Publication | Open Access
VTK-m: Accelerating the Visualization Toolkit for Massively Threaded Architectures
147
Citations
11
References
2016
Year
Cluster ComputingReal-time VisualizationEngineeringHpc SystemsComputer ArchitectureHigh Performance ComputingSoftware AnalysisParallel ToolData ScienceVisualization AlgorithmsComputational VisualizationParallel ComputingMassively-parallel ComputingComputer EngineeringComputer ScienceSoftware VisualizationParallel VisualizationVisualization ToolkitProgram AnalysisScientific VisualizationParallel Programming
One of the most critical challenges for high-performance computing (HPC) scientific visualization is execution on massively threaded processors. Of the many fundamental changes we are seeing in HPC systems, one of the most profound is a reliance on new processor types optimized for execution bandwidth over latency hiding. Our current production scientific visualization software is not designed for these new types of architectures. To address this issue, the VTK-m framework serves as a container for algorithms, provides flexible data representation, and simplifies the design of visualization algorithms on new and future computer architecture.
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