NVIDIA IndeX™ for ParaView Plug-in is an advanced volume visualization tool designed for high-performance computing (HPC) environments. It leverages the computational power of GPUs to deliver real-time performance on large datasets by distributing visualization workloads across a GPU-accelerated cluster. Integrated into ParaView, one of the most popular visualization tools in HPC, IndeX enables users to experience real-time interactivity with their existing volume visualization workflows. This integration allows scientists to analyze entire datasets in their original resolution, leading to faster discoveries.

Features

• Interactive Volume Visualization: Scales with data to enable scientists to analyze entire datasets quickly.
• Xtreme Accelerated Computing (XAC): Allows user-defined compute to be executed at run-time, enhancing visual elements with advanced presets like depth-enhancement and edge-enhancement.
• Simultaneous Multi-Geometry Rendering: Renders multiple attributes from large-scale simulations, such as wind speed and cloud data, for better insight.
• User-Defined Region: Allows users to select areas of interest, improving performance by only rendering selected regions.
• Multiple Volume Slicing: Enables simultaneous observation of multiple structures in a dataset with multi-planar slicing.
• Real-Time Visualization: Renders large-scale data at high frame rates, allowing scientists to quickly converge on the most interesting data.
• Seamless Workflow: Integrates with ParaView, eliminating the need to learn new tools and keeping workflows unchanged.
• Performance at Scale: Delivers real-time performance on large datasets by distributing data across multiple nodes within a GPU-accelerated cluster.
• Open Source Plug-in: Customizable to fit user needs, compatible with customized versions of ParaView.

Benefits

• Faster Discoveries: Real-time interactivity with large datasets accelerates scientific discovery.
• Enhanced Insight: Advanced visual presets and multi-geometry rendering provide better insights into complex data.
• Improved Productivity: User-defined regions and multiple volume slicing improve data analysis efficiency.
• Scalability: Supports large-scale data visualization, making it suitable for complex simulations.
• Seamless Integration: Fits into existing ParaView workflows, reducing the learning curve and enhancing productivity.