Supercomputer Simulations Linchpin Of Third Industrial Revolution

By: | December 11th, 2014

Supercomputer Simulations Turbulent Flow

Supercomputer Simulations – Simulation of Jet Engine Noice – new engine design in gray (Image Courtesy

Supercomputer simulations and stronger and lighter materials are helping engineers simplify designs and make products more efficient and efficiently. Supercomputer simulations are increasingly at the heart of the “Third Industrial Revolution” that is beginning to transform life as we know it; the airplane industry, for example, is now building more fuel efficient planes to improve profits.

Supercomputer Simulations To Model Complex Systems

Many natural phenomena, such as hurricanes and tornadoes, to name just two, are too complex for humans to understand and measure: computer models and simulations are the only tools we have to understand them.

Challenges engineers face are greater than ever before as humans seek to do things they have heretofore only dreamed of: extended space exploration and tourism, capturing comets, cleaning up space junk, finding alternative energy competitive with fossil fuels, etc.

Today products are developed virtually and simulations run on new designs to see how they react in a variety of scenarios before actual 3D prototypes see the light of day.

And much of the simulation these days requires powerful supercomputers, for example, National Energy Technology Laboratory’s ¬†(NETL’s) 503 terraflop (tflop) with a trillion floating-point operations per second, simulates phenomena like cold jet penetration into a gasifier, maximizing output and performance of fossil fuel power plant, reducing the environmental impact of nuclear power plants, and¬†speeding up simulation speeds of computational fluid dynamics for micro air vehicles (MAVs).

Supercomputers Becoming More Common

In fact, many of us interact with supercomputers every day. Each time we go online our connection to the Internet is facilitated by high-performance supercomputers.

But doing complex simulations on computers requires masters or PhD level mathematics and the number of engineers with the native ability and motivation to work in this area is limited.

In modeling engineering design processes, computer software uses mathematical models and attempts to predict outcomes. A new health care supercomputer software called IMAGINE, for example, calculates the dose to be given to a patient, using Monte Carlo simulation on several supercomputers.

As supercomputers have become more common, engineers and scientists are beginning to use off-the-shelf “precalculated supercomputer data” as structural components, like Lego blocks, to help design and build simulations more quickly, reducing simulation times.

For more on Supercomputer Simulations Based Engineering Science, see “Revolutionizing Engineering Science Through Simulation.”

Michael Cooney


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