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Programming NVIDIA cards by means of transitive closure based parallelization algorithms

Marek Palkowski, Wlodzimierz Bielecki
Zachodniopomorski Uniwersytet Technologiczny, Katedra Inzynierii Oprogramowania, ul. Zolnierska 49, 71-210 Szczecin
Przeglad Elektrotechniczny (Electrical Review), ISSN 0033-2097, R. 88 NR 10b/2012, 2012

@article{palkowski2012programming,

   title={Programming NVIDIA cards by means of transitive closure based parallelization algorithms},

   author={Palkowski, Marek and Bielecki, Wlodzimierz},

   year={2012}

}

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Massively parallel processing is a type of computing that uses many separate CPUs or GPUs running in parallel to execute a single program. Because most computations are contained in program loops, automatic extraction of parallelism available in loops is extremely important for many-core systems. In this paper, we study speed-up and scalability of parallel code scanning synchronization-free slices and time partitions by means of a 960 CUDA Cores machine, Tesla S1070.
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