From the blog

Platform Updates and Software Release Notes – September 2020

Rescale now works with more than 600 applications.

Here are a few recent highlights:

FreeFEM 4.6 – FreeFEM is a popular 2 and 3D partial differential equations (PDE) solver used by thousands of researchers across the world.  It allows you to easily implement your own physics modules using the provided FreeFEM language.  Learn more here.

MedeA 3.1 – MedeA is the leading environment for materials design, modeling, and simulation for the Windows and Linux software platforms, designed and engineered to provide access to high quality simulation methods.  Learn more here.

USGS COAWST – Coupled Ocean-Atmosphere-Wave-Sediment Transport, or COAWST, is a modeling system created by the U.S. Geological Survey to understand processes responsible for coastal change.  Learn more here.

ESI Visual-Environment 16.0 – Visual-Environment is a single integrated user environment that caters to the engineering simulation needs across major industries.  It includes a comprehensive modeling tool to generate quality meshes on complex geometries for various engineering domains.  Learn more here.

ESI ProCAST 2020.0 – ESI ProCAST is an integrated software suite for the foundry industry that improves casting yield and quality. Learn more here.

OrcaFlex – OrcaFlex is a leading package for the dynamic analysis of offshore marine systems, renowned for its breadth of technical capability and user friendliness.  OrcaFlex also has the unique capability in its class to be used as a library, allowing a host of automation possibilities and ready integration into 3rd party software.  Learn more here.

 

Our full software catalog is available here.

 

Interested in learning more or about application availability?

Related articles

Three New Features That Will Debut with UI Redesign

Rescale provides a platform where its users (mostly engineers and scientists) can run their computer simulations on demand in the cloud. At a high level, running these computer simulations require two steps. First, an engineer or a scientist has to […]

read more »

Deep Learning with Multiple GPUs on Rescale: Torch

Today we will discuss how to make use of multiple GPUs to train a single neural network using the Torch machine learning library. This is the first in a series of articles on techniques for scaling up deep neural network […]

read more »

Leave a Reply

Your email address will not be published. Required fields are marked *