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https://doi.org/10.1007/117585...
Part of book or chapter of book . 2006 . Peer-reviewed
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The Development of the Data-Parallel GPU Programming Language CGiS

Authors: Philipp Lucas 0001; Nicolas Fritz; Reinhard Wilhelm;

The Development of the Data-Parallel GPU Programming Language CGiS

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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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
bronze