Tackle the Full Simulation Lifecycle With CMB

The Computational Model Builder (CMB) leverages several powerful open-source tools and integrates them into an application framework that can be readily adapted to specific problem domains. CMB pulls the together tools and simulation codes such as Open-Cascade, Nek5000, Hydra-TH, DAKOTA, PHASTA, ParaView, MOAB, Albany, and MeshKit into a cohesive, end-to-end framework. This application framework approach allows scientists and engineers to focus on their domain expertise rather than worrying about the integration of disparate software and simulation codes. CMB is part of Kitware’s collection of commercially supported open-source platforms for software development.

CMB News

A Framework for Next-Generation Visual Workflows in Scientific Computing

A Framework for Next-Generation Visual Workflows in Scientific Computing

The 21st century has witnessed remarkable advances in computational and experimental sciences, with processing power expanding from terascale to exascale—a million-fold increase in capability—and experimental devices achieving unprecedented scales of data collection. Visualization technologies have kept pace, as modern GPUs now enable the analysis and rendering of complex datasets that were once out of reach. At the same time, artificial intelligence has disruptively reshaped research by not only augmenting existing methods but also transforming the problems we can address and the ways we solve them. Scientific and engineering work now depends on the integration of experiments, large-scale computation, and AI, involving diverse participants from domain experts to decision-makers. Yet, traditional tools such as documents, charts, spreadsheets, and static visualizations are no longer sufficient to support collaboration.

Making Waves with Computational Model Builder

Making Waves with Computational Model Builder

Traditional wave tank experiments are essential for understanding hydrodynamics, but come with significant challenges. They require substantial investments in physical models, actuators, and instrumentation. Moreover, scaling effects introduce complexities, such as the dominance of viscous forces at smaller scales and the variability of material properties. Reproducing interactions between wind and waves accurately remains a persistent issue.

Announcing the Release of SMTK 25.06

Announcing the Release of SMTK 25.06

The 25.06 release of the Simulation Modeling Toolkit (SMTK) brings a wide range of improvements aimed at making simulation workflows easier to implement as well as being more intuitive and adaptable.  A More Intuitive API The methods you use to get and set unit systems have been renamed to better reflect common engineering language—so now […]

Combine High-fidelity Modeling with Productive Workflows Using OpenFOAM and CMB

Combine High-fidelity Modeling with Productive Workflows Using OpenFOAM and 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.

Source: www.kitware.com

Kitware Platforms

CMake 4.2.1 available for download

CMake 4.2.1 available for download

CMake 4.2.1 available for download

CMake 4.1.4 available for download

CMake 4.1.4 available for download

CMake 4.1.4 available for download

A Framework for Next-Generation Visual Workflows in Scientific Computing

A Framework for Next-Generation Visual Workflows in Scientific Computing

The 21st century has witnessed remarkable advances in computational and experimental sciences, with processing power expanding from terascale to exascale—a million-fold increase in capability—and experimental devices achieving unprecedented scales of data collection. Visualization technologies have kept pace, as modern GPUs now enable the analysis and rendering of complex datasets that were once out of reach. At the same time, artificial intelligence has disruptively reshaped research by not only augmenting existing methods but also transforming the problems we can address and the ways we solve them. Scientific and engineering work now depends on the integration of experiments, large-scale computation, and AI, involving diverse participants from domain experts to decision-makers. Yet, traditional tools such as documents, charts, spreadsheets, and static visualizations are no longer sufficient to support collaboration.

ITK 5.4.5 Released

ITK 5.4.5 Released

We are pleased to announce the release of ITK 5.4.5! ITK 5.4.5 is maintenance release focused on critical bug fixes, improved documentation, and platform support, while introducing AI agent onboarding to assist in project maintenance tasks 🤖. This is the latest maintenance update for this cross-platform, open-source toolkit supporting N-dimensional scientific image analysis with spatially-aware algorithms. […]

CMake 4.2.0 available for download

CMake 4.2.0 available for download

CMake 4.2.0 available for download

Source: www.kitware.com
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