Abbrevation
IWOMP
City
Nara
Country
Japan
Deadline Paper
Start Date
End Date
Abstract

For many years, OpenMP has provided a very rich and flexible programming model for shared memory architectures&#046; OpenMP 4&#046;0 was a major advance that added two new forms of parallelism and OpenMP 4&#046;5 added substantial improvements for them and other aspects of the specification&#046; OpenMP now includes a rich set of device constructs to support heterogeneous systems like GPUs,FPGAs, DSPs, and SIMD constructs to support vector units in addition to the support for task&#8211;based parallelism that has been present since OpenMP 3&#046;0&#046;<br>The International Workshop on OpenMP (IWOMP) is an annual workshop dedicated to the promotion and advancement of all aspects of parallel programming with OpenMP&#046; It is the premier forum to present and discuss issues, trends, recent research ideas, and results related to parallel programming with OpenMP&#046; We solicit submissions of unpublished technical papers detailing innovative, original research and development related to OpenMP&#046;<br>Topics<br>All topics related to OpenMP are of interest, including OpenMP performance analysis and modeling, OpenMP performance and correctness tools, proposed OpenMP extensions, and OpenMP applications in any domain (e&#046;g&#046;, scientific and numerical computation, video games, computer graphics, multimedia, information retrieval, optimization, text processing, data mining, finance, signal and image processing and machine learning)&#046;<br>Advances in technologies, such as multi&#8211;core processors and OpenMP devices (accelerators such as GPGPUs, DSPs or FPGAs), Multiprocessor Systems on a Chip (MPSoCs), and recent developments in OpenMP itself (e&#046;g&#046;, devices) present new opportunities and challenges for software and hardware developers&#046; Recent advances in the C, C++ and Fortran base languages also offer interesting opportunities and challenges to the OpenMP programming model&#046; IWOMP 2016 particularly solicits submissions in these areas as well as ones that discuss how to apply OpenMP to additional models of parallelism such as event loops&#046;<br>