Employing Multiple CUDA Devices to Accelerate LTL Model Checking

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Publikace nespadá pod Fakultu sportovních studií, ale pod Fakultu informatiky. Oficiální stránka publikace je na webu muni.cz.
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BARNAT Jiří BAUCH Petr BRIM Luboš ČEŠKA Milan

Rok publikování 2010
Druh Článek ve sborníku
Konference Proceedings of 16th International Conference on Parallel and Distributed Systems (ICPADS 2010)
Fakulta / Pracoviště MU

Fakulta informatiky

Citace
Obor Informatika
Klíčová slova Model Checking; Linear Temporal Logic; Multiple CUDA devices
Popis Recently, the CUDA technology has been used to accelerate many computation demanding tasks. For example, in~\cite{BBCL09} we have shown how CUDA technology can be employed to accelerate the process of Linear Temporal Logic (LTL) Model Checking. While the raw computing power of a CUDA enabled device is tremendous, the applicability of the technology is quite often limited to small or middle-sized instances of the problems being solved. This is because the memory that a single device is equipped with, is simply not large enough to cope with large or realistic instances of the problem, which is also the case of our CUDA-aware LTL Model Checking solution. In this paper we suggest how to overcome this limitations by employing multiple (two in our case) CUDA devices for acceleration of our fine-grained communication-intensive parallel algorithm for LTL Model Checking.
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