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Call for Papers: 2nd Workshop on Parallel Programming for Analytics Applications at PPoPP 2015

2nd Workshop on Parallel Programming for Analytics Applications=20
at the 20th ACM SIGPLAN Symposium on Principles and Practice of Parallel=20
Programming

https://sites.google.com/site/2015ppaa/

February 7-11, 2015
San Francisco, California

Important Dates

November 24th, 2014: Paper submission deadline.
January 10th, 2015: Decision on refereed papers.
January 24th, 2015: Camera ready copies due. Accepted papers will be=20
published in the ACM digital library after the workshop.
February 7th or 8th, 2015: Workshop!

Motivation and Scope

Analytics applications are scaling rapidly in terms of the size and=20
variety of data analyzed, the complexity of models explored and tested,=20
and the number of analytics professionals or data scientists supported=20
concurrently.  Consumer behavior modeling, IT infrastructure security and=20
resiliency, and fraud detection and prevention are examples of application =

areas where the scaling is stressing the computational capabilities of=20
current systems.  At the same time hardware systems are embracing new=20
technologies like on-chip and off-chip accelerators, vector extensions to=20
the instruction sets, and solid state disks.  New programming=20
methodologies and run-times to support them are emerging to facilitate the =

development of the new analytics applications, and to leverage the=20
emerging systems.  This workshop provides a forum for the applications=20
community, run-time and development-environment community,and systems=20
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=20
include, but are not limited to:

o System and hardware support for big data analytics
  - Exploitation of GPUs, FPGAs and on-chip vector processing units for=20
analytics applications
  - Efficient exploitation of the memory hierarchy, particularly solid=20
state disks
  - Parallel I/O to support distributed file systems
  - System management issues for attaining the desired levels of=20
reliability and performance for the above
o Parallel run-times and middleware for analytics
  - Columnar databases, large data warehouses, data cubes and OLAP engines
  - In memory analysis for real-time queries on large data
  - No-SQL databases
  - Graph databases
  - Concurrency in large tabular data analytics
  - Distributed file systems
o Parallel programming models and languages, and application development=20
frameworks for analytics
  - Application Frameworks for large graph applications=20
  - Computational models and programming languages for large graph=20
applications
  - Domain specific languages for analytics
o Parallel algorithms for large graphs and other big data analytics=20
applications
  - Algorithms to exploit the hardware, run-times, middleware and=20
programming models listed above
  - Performance attainable on the hardware, run-times, middleware and=20
programming models listed above
o Parallelism in Social Media and other big dataapplications
  - Applications in consumer modeling and customer behavior=20
  - Financial fraud detection and intrusion detection in IT infrastructure
  - Applications in healthcare and other industries
  - Analytics applications and solutions in homeland security

Submission Guidelines

Submitted papers should be no longer than 8 pages using a 10 point font=20
(single spaced). Authors are encouraged to use the ACM double column=20
format found at "http://www.sigplan.org/Resources/Author/". Papers should=20
be submitted in PDF format and should be legible when printed on a=20
black-and-white printer. To submit, send email to: manoj1@us.ibm.com and=20
joefon@us.ibm.com with the paper included as an attachment. Accepted=20
papers will be published in the ACM digital library after the workshop.

General Co-Chairs

Joefon Jann, IBM Research (joefon@us.ibm.com)
Jose Moreira, IBM Research (jmoreira@us.ibm.com)

Program Committee

Manoj Kumar - Program Chair, IBM Research (manoj1@us.ibm.com)
Gianfranco Bilardi, University of Padua, Italy
Daniel Delling, Microsoft Research
Vijay Gadeapply, MIT Lincoln Labs
Jeremy Kepner, MIT Lincoln Labs
Ching-Yung Lin, IBM Research
Silvius Rus, Cloudera
Vivek Sarkar, Rice University
Fernando Silva, University of Porto, Portugal

Jos=E9 E. Moreira
Research Staff Member
Future POWER Systems Concept Team
IBM Thomas J. Watson Research Center
Yorktown Heights NY 10598-0218
phone: 1-914-945-1709, fax: 1-914-945-4425
e-mail: jmoreira@us.ibm.com
URL: http://www.research.ibm.com/people/m/moreira
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