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 (CPUs) for scientific programming. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Lucas, P., Fritz, N., & Wilhelm, R. (2006). The development of the data-parallel GPU programming language CGIS. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3994 LNCS-IV, pp. 200–203). Springer Verlag. https://doi.org/10.1007/11758549_31
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