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.

In a world where scientific data is growing in volume and complexity, visualizing that data in meaningful ways has never been more important. Whether you’re modeling fluid dynamics, exploring medical images, or developing advanced simulations, a reliable, high-performance visualization engine is essential.

Since several minor releases, VTK has introduced support for virtual and augmented reality (XR) devices. This allows users to interact with data in more dynamic and intuitive ways through immersive visualizations and interactive 3D experiences. One key advantage of VTK’s support for XR is its compatibility with many devices, allowing seamless integration in various XR […]

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.