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The third CMake 4.2 release candidate!

High-performance simulations generate massive datasets—but extracting insight from that data shouldn’t be a bottleneck. ParaView Catalyst integrates analysis and visualization directly into the simulation workflow, delivering in situ processing that eliminates the need for slow, storage-heavy post-processing. The result? You get immediate feedback, streamlined workflows, and new opportunities to steer simulations on the fly. Built […]

In today’s era of high-performance computing (HPC), organizations are generating data faster than ever before. Simulations that once took months can now be completed within weeks or even days on exascale systems. But there’s a problem: the process of turning that massive data into insight still lags behind.

The second CMake 4.2 release candidate!

Biomedical research today is generating increasingly vast and complex datasets along with an explosion of scientific literature that is overwhelming scientists’ ability to keep up. For example, PubMed is a free-to-access flagship scientific literature database maintained by NIH that has been growing exponentially for over 50 years (exceeding one million new publications per year over […]

Water as a Critical Resource for Energy Water is often overlooked as the hidden fuel for electricity generation. Hydropower (see Figure 1)  relies directly on river flows, but fossil fuel and nuclear facilities also consume large volumes of water for cooling and operations. Shortages or warmer stream temperatures can restrict production, and these challenges are […]

Each year, Supercomputing (SC) brings together the world’s leaders in high-performance computing to share groundbreaking advances in hardware, software, and scientific innovation. Kitware is proud to return as a long-time exhibitor, showcasing how interactive visual workflows are redefining what’s possible in HPC, AI, and large-scale simulation.

High-resolution simulations are producing massive datasets, but traditional post-processing pipelines struggle to keep up. Writing full timesteps to disk introduces significant I/O bottlenecks, and reducing output frequency compromises temporal fidelity and analysis resolution. Researchers need smarter, faster ways to analyze data while simulations are running.

Modern scientific and engineering applications increasingly rely on rich, interactive 3D visualization to interpret complex data. Traditional desktop deployments, however, create barriers, installation overhead, platform dependencies, and limited scalability. As workflows migrate to the web, there is a clear need for performant, browser-native solutions that can deliver the sophistication of desktop tools without their constraints.

The first CMake 4.2 release candidate!

Developing interactive applications for scientific and engineering workflows often requires bridging complex visualization backends with responsive user interfaces. Traditional web frameworks can introduce additional overhead, demanding expertise outside the core domain of research and simulation.

Python isn’t just a language you code in—it’s the foundation for some of today’s most groundbreaking technologies. From large-scale simulations to NLP and AI, Python is powering research and innovation across industries. By integrating Python into open source platforms, high-performance workflows, and next-generation applications, Kitware is helping organizations tackle their most ambitious projects. Powered by […]

VTK has recently introduced support for ONNX Runtime, opening new opportunities for integrating machine learning inferences into scientific visualization workflows. This feature is also available in ParaView through an official plugin. What are ONNX and ONNX Runtime? ONNX (Open Neural Network eXchange) is an open file format designed to represent machine learning models in a […]

CMake 4.1.2 available for download

High-performance simulations generate massive datasets—but extracting insight from that data shouldn’t be a bottleneck. ParaView Catalyst integrates analysis and visualization directly into the simulation workflow, delivering in situ processing that eliminates the need for slow, storage-heavy post-processing. The result? You get immediate feedback, streamlined workflows, and new opportunities to steer simulations on the fly. Built […]

Bug fixes made since ParaView 6.0.0 are listed below: Faulty default color map in ParaView 6.0.0 fixed The “Fast” color map, which is the new default in ParaView 6.0.0, was not correctly defined in the ParaView 6.0.0 release. Its color space was set to “Diverging” rather than “Lab”. As a result, the central lightest point […]

Deep learning currently dominates the field of medical image analysis. From brain tumor detection to cartilage segmentation and lung nodule analysis, convolutional and transformer-based neural networks often take center stage. Yet, behind every high-performing AI model, there is a need for reliable image preprocessing, spatial normalization, and data handling libraries. This is where the Insight […]

You can send build and test information to CDash even if you aren’t using CMake to build your software.  In this blog post, we’ll walk through the steps to set up CTest-driven testing that reports to a CDash dashboard. Following the example of the CMake tutorial where a C++ executable is created to calculate the […]