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Multicore and GPU Programming Models, Languages and Compilers Workshop, PLC 2012

May 21, 2012
Shanghai, China,

Co-located with 26th IEEE International Parallel & Distributed Processing Symposium (IPDPS 2012).

This workshop provides a forum for the presentation of research on all aspects of GPU and multicore processors programming models, compiler optimizations, language extensions, and software tools for GPU and Multicore processor platforms.

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

* Multicore processors and GPU accelerators

* Multicore and GPU Programming models: thread and task based models, data parallel models, stream programming

* Language extensions for GPU programming/environments:

o C/C++ extensions for GPU programming

o OpenMP extensions for Accelerator

o OpenCL

o CUDA

o CAL

o CAPS/HMPP

* Compiler optimizations and tuning for GPU accelerator and Multicore processors

o SIMDization/Vectorization

o Parallelization and locality optimizations

o Reducing synchronization and scheduling overheads on GPU and Multicore

o Tiling, parametric tiling and offloading

* Runtime systems for Multicore processor and GPU accelerators

* Debuggers, and performance analysis tools for multicore processor and GPU platforms

* Operating systems and virtual shared memory for CPU and GPU heterogeneous chip

* Software tools for discovering parallelism

* Application frameworks, design patterns, and domain-specific languages for developing manycore applications

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