Tackle the Full Simulation Lifecycle With CMB

Building simulation workflows can be complicated. Trying to find and connect different tools to get the results you’re looking for can be inefficient, error-prone and take up valuable resources, including time and money. To make matters worse, sharing and deploying these workflows to fellow engineers, researchers, and academics tend to involve relying on hand written notes and scripts that can be difficult to follow and maintain.

It’s been quite a while since the last release of SMTK and we wanted to start off 2024 with a feature packed release which includes the following improvements: Important SMTK Core Changes The changes in this section have a widespread impact on SMTK. Type Hierarchy Reflection SMTK has long provided introspection functionality for classes such […]

The theme for SC23, “I Am HPC,” is fitting for Kitware because we’ve been a part of the HPC community for more than two decades. From the early days at Kitware when we were developing VTK to building software that thrives on the world’s most powerful computers today, scientific visualization is a critical part of who we are as a company.

Kitware is hosting live training courses for our popular open source platforms. Our courses are taught by Kitware’s software R&D experts who champion these platforms. They mix theory and application with a set of tutorials and exercises. If you are interested in taking one of our upcoming courses, register now to take advantage of our […]

CMake 3.30.1 available for download

CMake 3.29.7 available for download

Using delayed load plugins Loading a ParaView plugin can take some time, up to a few seconds for the biggest of plugins. If you use autoload for many of your plugins, especially big ones, you pay the loading time everytime you open ParaView, delaying the opening of ParaView by crucial seconds. What if there was […]

CMake 3.30.0 available for download

Introducing NimbusImage, a platform to empower scientists to analyze their image data and spend their time making discoveries rather than struggling to process their datasets.