[hpc-announce] Call for Papers: 3rd Workshop on Parallel Programming for Analytics Applications (PPAA 2016)

[Jose Moreira]

PPAA 2016 : 3rd Workshop on Parallel Programming for Analytics Applications
In conjunction with the 21st ACM SIGPLAN Symposium on Principles and
Practice of Parallel Programming (PPoPP 2016)
Barcelona, Spain, March 12-16, 2016

http://conf.researchr.org/track/PPoPP-2016/PPAA-2016-papers

Important Dates:

Sun  6 Dec 2015: Paper submission deadline
Fri  8 Jan 2016: Decision on refereed papers
Mon 25 Jan 2016: Camera-ready copies due

Motivation and Scope:

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:
      System and hardware support for big data analytics
            Exploitation of GPUs, FPGAs and on-chip vector processing units
            for analytics applications
            Efficient exploitation of the memory hierarchy, particularly
            solid state disks
            Parallel I/O to support distributed file systems
            System management issues for attaining the desired levels of
            reliability and performance for the above
      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
      Parallel programming models and languages, and application
      development frameworks for analytics
            Application Frameworks for large graph applications
            Computational models and programming languages for large graph
            applications
            Domain specific languages for analytics
      Parallel algorithms for large graphs and other big data analytics
      applications
            Algorithms to exploit the hardware, run-times, middleware and
            programming models listed above
            Performance attainable on the hardware, run-times, middleware
            and programming models listed above
      Parallelism in Social Media and other big data applications
            Applications in consumer modeling and customer behavior
            Financial fraud detection and intrusion detection in IT
            infrastructure
            Applications in healthcare and other industries
            Analytics applications and solutions in homeland security

Call for Papers:

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.

Submission Guidelines:

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 http://www.sigplan.org/Resources/Author/. Papers should be
submitted in PDF format and should be legible when printed on a
black-and-white printer. To submit, send email to manoj1 at us.ibm.com and
joefon at us.ibm.com with the paper included as an attachment. Accepted papers
will be published in the ACM digital library after the workshop.

José 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 at us.ibm.com
URL: http://www.research.ibm.com/people/m/moreira
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