How to Use the Cluster Sweep Node in COMSOL Multiphysics®

Pär Persson Mattsson June 12, 2018

In a previous blog post, we explained how to run a job from the COMSOL Multiphysics® software on clusters directly from the COMSOL Desktop® environment, without any interaction with a Linux® operating system terminal. Since this terminal is sometimes treated with excessive respect, the ability to start a cluster job directly from the graphical user interface is one of the most useful features in the COMSOL® software. Plus, there’s more to it… Enter the Cluster Sweep node.

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Lars Drögemüller March 9, 2018

Many types of analyses benefit from running the COMSOL Multiphysics® software on high-performance computing (HPC) hardware. This is one of the main reasons behind the Cluster Computing node, which helps seamlessly integrate the COMSOL® software with any kind of HPC infrastructure, while maintaining the convenience of a graphical user interface. In this blog post, learn how to run large simulations remotely on HPC hardware directly from the COMSOL Desktop® graphical environment.

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Pär Persson Mattsson February 20, 2015

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.

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Walter Frei October 24, 2014

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.

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Walter Frei October 7, 2014

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.

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Fabian Scheuren June 23, 2014

One of the main issues with high-power electrical devices is thermal management. Together with BLOCK Transformatoren-Elektronik GmbH, we created a model using COMSOL Multiphysics simulation software that encompasses all of the important details when modeling heating of high-power electrical devices. To do so, we had to utilize high performance computing (HPC) with hybrid modeling. Here, we will discuss how to approach this real-life task with the COMSOL software.

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Pär Persson Mattsson April 11, 2014

Many of us need up-to-date software and hardware in order to work efficiently. Therefore, we need to follow the pace of technological development. But, what should we do with the outdated hardware? It feels wasteful to send the old hardware to its grave or to just put it in a corner. Another, more productive, solution is to use the old hardware to build a Beowulf cluster and use it to speed up computations.

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Thorsten Koch March 27, 2014

To keep up with today’s fast-paced development cycles, R&D engineers and scientists need efficient tools to provide answers quickly and free them from routine tasks. COMSOL Multiphysics® has built-in features like parametric sweeps to increase simulation productivity. In addition to graphical modeling, COMSOL offers an Application Programming Interface (API) that you can use to automate any repetitive modeling step. Here’s how to get started with the COMSOL API for use with Java®.

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Pär Persson Mattsson March 20, 2014

One thing we haven’t talked much about so far in the Hybrid Modeling blog series is what speedup we can expect when adding more resources to our computations. Today, we consider some theoretical investigations that explain the limitations in parallel computing. We will also show you how to use the COMSOL software’s Batch Sweeps option, which is a built-in, embarrassingly parallel functionality for improving performance when you reach these limits.

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Jan-Philipp Weiss March 6, 2014

Previously in this blog series, my colleague Pär described parallel numerical simulations with COMSOL Multiphysics on shared and distributed memory platforms. Today, we discuss the combination of these two methods: hybrid computing. I will try to shed some light onto the various aspects of hybrid computing and modeling, and show how COMSOL Multiphysics can use hybrid configurations in order to squeeze out the best performance on parallel platforms.

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Pär Persson Mattsson February 20, 2014

In the latest post in this Hybrid Modeling blog series, we discussed the basic principles behind shared memory computing — what it is, why we use it, and how the COMSOL software uses it in its computations. Today, we are going to discuss the other building block of hybrid parallel computing: distributed memory computing.

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