Sales of electric vehicles (EVs) are skyrocketing. Driven by technological improvements in powertrains and batteries, environmental regulation, and shifting consumer demand for greener vehicles, global sales of EVs rose by 40 percent last year. And the electrification revolution is only getting started. This growth trend will continue as the cost of owning electric vehicles declines and approaches the cost of internal combustion engine (ICE) vehicles sometime within the next decade.
“Please fasten your seat belts, we may encounter some turbulence as we enter the clouds ahead,” the pilot announced on my flight back from a big computer conference in Denver last month. The lady sitting next to me leaned over and admitted: “I never really understand what the pilot means by that announcement.” It reminded me that you may also need some clarity about cloud computing for your ANSYS simulations.
Bumps along a cloud-computing journey can be caused by concerns about security and where the data is stored, lack of licensing options and/or end-user productivity. We have taken steps to ensure you can move in and out of the cloud smoothly, and in analogy with what I just wrote: in our case “no seat belts required.”
Engineers at every company are trying to innovate faster while holding down costs. Modeling and engineering simulations are the backbone of these efforts. Engineers may wish to run ANSYS Fluent simulations at scale, or many different permutations simultaneously, that may require more computing resources than are readily available. Hybrid HPC computing combines public and on-premise compute resources to offer organizations a flexible, cost-effective approach to meet these requirements.
Whenever I speak to our customers who want to run our software on something more powerful than their desktop computers, I hear the need for quantitative proof of HPC benchmark tests. If you have the same need, you can now get that proof, and it won’t cost you a thing.
We’ve established a Free Performance Benchmark program. Instead of demonstrating evidence of the benefits of HPC on standard benchmark models, we want to show you the time savings that HPC can make possible for your very own model. Continue reading
In the world of stock-car racing, finding even the smallest competitive advantage is the difference between winning and losing.
That’s why at Richard Childress Racing, we design and build our race cars end-to-end. We engineer and machine our own chassis and suspension components, we design and fabricate our own bodies, and we test and build our own engines. Everything is built from the ground up at RCR.
Many engineers are using powerful simulation software but are still not deploying HPC to the full extent. Case in point, I presume most of you have heard about the 24 Hours of Le Mans race. There is one starting June 17. I find it very exciting, not least because teams of three drivers per car compete to complete the most laps around the 13.629-km Circuit de la Sarthe in 24 hours! The race cars reach more than 320 km/h on the straightaway, spending most of the 24 hours at full throttle.
Imagine the roar of the engine drowning out the cheers of the crowds as you speed smoothly around the track in a finely tuned (thanks to simulation) race car. Now imagine the track is a country road or dirt road, not so smooth or speedy now, is it? Continue reading
Digital twins continue to grow in importance. Here in Germany, engineers at many companies, including Bosch and Daimler, are dealing with complex applications and the challenge to improve the product performance to come up with an optimized and robust virtual design. They need to determine and evaluate the robustness of virtual prototypes, considering scattering effects, which is difficult or not even possible in hardware tests. Software is used to accurately and rapidly generate proper samples and the resulting understanding saves them a lot of time and money in prototyping so they can stay competitive. Continue reading
Some world records are the stuff of legend. The official land-speed record is 763 mph. The tallest man living measures 251 cm. The fastest ball bowled by any bowler is 100.23 mph and the heaviest vehicle pulled over a level, 100 ft course weighs 68,090 kg. Compared to these feats, records for supercomputing can seem a little flat. However, they are no less impressive and indeed, and stand to have a far greater impact on our day-to-day lives. Continue reading
Looking back at the past couple of years of extraordinary joint engineering projects SGI and ANSYS have undertaken, it is clear to me that when a synergetic hardware and software partnership is established you, our joint customers, are the clear beneficiary. To that end, I would like to walk you through four such examples.
The first example was outlined over a year ago in my ANSYS guest blog, “Solving the Impossible Electromagnetic Simulation with HPC” where with a “grand challenge” benchmark we jointly demonstrated that the SGI® UV platform and ANSYS HFSS software could solve very large, high frequency electromagnetics problems like cosite analysis and radar cross section (RCS) analysis, as well as allow multiple frequency sweeps to be run without running out of computer system memory. Continue reading
My colleagues Steve Del, Giovanni Petrone and I often discuss the benefits of moving engineering simulation to the cloud, marshalling greater computing resources and faster processing on high-performance computing (HPC) solutions. While most companies would find this compelling, budget-conscious companies are concerned about the costs. The missing piece is a pay-per-use simulation business model, where you use what you need, when you need it, and only pay for what you use.
Well, now that piece is in place. Last week’s release of ANSYS Enterprise Cloud adds support for ANSYS Elastic Licensing™, enabling you to fully leverage the pay-per-use business model on the public cloud for both hardware and software. Continue reading