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.

The first CMake 4.1 release candidate!

The VTK release team is thrilled to announce the release of VTK 9.5.0, a significant update to the Visualization Toolkit! While this is a new minor version, v9.5.0 brings a host of new features, performance improvements, and important updates that continue to empower developers and researchers in creating cutting-edge scientific visualization applications. VTK 9.5 reflects […]

Background & Motivation Trame has revolutionized how we build interactive scientific visualization applications in Python. By enabling developers to create rich graphical interfaces that seamlessly embed VTK/ParaView, Plotly, Matplotlib, and other visualization libraries with just Python scripts, trame has democratized access to powerful visualization tools. However, this convenience comes with a challenge that many trame […]

In this blog post, we demonstrate the central role of scientific visualization in Digital Twins, and how Kitware’s solutions like ParaView or LidarView can bring powerful capabilities with real-time processing of large data, including running AI-based surrogate models for complex predictions. Scientific Visualization at the core of Digital Twins The term “Digital Twin” may correspond […]

ITK 5.4.4 has been released with a round of bug fixes, documentation updates, and improve platform support.