In June 1992, a Jaguar XJ220 clocked 212 mph at the Nardo ring in Italy, making it the fastest production car in the world. Getting the aerodynamics there had taken years of wind tunnel hours: build a model, measure it, modify it, measure again. Computational tools existed, but they were a supporting input rather than the primary method. That balance has since inverted. Every major automotive manufacturer now develops its aerodynamic package computationally first and uses the

In 2025, Michelle Ash, CEO of Dassault Systèmes' SIMULIA brand, described a plastic bottle manufacturer that used to produce and crush thousands of physical bottles every year just to test compression performance. With simulation, those tests moved to software. The bottles stopped being destroyed. The savings went directly to the bottom line [1]. That example is small in scale but representative of a pattern that plays out across every major industry: simulation replaces a ph

"We know embarrassingly little about how the mesh affects the CFD solution." That statement came from Prof. Carl Ollivier-Gooch of the University of British Columbia, one of the leading researchers in CFD meshing. It was published in 2012 and has been referenced in CFD discussions ever since [1]. The paradox is this: every experienced CFD engineer knows that mesh quality is the single most consequential factor in whether a simulation is trustworthy. Yet the field still lacks

In 1940, a structural engineer named Richard Courant was trying to solve a torsion problem in a twisted cylinder. The geometry was too complex for the analytical methods of the time. His solution was to divide the cross-section of the cylinder into small triangular regions, solve the equations on each triangle, and assemble the results into an approximation of the full solution. Courant had no idea he was inventing the mathematical foundation of an industry. The method he des

In 1970, an onboard explosion crippled the Apollo 13 spacecraft 200,000 miles from Earth. NASA engineers on the ground had no way to physically inspect the damage. What they did have were exact physical replicas of the spacecraft, built alongside the real vehicle, that they used to simulate rescue scenarios and work out a solution before transmitting it to the crew. Those physical replicas were the conceptual predecessor of what we now call a digital twin. Half a century late

In 1922, a British mathematician named Lewis Fry Richardson had an idea that was, by any reasonable measure, absurd. He wanted to predict the weather through pure calculation. His plan involved 64,000 human "computers," each assigned to a cell on a spherical grid representing the Earth's surface, solving equations in parallel and passing results to their neighbors like a biological supercomputer. Richardson never built his "fantastic weather factory." But the mathematical fra

Quantum computing is rapidly evolving from a theoretical concept into a practical technology with the potential to transform engineering simulation, artificial intelligence, optimization, and scientific discovery. It also carries real implications for how SimOps teams will operate tomorrow's compute environments. A May 2026 HPCwire article, "Quantum Computing 101: Introduction to QC" by Alex Woodie, Editorial Director and HPCwire Managing Editor, provides an excellent overvie

In 1965, NASA issued a challenge: build a software program capable of structurally analyzing a spacecraft before it ever left the ground. The result was NASTRAN, a finite element solver that would go on to help design the Apollo lunar module, and eventually find its way into automotive, civil, and industrial engineering worldwide. What started as a government-funded aerospace tool became the foundation of an entire industry. Today, that industry has a name: Computer-Aided Eng

Every time an aircraft manufacturer designs a new plane, engineers run thousands of virtual tests before a single physical part leaves the factory floor. Every time a car company builds a new vehicle, its structural engineers "crash" it hundreds of times digitally before the first physical prototype is ever welded together. And every time a medical device company designs a new implant, they simulate years of wear and tear in a matter of hours. How? Engineering simulation. If

High-Performance Computing (HPC) is an essential technology for solving complex, compute-intensive problems across a wide range of industries, from engineering simulations and scientific research to financial modeling and machine learning. At the core of HPC systems is the architecture that enables high levels of computational power, parallel processing, resource management, and many more. In this comprehensive overview guide, we'll break down the key components of HPC archit