NVIDIA Omniverse has expanded to address the scientific visualization community with a Connector to Kitware ParaView, one of the world’s most popular scientific visualization applications. Now available by downloading Omniverse Open Beta, the Omniverse ParaView Connector enables researchers to boost their productivity and speed their discoveries. Large datasets no longer need to be downloaded…
]]>Wouldn’t it be amazing if you could create beautiful and immersive scientific visualizations of large and dynamic simulations like Folding@Home’s simulation of COVID-19 spikes? In this post, we share our recipe to show that you can use NVIDIA Omniverse to create powerful cinematic visualizations from scientific data. The beginning of any such project starts with trajectory data.
]]>Visualization is a great tool for understanding large amounts of data, but transferring the data from an HPC system or from the cloud to a local workstation for analysis can be a painful experience. It’s increasingly popular to avoid the transfer by analyzing and visualizing data in situ: right where it is generated. Moreover, using server-side rendering lets you deliver high quality visual…
]]>If you’re like me, you have a GPU-accelerated in-situ visualization toolkit that you need to run on the latest-generation supercomputer. Or maybe you have a fantastic OpenGL application that you want to deploy on a server farm for offline rendering. Even though you have access to all that amazing GPU power, you’re often out of luck when it comes to GPU-accelerated rendering.
]]>So, you just got access to the latest supercomputer with thousands of GPUs. Obviously this is going to help you a lot with accelerating your scientific calculations, but how are you going to analyze, reduce and visualize this data? Historically, you would be forced to write everything out to disk, just to later read it back into another data analysis cluster. Wouldn’t it be nice if you…
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