Conventional wisdom says that choosing between a GPU versus CPU architecture for running scientific visualization workloads or irregular code is easy. GPUs have long been the go-to solution, although ...
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 ...
Visualization of very large data sets is an important part of many data scientists workflows. The ability to make sense of the terabytes of data that a simulation can produce leads to new insights and ...
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