IPDPS: International Parallel and Distributed Processing Symposium

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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
IPDPS 2017 31st IEEE International Parallel & Distributed Processing Symposium
May 29, 2017 - Jun 2, 2017 Orlando, Florida USA Oct 23, 2016 (Oct 18, 2016)
IPDPS 2016 IEEE International Parallel and Distributed Processing Symposium
May 23, 2016 - May 27, 2016 Chicago, IL, USA Oct 16, 2015 (Oct 9, 2015)
IPDPS 2015 29th IEEE International Parallel & Distributed Processing Symposium
May 25, 2015 - May 29, 2015 Hyderabad, India Oct 17, 2014 (Oct 10, 2014)
IPDPS 2014 28th IEEE International Parallel & Distributed Processing Symposium
May 19, 2014 - May 23, 2014 Phoenix (Arizona), USA Oct 18, 2013 (Oct 11, 2013)
IPDPS 2013 27th IEEE International Parallel & Distributed Processing Symposium
May 20, 2013 - May 24, 2013 Boston, Massachusetts USA Oct 1, 2012 (Sep 24, 2012)
IPDPS 2012 26th IEEE International Parallel & Distributed Processing Symposium
May 21, 2012 - May 25, 2012 Shanghai, China Oct 1, 2011 (Sep 24, 2011)
IPDPS 2011 IEEE International Symposium on Parallel & Distributed Processing
May 16, 2011 - May 22, 2011 Anchorage, USA Oct 1, 2010
IPDPS 2010 IEEE International Parallel & Distributed Processing Symposium
Apr 19, 2010 - Apr 23, 2010 Atlanta, Georgia Sep 28, 2009 (Sep 21, 2009)
IPDPS 2009 International Parallel and Distributed Processing Symposium
May 25, 2009 - May 29, 2009 Rome Oct 3, 2008
IPDPS 2008 22nd IEEE International Parallel and Distributed Processing Symposium
Apr 14, 2008 - Apr 18, 2008 Miami, FL, USA Oct 8, 2007
 
 

Present CFP : 2017

SCOPE:
Authors are invited to submit manuscripts that present original unpublished research in all areas of parallel and distributed processing, including the development of experimental or commercial systems. Work focusing on emerging technologies and interdisciplinary work covering multiple IPDPS areas are especially welcome. Topics of interest include, but are not limited to:

Parallel and distributed algorithms, focusing on topics such as: numerical and combinatorial parallel algorithms for analysis, machine learning and simulation; parallel algorithms for accelerators, neuromorphic architectures, and other non-traditional systems; algorithms for cloud computing; power-aware parallel algorithms; streaming algorithms; domain-specific parallel and distributed algorithms; performance modeling and analysis of parallel and distributed algorithms; run-time algorithms and protocols for resource management, communication and synchronization on parallel and distributed systems.
Applications of parallel and distributed computing, including computational and data-enabled science and engineering, big data applications, parallel crowd sourcing, large-scale social network analysis, management of big data, cloud and grid computing, scientific, biological and medical applications, and mobile computing. Papers focusing on applications using novel commercial or research architectures, big data approaches, or discussing scalability toward the exascale level are encouraged.
Parallel and distributed architectures, including architectures for instruction-level and thread-level parallelism; memory technologies and memory hierarchy architectures; exascale systems designs; data center architectures; novel big data architectures; special purpose architectures, including graphics processors, signal processors, network processors, media accelerators, neuromorphic systems, and other special purpose processors and accelerators; impact of technology on architecture; network and interconnect architectures; parallel I/O and storage systems; power-efficient and green computing systems; resilience and dependable architectures; and performance modeling and evaluation.
Parallel and distributed software, including parallel and multicore programming languages and compilers, runtime systems, operating systems, resource management including, middleware for supercomputers, grids, clouds, and data centers, libraries, performance modeling and evaluation, parallel programming paradigms, and programming environments and tools. Papers focusing on novel software systems for big data and exascale systems are encouraged.
Papers that cross the boundaries of the four traditional tracks of IPDPS (Algorithms, Applications, Architecture and Software) are encouraged and can be submitted to a newly established multidisciplinary track. During submission of multidisciplinary papers, authors should indicate their subject areas that can come from any track.
 

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