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This paper presents a set of approaches that allow interactive exploration of scalar in real-time. They implement their methods using massively parallel architectures available to average consumers - the latest commodity Graphics Processing Units (GPUs). Recent generations of consumer GPU architectures are designed for high efficiency and high computational load, along with effective use of coherency and extensive memory bandwidth requirements. Furthermore, with the advent of programmable GPU pipelines, they can take advantage of the massive parallelism of the GPUs, rather than relying on significantly slower scaling CPU multi-core architecture.
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