<html><body>
<p><tt><font size="2">PPAA 2016 : 3rd Workshop on Parallel Programming for Analytics Applications</font></tt><br>
<tt><font size="2">In conjunction with the </font></tt><tt><font size="2">21st ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming</font></tt><tt><font size="2"> </font></tt><tt><font size="2">(PPoPP 2016)</font></tt><br>
<tt><font size="2">Barcelona, Spain, March 12-16, 2016</font></tt><br>
<br>
<a href="http://conf.researchr.org/track/PPoPP-2016/PPAA-2016-papers"><tt><font size="2">http://conf.researchr.org/track/PPoPP-2016/PPAA-2016-papers</font></tt></a><br>
<br>
<tt><font size="2">Important Dates:</font></tt><br>
<br>
<tt><font size="2">Sun 6 Dec 2015</font></tt><tt><font size="2">: </font></tt><tt><font size="2">Paper submission deadline</font></tt><br>
<tt><font size="2">Fri 8 Jan 2016</font></tt><tt><font size="2">: </font></tt><tt><font size="2">Decision on refereed papers</font></tt><br>
<tt><font size="2">Mon 25 Jan 2016</font></tt><tt><font size="2">: </font></tt><tt><font size="2">Camera-ready copies due</font></tt><br>
<br>
<tt><font size="2">Motivation and Scope:</font></tt><br>
<br>
<tt><font size="2">Analytics applications are scaling rapidly in terms of the size and variety of data analyzed, the complexity of models explored and tested, and the number of analytics professionals or data scientists supported concurrently. Consumer behavior modeling, IT infrastructure security and resiliency, and fraud detection and prevention are examples of application areas where the scaling is stressing the computational capabilities of current systems. At the same time hardware systems are embracing new technologies like on-chip and off-chip accelerators, vector extensions to the instruction sets, and solid state disks. New programming methodologies and run-times to support them are emerging to facilitate the development of the new analytics applications, and to leverage the emerging systems. This workshop provides a forum for the applications community, run-time and development-environment community, and systems community to exchange the outlook for progress in each of these areas, and exchange ideas on how to cross leverage the progress. Topics of interest include, but are not limited to:</font></tt>
<ul type="disc" style="padding-left: 36pt">
<li><tt><font size="2">System and hardware support for big data analytics</font></tt>
<ul type="disc" style="padding-left: 36pt">
<li><tt><font size="2">Exploitation of GPUs, FPGAs and on-chip vector processing units for analytics applications</font></tt>
<li><tt><font size="2">Efficient exploitation of the memory hierarchy, particularly solid state disks</font></tt>
<li><tt><font size="2">Parallel I/O to support distributed file systems</font></tt>
<li><tt><font size="2">System management issues for attaining the desired levels of reliability and performance for the above</font></tt></ul>
<li><tt><font size="2">Parallel run-times and middleware for analytics</font></tt>
<ul type="disc" style="padding-left: 36pt">
<li><tt><font size="2">Columnar databases, large data warehouses, data cubes and OLAP engines</font></tt>
<li><tt><font size="2">In memory analysis for real-time queries on large data</font></tt>
<li><tt><font size="2">No-SQL databases</font></tt>
<li><tt><font size="2">Graph databases</font></tt>
<li><tt><font size="2">Concurrency in large tabular data analytics</font></tt>
<li><tt><font size="2">Distributed file systems</font></tt></ul>
<li><tt><font size="2">Parallel programming models and languages, and application development frameworks for analytics</font></tt>
<ul type="disc" style="padding-left: 36pt">
<li><tt><font size="2">Application Frameworks for large graph applications</font></tt>
<li><tt><font size="2">Computational models and programming languages for large graph applications</font></tt>
<li><tt><font size="2">Domain specific languages for analytics</font></tt></ul>
<li><tt><font size="2">Parallel algorithms for large graphs and other big data analytics applications</font></tt>
<ul type="disc" style="padding-left: 36pt">
<li><tt><font size="2">Algorithms to exploit the hardware, run-times, middleware and programming models listed above</font></tt>
<li><tt><font size="2">Performance attainable on the hardware, run-times, middleware and programming models listed above</font></tt></ul>
<li><tt><font size="2">Parallelism in Social Media and other big data applications</font></tt>
<ul type="disc" style="padding-left: 36pt">
<li><tt><font size="2">Applications in consumer modeling and customer behavior</font></tt>
<li><tt><font size="2">Financial fraud detection and intrusion detection in IT infrastructure</font></tt>
<li><tt><font size="2">Applications in healthcare and other industries</font></tt>
<li><tt><font size="2">Analytics applications and solutions in homeland security</font></tt></ul>
</ul>
<br>
<tt><font size="2">Call for Papers:</font></tt><br>
<br>
<tt><font size="2">You are seeking submissions that cover research and/or experience aspects on topics relevant to the workshop. Each submission will be reviewed by the workshop program committee. Selected submissions will be invited to present at the workshop and be published in the workshop proceedings.</font></tt><br>
<br>
<tt><font size="2">Submission Guidelines:</font></tt><br>
<br>
<tt><font size="2">Submitted papers should be no longer than 8 pages using a 10 point font (single spaced). Authors are encouraged to use the ACM double column format found at </font></tt><a href="http://www.sigplan.org/Resources/Author/"><tt><font size="2">http://www.sigplan.org/Resources/Author/</font></tt></a><tt><font size="2">. Papers should be submitted in PDF format and should be legible when printed on a black-and-white printer. To submit, send email to </font></tt><a href="mailto:manoj1@us.ibm.com"><tt><font size="2">manoj1@us.ibm.com</font></tt></a><tt><font size="2"> and </font></tt><a href="mailto:joefon@us.ibm.com"><tt><font size="2">joefon@us.ibm.com</font></tt></a><tt><font size="2"> with the paper included as an attachment. Accepted papers will be published in the ACM digital library after the workshop.</font></tt><br>
<tt><font size="2"><br>
José E. Moreira<br>
Research Staff Member<br>
Future POWER Systems Concept Team<br>
IBM Thomas J. Watson Research Center<br>
Yorktown Heights NY 10598-0218<br>
phone: 1-914-945-1709, fax: 1-914-945-4425<br>
e-mail: jmoreira@us.ibm.com<br>
URL: <a href="http://www.research.ibm.com/people/m/moreira">http://www.research.ibm.com/people/m/moreira</a></font></tt></body></html>