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Learn to use Ascent, an open source many-core capable lightweight in situ visualization and analysis infrastructure for multi-physics HPC simulations in this comprehensive tutorial from LLNL's High Performance Computing Innovation Center. Discover how to implement real-time visualization and analysis capabilities directly within your high-performance computing workflows without the need for separate post-processing steps. Explore Ascent's architecture and understand how it enables efficient data processing on supercomputers by performing visualization and analysis operations while simulations are running. Master the integration of Ascent into multi-physics simulations and learn best practices for leveraging its many-core capabilities to handle large-scale computational datasets. Gain hands-on experience with the open source framework's APIs and configuration options, understanding how to customize visualization pipelines for specific scientific computing applications. Understand the performance benefits of in situ processing compared to traditional post-processing workflows, particularly for large-scale simulations where data I/O can become a bottleneck. Access practical examples and code demonstrations that illustrate how to incorporate Ascent into existing HPC simulation codes across various scientific domains.
