Tackle the Full Simulation Lifecycle With CMB

In the world of computational simulations, efficiency and flexibility are crucial. Kitware’s open source platform, Computation Model Builder (CMB), is designed to streamline every step of the simulation process, from setting up models to analyzing results. As an example, while OpenFOAM remains a powerful tool for computational fluid dynamics (CFD), integrating it with CMB elevates productivity by providing an intuitive, flexible workflow. With CMB, users can efficiently manage complex simulations, automate tasks, and make adjustments on the fly, all within a cohesive interface. This synergy allows engineers and researchers to focus more on innovation and less on the technical hurdles, ensuring that high-quality modeling doesn’t come at the cost of time or ease of use.

Simulation workflows are inherently complex, often involving a variety of computational tools that each play a crucial role in modeling, analyzing, and interpreting physical systems. From geometric kernel operations to mesh generation, numerical solvers, and post-processing analysis tools, these workflows require a high level of coordination and integration. Unfortunately, most simulation environments fall short of providing all the necessary tools in one cohesive package, and even those that do often lack the flexibility engineers need to incorporate specialized components. This lack of an adaptable, integrated environment has been a major stumbling block for advancing simulation technologies.

The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC’24) is the premier conference for supercomputing experts where they can discuss the latest developments, technologies, and applications in high-performance computing, networking, storage, and analysis. This conference provides researchers, industry leaders, and practitioners a platform to exchange ideas, share knowledge, and collaborate on cutting-edge advancements.

Simulation workflows are essential for engineers tackling complex multi-physics problems, but they can quickly become overwhelming. From managing various command line tools and input files to handling post-processing techniques, the workflow process can be cumbersome and error-prone. Missing documentation or unclear procedures can lead to significant setbacks, including process failures that may even put lives at risk.

Data interoperability is a fundamental challenge in scientific computing environments. As researchers work with increasingly complex datasets, the ability to move seamlessly between specialized tools for data manipulation, analysis, and visualization becomes essential for efficient scientific workflows. Without effective interoperability, researchers often spend valuable time on format conversions rather than analysis and discovery.

[CMake 4.0.2 available for download

Simulation is a proven game-changer for reducing product development time and lowering costs. But despite these clear benefits, many organizations struggle to scale simulation across teams. Why? Because most general-purpose simulation tools are notoriously complex, costly to implement, and require deep domain expertise to use effectively.

You’re invited! Join us for Kitware’s ParaView Office Hours to connect with our ParaView developers. This is an opportunity to get hands-on guidance from the experts in an informal, interactive session. From troubleshooting to exploring advanced features to optimizing your workflow, we’re here to help.

CMake 4.0 introduces a new experimental feature: build process instrumentation. This feature enables detailed tracking of the entire CMake workflow—including configure time, build execution, testing, and installation—providing developers and teams with actionable insights into build performance. With fine-grained metrics such as target-specific compile times and resource usage, this system is ideal for identifying bottlenecks and areas for improvement. By enabling telemetry with this feature, projects can gain insight into build performance over time, across teams or CI systems. Instrumentation hooks allow integration with third-party tools by supporting user-defined callbacks, making it easy to extend and customize the data collection pipeline.