Tuesday, 15 November 2016

PMAM 2017 CFP -- deadline extended

[Apologies if you got multiple copies of this email. This message is
sent to . If you'd like to opt out of these
announcements, information on how to unsubscribe is available at the
bottom of this email.]
PMAM 2017 CFP


The 8th International Workshop on Programming Models and Applications for
Multicores and Manycores will be co-located with the PPoPP 2017 conference
in February 4-8, 2017, Austin, Texas, United States.

Rapid advancements in multicore and chip-level multi-threading
technologies open new challenges and make multicore systems a part of the
computing landscape. From high-end servers to mobile phones, multicores
and manycores are steadily entering every single aspect of the information
technology.

However, most programmers are trained in sequential programming, yet most
existing parallel programming models are prone to errors such as data race
and deadlock. To fully utilize multicore and manycore hardware, parallel
programming models that allow easy transition of sequential programs to
parallel programs with good performance and enable development of
error-free codes are urgently needed.

This workshop is dedicated primarily to gather researchers and practitioners
addressing the main challenges and share experiences in the emerging
multicore and manycore software engineering and distributed programming
paradigm. This workshop aims to provide a discussion forum for people
interested in programming environments, models, tools and applications
specifically designed for parallel multicore and manycore hardware
environments.



The program committee cordially invites any novel research ideas in (but
not limited to) the following topics:

*   programming models and systems for multicore, manycore, and clusters of
multicore/manycore

*   parallel resource management on large-scale datacenters

*   multicore and manycore software engineering

*   parallel and distributed algorithms on GPU, FPGA and multicore clusters

*   parallel libraries and frameworks

*   performance analysis, efficiency and effectiveness

*   massively parallel processing on multicore/manycore systems and clusters

*   automated parallelization and compilation techniques

*   debugging and performance autotuning tools and techniques for
multicore/manycore applications

*   parallel algorithms, applications and benchmarks on multicore/manycore
systems

*   runtime power/energy management on multicore/manycore systems and
clusters

*   fault tolerance and resilience


Important Dates

Paper submission deadline: extended to November 21, 2016 (Anywhere on Earth)

Notification of acceptance: December 15, 2016

Camera-ready papers due: January 1, 2017



Papers reporting original and unpublished research results and experience
are solicited. All paper submissions will be handled electronically via
EasyChair.

http://www.easychair.org/conferences/?conf=pmam2017

Papers must not exceed 10 pages in standard ACM two-column conference format
(preprint mode, with page number and the 9pt template).

All accepted papers will be published in the PMAM 2015 proceedings by the
ACM Digital Library, and will be included in the Elsevier databases Scopus
and Compendex (EI indexed).

Selected best papers of PMAM2017 will be considered for publication in a
special issue of highly ranked journal. Contact Pavan Balaji
(balaji@mcs.anl.gov) for more details.

Authors must register and submit their paper through the online submission
system (https://easychair.org/conferences/?conf=pmam2017). If you have
problems accessing the system, e-mail your submission to:

pmam2017@cs.otago.ac.nz

For more details, please refer to:

http://www.cs.otago.ac.nz/pmam2017/

For enquiries, please contact:

pmam2017@cs.otago.ac.nz


********************************************************************************













(https://lists.mcs.anl.gov/mailman/listinfo/hpc-announce
  If you do not remember your password (which is needed to change these options), you can reset it using the "Unsubscribe or Edit Options" button at the bottom of the page.



(https://lists.mcs.anl.gov/mailman/listinfo/hpc-announce)






.
********************************************************************************

No comments:

Post a Comment