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

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.

Breaking Down Barriers: How Computational Model Builder Solves Integration Challenges in Simulation Workflows

Breaking Down Barriers: How Computational Model Builder Solves Integration Challenges in Simulation Workflows

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.

Supercomputing 2024

Supercomputing 2024

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.

Source: www.kitware.com

Kitware Platforms

CMake 3.31.3 available for download

CMake 3.31.3 available for download

Custom Python interactor styles for CAVEInteraction plugin

Custom Python interactor styles for CAVEInteraction plugin

This is the first in a two-part series of posts describing recent improvements to the CAVEInteraction plugin.  As it’s the first, some introduction and background about the plugin is warranted. CAVEInteraction Plugin The CAVEInteraction plugin has been included with ParaView for many years, although prior to ParaView 5.11.0 it was named VRPlugin.  The name was […]

VTK and NumPy – a new take

VTK and NumPy – a new take

Ten years ago, I wrote this series of blogs introducing a (then) new way of interfacing VTK and NumPy. In the first blog, I had a teaser that I then expanded on: Over the last year, we have introduced a simpler and more pythonic interface. As of VTK 9.4, the code above can be expressed […]

JupyterLab Trame Manager at Jülich Supercomputing Centre

JupyterLab Trame Manager at Jülich Supercomputing Centre

This is a guest blog post from Jonathan Windgassen and Jens Henrik Göbbert, both developing the software stack at the Jülich Supercomputing Centre in Germany. They have agreed to share with us the integration of trame, jupyter lab and ParaView to ease the life of their scientists. As a bonus they include the code to […]

CMake 3.31.2 available for download

CMake 3.31.2 available for download

CMake 3.31.2 available for download

Source: www.kitware.com
Download the latest release of CMB
Develop input models for computational simulations with ModelBuilder
Represent geometric models and meshes with SMTK
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