[hpc-announce] Call for papers: PPoPP 2014

[Basilio B. Fraguela Rodriguez]

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        19th Symposium on Principles and Practice of Parallel Programming (PPoPP'14) 
                                  February 2014 - Orlando, Florida 
                                                    ppopp.org 
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                                                 Call for Papers 

PPoPP is a forum for leading work on all aspects of parallel programming, including foundational and theoretical aspects, techniques, languages, compilers, runtime systems, tools, and practical experiences. In the context of the symposium, "parallel programming" encompasses work on concurrent and parallel systems (multicore, multithreaded, heterogeneous, clustered systems, distributed systems, grids, clouds, and large scale machines). Given the rise of parallel architectures into the consumer market (desktops, laptops, and mobile devices), PPoPP is particularly interested in work that addresses new parallel workloads, techniques, and tools that attempt to improve the productivity of parallel programming, and work towards improved synergy with such emerging architectures. Specific topics of interest include (but are not limited to): 

Parallel programming theory and models 
Formal analysis and verification 
Parallel programming languages 
Compilers and runtime systems for parallel and heterogeneous systems 
Task-parallel libraries 
Parallel application frameworks 
Software productivity for parallel programming 
Middleware for parallel systems 
Performance analysis, debugging and optimization 
Development, analysis, or management tools 
Parallel algorithms 
Parallel applications 
Concurrent data structures 
Synchronization and concurrency control 
Software engineering for parallel programs 
Fault tolerance for parallel systems 
Software for heterogeneous architectures 
Programming tools for parallel and heterogeneous systems 
Parallelism in non-scientific workloads: web servers, search, analytics, cloud computing

Papers should report on original research relevant to parallel programming, and should contain enough background materials to make them accessible to the entire parallel programming research community. 

Papers describing experiences should indicate how they illustrate general principles; papers about parallel programming foundations should indicate how they relate to practice. Poster submissions should meet similar criteria for originality and relevance, but may present emerging ideas or results that are not yet sufficiently developed for a full paper. 

PPoPP 2014 is co-located with HPCA 2014 and CGO 2014 this year. Authors should carefully consider the difference in focus of the conferences when deciding where to submit a paper. 

Important dates 
Abstract submission: September 8, 2013 (11:59pm EDT) 
Full paper submission: September 15, 2013 (11:59pm EDT) 
Notification of acceptance: November 12, 2013 

General Chair 
José Moreira, IBM Research 

Program Chair 
Jim Larus, Microsoft Research 

Program Committee 
Sara S Baghsorkhi, Intel 
Guy E Blelloch, Carnegie Mellon University 
Greg Bronevetsky, Lawrence Livermore National Laboratory 
Martin Burtscher, Texas State University 
Chen Wenguang, Tsinghua University 
Chen Ding, University of Rochester 
Sandhya Dwarkadas, University of Rochester 
John Feo, Pacific Northwest National Laboratory 
Jeremy T Fineman, Georgetown University 
Dennis Gannon, Microsoft 
Ganesh Gopalakrishnan, University of Utah 
Thomas Gross, ETH 
Rachid Guerraoui, EPFL 
Tim Harris, Oracle 
Bingsheng He, Nanyang Technological University 
Torsten Hoefler, ETH 
Mahmut Kandemir, Pennsylvania State University 
Milind Kulkarni, Purdue University 
Andrew Lumsdaine, Indiana University 
Virendra J Marathe, Oracle 
Madan Musuvathi, Microsoft Research 
Kunle Olukotun, Stanford University 
Erez Petrank, Technion 
John Reppy, University of Chicago 
Vijay Saraswat, IBM Research 
Nir Shavit, Massachusets Institute of Technology 
Xipeng Shen, College of William and Mary 
Michael F Spear, Lehigh University 
Olivier Temam, INRIA 
Jeff Vetter, Oak Ridge National Laboratory and Georgia Tech 
Antonia Zhai, University of Minnesota 
Zheng (Eddy) Zhang, Rutgers University

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