Cluster & Cloud Computing Blog Posts
Exploiting Hardware Parallelism with COMSOL® Batch Sweeps
What is a batch sweep? How do I set up a batch sweep for my model? How much batch parallelism can COMSOL Multiphysics® exploit? We answer these questions and more…
Digital Twins and Model-Based Battery Design
By combining high-fidelity multiphysics models with lightweight models and measured data, engineers can create digital twins to understand, predict, optimize, and control real-world systems.
How to Use the Cluster Sweep Node in COMSOL Multiphysics®
Keep your cluster admin happy by using the Cluster Sweep node in COMSOL Multiphysics® to optimize the parallelization of parametric computations on clusters.
How to Run on Clusters from the COMSOL Desktop® Environment
You can run large simulations remotely on HPC hardware directly from the COMSOL Desktop® graphical environment. Learn how in this tutorial blog post.
Running COMSOL Multiphysics® with Cloud Computing
We have previously written about HPC with the COMSOL Multiphysics® software, clusters, and hybrid computing. But not all of us have a cluster available in the office (or the hardware to build a Beowulf cluster). So what possibilities do we have if we really need that extra compute power that a cluster can give us? One solution is to utilize cloud computing, a service that provides compute power on a temporary basis, to give our computations and productivity a boost.
How Much Memory Is Needed to Solve Large COMSOL Models?
One of the most common questions we get is: How large of a model can you solve in COMSOL Multiphysics? It turns out that this is quite tricky to answer decisively, so in this blog entry, we will talk about memory requirements, model size, and how you can predict the amount of memory you will need for solving large 3D finite element problems.
Understanding Parallel Computing
People are always asking how the performance of COMSOL Multiphysics® simulation software will improve on a parallel system, especially now that large multi-core desktop computers are relatively inexpensive and it’s easy to rent time on cloud services like the Amazon Elastic Compute Cloud™. It turns out, though, that it’s not always possible to get faster performance just by throwing more hardware at the problem. To understand why, let’s take a conceptual look at computers and the algorithms COMSOL® software uses.
Getting the Most out of Client-Server Mode
When using COMSOL Multiphysics on a Floating Network License, it is possible to use the Client-Server mode of operation to access remote computing resources for solving large models, while still using the graphics card on a local machine to display graphics. This can have some significant advantages, so let’s look at Client-Server mode in more detail.
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