ICPP: International Conference on Parallel Processing

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Past:   Proceedings on DBLP

Future:  Post a CFP for 2018 or later   |   Invite the Organizers Email

 
 

All CFPs on WikiCFP

Event When Where Deadline
ICPP 2017 International Conference on Parallel Processing
Aug 14, 2017 - Aug 17, 2017 Bristol, UK Feb 15, 2017
ICPP 2016 2016 International Conference on Parallel Processing
Aug 16, 2016 - Aug 19, 2016 Philadelphia, PA USA Feb 26, 2016
ICPP 2015 International Conference on Parallel Processing
Sep 1, 2015 - Sep 4, 2015 Beijing, China Mar 2, 2015
ICPP 2014 International Conference on Parallel Processing
Sep 9, 2014 - Sep 12, 2014 Minneapolis, USA Mar 1, 2014
ICPP 2013 International Conference on Parallel Processing
Oct 1, 2013 - Oct 4, 2013 Lyon, France Mar 8, 2013
ICPP 2012 IEEE International Conference on Parallel Processing
Sep 10, 2012 - Sep 13, 2012 Pittsburgh, PA Mar 2, 2012
ICPP 2011 International Conference on Parallel Processing
Sep 13, 2011 - Sep 16, 2011 Taipei, Taiwan Mar 15, 2011
ICPP 2010 39th International Conference on Parallel Processing
Sep 13, 2010 - Sep 16, 2010 San Diego, CA, USA Feb 24, 2010
ICPP 2009 The 38th International Conference on Parallel Processing
Sep 22, 2009 - Sep 25, 2009 Vienna, Austria Feb 28, 2009
ICPP 2008 The 2008 International Conference on Parallel Processing
Sep 8, 2008 - Sep 12, 2009 Portland, Oregon, USA Feb 4, 2008
 
 

Present CFP : 2017

The 46th International Conference on Parallel Processing (ICPP-2017) will be held in Bristol, UK during August 14-17, 2017.

Scope

Parallel and distributed computing is a central topic in science, engineering and society. ICPP, the International Conference on Parallel Processing, provides a forum for engineers and scientists in academia, industry and government to present their latest research findings in all aspects of parallel and distributed computing.

ICPP 2017 will be organized around the following tracks:

* Architecture, including processor; memory; I/O; network; instruction-, thread- and data-level parallelism; accelerators & other special-purpose hardware; power-aware/energy-efficient; performance
* Algorithms, including combinatorial and numerical; scheduling; power- aware/energy-efficient; machine learning; modeling & analysis; scalability
* Applications, including big data; data analytics; computational science & engineering (e.g., aerospace, arts; biology, finance, geology); scalability
* Software, including systems software; middleware; programming models, languages, and environments; compilers; operating systems; run-time systems; resource management; performance modeling and evaluation

Download CFP:
http://www.icpp-conf.org/2017/files/icpp2017.cfp-color.pdf
 

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