WLPP 2017 is a full-day workshop to be held at the PPAM 2017 focusing on high level programming for large-scale parallel systems and multicore processors, with special emphasis on component architectures and models. Its goal is to bring together researchers working in the areas of applications, computational models, language design, compilers, system architecture, and programming tools to discuss new developments in programming Clouds and parallel systems. The workshop focuses on any language-based parallel programming model such as OpenMP, Python, Intel TBB, Microsoft .NET 4.0 parallel extensions (TPL and PPL), Java parallel extensions, PGAS languages, Unified Parallel C (UPC), Co-Array FORTRAN (CAF) and GPGPU language-based programming models such as CUDA, OpenCL and OpenACC. Contributions on other high-level programming models and supportive environments for parallel and distributed systems are equally welcome. This workshop will feature papers that explore experiences from application developers in the use of the language and performance of real applications, experiences in the implementation of tools supporting the development and parallelization of applications or supporting the final execution on different computing platforms. We also welcome experiences in moving ideas and concepts from one programming model to another. Read more at http://wlpp17.weebly.com/
The Extreme Science and Engineering Discovery Environment (XSEDE) is supported by the National Science Foundation.
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