Abstract
As the current trend of parallel systems is towards a cluster of multi-core nodes enhanced with accelerators, software development for such systems has become a major challenge. Both low-level and high-level programming models have been developed to address complex hierarchical structures at different hardware levels and to ease the programming effort. However, achieving the desired performance goal is still not a simple task. In this study, we describe our experience with using the accelerator directives developed by the Portland Group to port a computational fluid dynamics (CFD) application benchmark to a general-purpose GPU platform. Our work focuses on the usability of this approach and examines the programming effort and achieved performance on two Nvidia GPU-based systems. The study shows very promising results in terms of programmability as well as performance when compared to other approaches such as the CUDA programming model.
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Jin, H., Kellogg, M., Mehrotra, P. (2012). Using Compiler Directives for Accelerating CFD Applications on GPUs. In: Chapman, B.M., Massaioli, F., Müller, M.S., Rorro, M. (eds) OpenMP in a Heterogeneous World. IWOMP 2012. Lecture Notes in Computer Science, vol 7312. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30961-8_12
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DOI: https://doi.org/10.1007/978-3-642-30961-8_12
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