[hpc-announce] CALL for PLC 2014 - co-located with IPDPS 2014

Sunita Chandrasekaran sunita at cs.uh.edu
Fri Dec 27 13:19:18 CST 2013

                    International Workshop on
Programming Models, Languages and Compilers Workshop for Manycore
and         Heterogeneous Architectures
             (PLC 2014)

                Held in conjunction with the
28th International Parallel and Distributed Processing Symposium (IPDPS
                  Phoenix, Arizona, USA, May 20th, 2014


Three essential pillars to successful parallel computing - Productivity,
Portability, Performance. Creating software for heterogeneous systems can
be quite complex especially when the low-level details need to be managed
and abstracted from the programmer. Emerging standards are providing an
incremental development to target heterogeneous architectures, be it
NVIDIA, ARM, Intel or AMD. We all know software is an expensive investment.
Portability is necessary, ensuring long lifetime of the software and thus
reducing the maintenance cost. Other challenges include locality and memory
issues, load balancing, hiding latency with concurrency and so on.
This workshop aims to brainstorm ways to make programming
heterogeneous systems less challenging and more interesting. We believe
that this workshop will provide a forum for the presentation and
discussions of research on all aspects of heterogeneous systems programming
models, compiler optimizations, language extensions, and software tools for
such systems.

Areas of interest include but are not limited to the following topics:

    ▪    Multicore processors, Heterogeneous systems, Accelerators
    •    Programming models: thread and task based models, data parallel
models, stream programming
    •    Programming environments for heterogeneous systems
    •    OpenMP for Accelerator
    •    OpenACC
    •    OpenCL/CUDA
    •    OpenHMPP and other related models
    •    DSL
    •    Compiler optimizations and tuning for Heterogeneous systems
    •    Parallelization and loop transformations
    •    Locality optimizations
    •    SIMDization/Vectorization
    •    Reducing synchronization and scheduling overheads on Heterogeneous
    •    Runtime systems for multicore processors, heterogeneous systems,
    •    Debuggers, and performance analysis tools for Multicore
processors, Heterogeneous systems, accelerators
    •    Application and Benchmarks

Papers should present original research and should provide sufficient
background material to make them accessible to the broader community. In
addition, we solicit papers from practitioners describing problems and
experiences building software tools for Multicore processors and GPU

Full paper submissions should not exceed 10 pages in standard IEEE
conference format. Papers should be submitted electronically through the
workshop web site at easychair.

Proceedings of accepted papers will be made available at the workshop.
Selected papers will appear in the special issue of IEEE Journal (TBD
later). Authors of accepted papers will have the option to decide if they
want their papers to appear in this special issue. Submitted papers must
not be simultaneously under review for any other conferences, and authors
should point out any substantial overlap with their previously published or
currently submitted work.


    •    Paper Submission Deadline: Jan 10, 2014
    •    Paper Acceptance Notification: Feb 17, 2014
    •    Camera Ready Due: Feb 24th, 2014
    •    Conference Date: May 20th, 2014


*General Co-Chair:*
    Barbara Chapman, University of Houston, US
*Steering Committee:*
     Guang R. Gao, University of Delaware, US
     Wenguang Chen, Tsinghua University, China
     Michael Wong, IBM, US
*Program Co-Chair:*
     Bronis R. De Supinski, LLNL, USA
     Yonghong Yan (yanyh at cs.uh.edu), University of Houston, US
*Program Committee:*
   Matthias Muller, TU Dresden, Germany
   Pavan Balaji, Argonne National Laboratory, US
   Yong Chen, Texas Tech University, US
   Sunita Chandrasekaran, University of Houston, US
   Karine Heydemann, INRIA, France
   Xinmin Tian, Intel, US
   Eric Stotzer, TI, US
   Chunhua Liao, LLNL, US
   Yuan Lin, NVIDIA, US
   John Lidel, Cray, US
   Markus Levy, MCA, US
   Wu-chun Feng, Virginia Tech, US


Please send any queries regarding the PLC workshop to sunita at cs.uh.edu
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