![]() ![]() Promising both performance and portability, the VTK-m team brings multivendor GPU support for 3D scientific visualization to all GPU-based scientific users because of its open-source nature. The welcome addition of the VTK-m GPU capability means that the many packages that use the well-established, heavily utilized Visualization Toolkit ( VTK) for 3D computer graphics, image processing, and scientific visualization are no longer limited to CPU-based systems. Ken Moreland, senior research scientist in the ORNL Visualization Group Most scientific visualization workloads for the ECP will use the VTK-m toolkit when running on the forthcoming exascale supercomputers.”. “ VTK-m introduces a new way of thinking about core visualization algorithms that can make better use of emerging computer architectures, such as GPUs. Most scientific visualization workloads for the exascale computing project (ECP) will use the VTK-m toolkit when running on the forthcoming exascale supercomputers.” This is because current US exascale systems are designed to work in concert with GPU accelerators to deliver exascale levels of performance. Ken Moreland, a senior research scientist in the Oak Ridge National Laboratory (ORNL) Visualization Group, notes that, “VTK-m introduces a new way of thinking about core visualization algorithms that can make better use of emerging computer architectures, such as GPUs. For historical reasons, their massively multithreaded architecture, separate memory subsystems, and advent of new visualization workflows, such as in situ and in transit visualization, that bypass data movement for big-data simulations are currently problematic for scientific visualization. VTK-m is needed because-counterintuitively-GPUs currently have software challenges when supporting large-scale scientific visualization tasks. The development of the VTK-m toolkit, a scientific visualization toolkit for emerging architectures, is a critical advancement in support of scientific visualization on exascale and GPU-accelerated systems for high-performance computing (HPC) users. Please consult the VisIT documentation for further explanations on its usage.ECP Brings Much Needed Visualization Software to Exascale and GPU-Accelerated Systems November 12, 2021 Finally, click the Draw button and use the time slider to visualize the output.If you select Yes, then VisIt will create a new time slider, which can be used to change the time state while keeping the various aspects of the simulation synchronized. At some point you may be prompted to create a Database Correlation.Click on the Add icon, and select a parameter to visualize from the mesh, psuedocolor, or vector plot options.In the main window, select the desired dataset from the Active Sources dropdown menu.(Repeat for any additional datasets/regions.).Select the desired *.vtm group in the right-hand panel (by double-clicking or selecting OK).Enter the vtk output folder in the left-hand panel (these will be separate if you use option 2 above). ![]()
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