytics

May 27, 2016
http://parlearning.ecs.fullerton.edu

In Conjunction with the 30th IEEE International Parallel & Distributed
Processing Symposium, Chicago Hyatt Regency, Chicago, Illinois USA

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 below.

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), SVD
•    probabilistic inference (bayesian networks)
•    logical reasoning
•    graph algorithms and graph mining

On
•    Parallel architectures/frameworks (OpenMP, OpenCL, Intel TBB)
•    Distributed systems/frameworks (GraphLab, Hadoop, MPI, Spark etc.)

IMPORTANT DATES
•    Paper submission:  January 15, 2016 AoE
•    Notification: February 12, 2016
•    Camera Ready:  February 26, 2016


PAPER GUIDELINES

Submitted manuscripts shall be of 6-10 single-spaced double-column pages
using 10-point size font on 8.5x11 inch pages (IEEE conference style),
including figures, tables, and references. Format requirements are posted
on the IEEE IPDPS web page (www.ipdps.org).

Accepted papers with sufficient extensions will be recommended for
publication in a journal (to be announced), subject to review by the
journal editorial board. Best paper award is considered ($500 in 2015).


TRAVEL AWARDS

Students with accepted papers can apply for a travel award. Please find
details at www.ipdps.org
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