IDC reports many companies are struggling with costly development cycles, delays to market, poor product life cycle planning, and a shortage or misappropriation of highly skilled engineering resources. The adoption of HPC by manufacturers, both large and small, can help alleviate these problems.
Over at the Ansys Blog, Wim Slagter has posted the second segment of his blog post six common myths about HPC for engineering simulation. “I would be really ignorant to state that it is easy to deploy and manage a HPC cluster. As a matter of fact, sizing, building, integrating, provisioning and supporting a cluster infrastructure requires highly specialized IT expertise that is often lacking users of engineering simulation software.”
“The independent software vendors, which make the programs that scientists and engineers would like to use in the cloud, are not sure how they can license their software for such an environment. As Felix Wolfheimer of CST remarked, in a moment of candor: “There is a lot of fear in the sales department about opening up the licensing model’ so that software licenses will be flexible enough for use in the cloud.”
“Whereas previous generations of engineers could take some comfort in the ‘safety net’ of extensive physical testing to rescue them from the occasional poor prediction, CAE is increasingly the victim of its own success as simulation continues to displace hardware testing as industry’s verification method of choice. Although this increased confidence in simulation is well-deserved (and has been hard-earned through many years of successful prediction), it brings with it a great deal of pressure to ‘get the answer right’ every time.”
“One important recent technological development might have the power to change the world of HPC cloud: UberCloud Containers. The UberCloud started in mid-2013 using an open platform, called Docker, that can package an application and its dependencies in a virtual container that runs on any modern Linux server. The UberCloud enhanced Docker to suit it for technical computing applications in science and engineering.”