From the beginning, HPC has been involved in the modelling and simulation of complex physical and quasi-physical systems. Modelling and simulation analysis enables an organization to gain a better understanding of a certain project, without the need to actually test the product in real-life. Thanks to this approach, for example, Tesla was able to have the early edition of the Tesla Roadster pass dozens of tests, without the need for dozens of cars that could be crashed (as is traditionally done in the automotive industry).

What Tesla did in developing the Tesla Roadster has become common practice for Tesla. But also in other industry, simulation analysis can save companies a lot of money when developing new products. Thousands of iterations can quickly be tested taking into account hundreds of different variables. Based on the outcome of each simulation, the eventual product is improved. High-Performance Computing is required to perform these millions of simulations, at least if you want to get it done relatively quickly.

As computing power becomes increasingly commoditized (and therefore more affordable), faculty in the humanities and social sciences are becoming HPC users. Different universities are taking a different approach to provisioning HPC resources, but all are supporting various types of research to attract talented faculty and to support their work. Because, in today’s competitive landscape; If you build it, they will come — or, at the very least, if you don’t build it, they’ll probably go somewhere else. The “it” here refers to high-performance computing resources, and “they” refers to talented faculty members. More and more, HPC is becoming a competitive differentiator for institutions vying for top researchers.

High Performance Computing (HPC) allows scientists and engineers to solve complex, compute-intensive problems. HPC applications often require high network performance, fast storage, and large amounts of memory, very high compute capabilities, or all of these. Utilize high performance computation (HPC) clusters in minutes and scale capacity quickly to avoid research bottlenecks caused by resource limitations.