General Blog Posts
Intro to the What, Why, and How of Shared Memory Computing
A couple of weeks ago, we published the first blog post in a Hybrid Modeling series, about hybrid parallel computing and how it helps COMSOL Multiphysics model faster. Today, we are going to briefly discuss one of the building blocks that make up the hybrid version, namely shared memory computing. Before that, we need to consider what it means that an “application is running in parallel”. You will also learn when and how to use shared memory with COMSOL.
Size Parameters for Free Tetrahedral Meshing in COMSOL Multiphysics
COMSOL Multiphysics® has 9 built-in size parameter sets when meshing. In this blog post, we’ll discuss size parameters for 1 of these sets: free tetrahedral meshing.
Overview of Integration Methods in Space and Time
Integration is an important mathematical tool for numerical simulations. For example, partial differential equations are usually derived from integral balance equations.
Using the General Extrusion Coupling Operator in COMSOL: Dynamic Probe
Consider a laser heating example with a moving heat source (laser) and moving geometry. How can you use the General Extrusion coupling operator to probe a solution at a point in the geometry?
Hybrid Parallel Computing Speeds Up Physics Simulations
Remember 20 years ago, when the TOP500 list was dominated by vector processing supercomputers equipped with up to a thousand processing units? Let’s take a walk through history to the future.
Solving Algebraic Field Equations
COMSOL Multiphysics® is commonly used to solve PDEs, ODEs, and initial value problems. However, did you know that you can also solve algebraic and even transcendental equations?
Visualization for 2D Axisymmetric Electromagnetics Models
Today we’ll look at how to make 3D plots of vector fields that are computed using the 2D axisymmetric formulation found in the Electromagnetic Waves, Frequency Domain interface within the RF and Wave Optics modules.
Using Adaptive Meshing for Local Solution Improvement
One of the perennial questions in finite element modeling is how to choose a mesh. We want a fine enough mesh to give accurate answers, but not too fine, as that would lead to an impractical solution time. As we’ve discussed previously, adaptive mesh refinement lets the software improve the mesh, and by default it will minimize the overall error in the model. However, we often are only interested in accurate results over some subset of the entire model space. […]