Author: Ilea Graedel

Want to Run CAE Simulations in the Cloud?

When running engineering and scientific simulations, high performance computing (HPC) resources are often vital components in successful analyses being executed in a timely manner. The multi-billion dollar HPC industry continues to grow to meet popular demand for the improved performance, […]

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Video Tutorials Help Users Set Up Simulations

Rescale provides a suite of fully integrated simulation and workflow software tools, including, Abaqus, CONVERGE, LS-DYNA, Nastran, and Fluent, among others (for a full list please click here). Partnerships with the software vendors who have developed these software packages are […]

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Rescale Team Welcomes Phil Alexander

Rescale is pleased to welcome Phil Alexander, vice president of business development, to the Rescale team. Phil joins Rescale from IBM, where he managed global independent software vendor (ISV) strategic alliances and distribution partners for technical computing. A long time […]

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Holiday Greetings from Rescale

Located in the heart of fast-paced technology and budding entrepreneurial endeavors, Rescale too saw big changes and movement throughout 2013. Over the course of the year, Rescale expanded its staff to welcome the addition of the following, Software Engineer: Daniel […]

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ReUP Simulation Research Grant Winners

San Francisco, CA – Monday, September 9th marked the submission deadline for the first annual Rescale University Program (ReUP) Simulation Research Grant competition. The competition was created to enable engineering and science researchers at universities around the world to run […]

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Introducing Sharing on Rescale

Project collaboration can be very time-consuming, and it’s often a difficult task to distribute assignments to colleagues. When engineers and scientists spend their time collecting and sharing files back and forth, it reduces the time they could spend on product […]

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Introducing Cloning on Rescale

Engineers and scientists spend significant time managing their simulation data. This problem will only increase in coming years as engineers run larger analyses more often. Instead of spending time understanding and analyzing results, engineers and scientists are instead devoting time […]

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