Software Defined Visualization (SDVis) has become a mainstream idea: visualization on processors (CPUs) has enormous advantages in flexibility, cost, and performance for large visualizations. While that sounds like a great marketing pitch for Intel, the facts actually check out on this for a number of reasons, including trends in memory and algorithms.These advantages are overwhelming for truly big data (referred to as “exascale” data).  In the paper “An Image-based Approach to Extreme Scale In Situ Visualization and Analysis,” the data movement challenge is quantified as being 1,000,000,000X as much data for extreme scale simulation data (where CPUs win) vs. that of image processing (where GPUs have dominated).To read this article in full or to leave a comment, please click here

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