Abstract
In this paper, we present the recent developments on the design and implementation of the data-parallel programming language CGiS. CGiS is devised to facilitate use of the data-parallel resources of current graphics processing units (GPUs) for scientific programming.
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Lucas, P., Fritz, N., Wilhelm, R. (2006). The Development of the Data-Parallel GPU Programming Language CGiS . In: Alexandrov, V.N., van Albada, G.D., Sloot, P.M.A., Dongarra, J. (eds) Computational Science – ICCS 2006. ICCS 2006. Lecture Notes in Computer Science, vol 3994. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11758549_31
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DOI: https://doi.org/10.1007/11758549_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34385-1
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