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.
It doesn’t matter what car you drive — it could be a snazzy Ferrari or a humble FIAT Punto — ultimately what we’re all looking for is a car that performs well and maybe saves us a little money at the pump.
The upcoming joint ANSYS-ESTECO webinar on September 15th will discuss just how important a single component, in this case, a tensioner arm, can be. Chain tensioner arms may not be as well known as pistons and gearboxes, but, by maintaining the correct amount of tension on the chain at all times throughout its duty cycle, they are important for reliable operation of the accessory chain drive system. The chain tensioner also helps protect other components, such as the alternator and water pump, from undue stress and premature failure. A well-designed chain tensioner can also help boost engine performance and efficiency. Continue reading →
Most simulation engineers with a hunger for high performance computing (HPC) have looked longingly to the cloud. Cloud computing has the potential to provide virtually unlimited access to HPC, enabling larger simulations and more design variations to be done in less time, since many machines working in parallel can solve even very large problems quickly. While the cloud offers much more than unlimited computing power, it’s those HPC resources that provide the strongest pull to the cloud. The question we seek to answer here is, “is it possible to get cloud-based HPC at very low cost?” Continue reading →
Manufacturers are under intense pressure to create and introduce new products on a consistent basis in order to remain competitive. Those that can conceive, develop, test and bring products to market quickly stand to realize improvements to overall business performance and profitability.
Computer-aided engineering (CAE) streamlines the product development process and drives faster time-to-market by helping manufacturers resolve design challenges, forecast real world product performance and test fewer prototypes.
Best-of-breed CAE software like ANSYS can nurture design innovation and enable faster delivery of more successful product offerings, but only if IT can scale to support a wide range of CAE applications and workloads. Continue reading →
In the first part of this two-part post, I already addressed four of the eight cloud computing best practices that are fundamentally related to simulation data and end-user access. Now I’ll address best practices that are associated with licensing, HPC workloads, and business support for cloud deployments. Continue reading →
Rapid growth in the use of engineering simulation tools – and in the demand for high performance computing (HPC) – is driving interest in cloud computing. Using the cloud for simulation presents unique challenges with different solution types required for specific use-cases. For many years, I have been on this journey with customers adopting cloud computing. Quite a few of them has been enabled through the UberCloud project. Let me share some lessons learned and key takeaways. I will basically do that by means of eight “best practices”: Continue reading →