Wim is Director for High Performance Computing (HPC) and Cloud Alliances at ANSYS, Inc. In his role, he is also responsible for the overall design and execution of the global HPC & Cloud partner program within Corporate Marketing at ANSYS. Prior to that, Wim was the Lead Product Manager of HPC. Wim was also Corporate Product Manager for the CFD product line and the Business Manager for Explicit Dynamics and Offshore. Before joining ANSYS in 2003, Wim worked at MSC Software since 1994 in various management positions related to software development, consulting, and sales. Wim holds a Ph.D. degree in Aerospace Engineering from the Technical University of Delft in the Netherlands.
“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.”
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 →
Some records are broken for glory, while others, like HPC, have more practical results. Compare 2017 Nathan’s Famous International Hot Dog Eating Contest champion Joey Chestnut’s record-breaking feat of eating 72 hot dogs (with buns) in 10 minutes during the annual July 4 contest to ANSYS, Saudi Aramco and King Abdullah University of Science and Technology (KAUST) shattering the supercomputing record by more than 5x. Chestnut was awarded the “Mustard Belt” for the 10th time, $10,000 and an additional 20,000+ calories for his impressive performance. By leveraging high performance computing, Saudi Aramco and KAUST worked with ANSYS to speed up a complex simulation of a separation vessel from several weeks to an overnight run! Continue reading →
ISC 2017 in Frankfurt, Germany (copyright Philip Loeper)
My visit to ISC High Performance last month in Frankfurt, Germany re-affirmed my belief that computing innovation shows no signs of slowing down. I participated in an industrial HPC user panel at the event, which has traditionally focused on big supercomputing solutions for government and research institutions. The fact that this year’s ISC broke attendance records and dedicated so much time to industry sessions shows how much HPC has become entrenched in other industries.
We have been working with Intel on a few innovations that I wasn’t at liberty to discuss at ISC, but can now share with you that Intel announced its new processors and improvements to their accompanying technologies yesterday. We have been working with Intel to benchmark ANSYS software on the new technologies before their release, so that our mutual customers can immediately see what benefits they’ll receive. Here’s a sneak peek at the results. Continue reading →
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 →
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 →
Although businesses are increasingly using cloud computing for engineering simulation, many misconceptions still surround cloud-based simulation.
This post debunks the leading misconceptions about cloud computing, and, in doing so, will assist engineering and IT managers, as well as directors, as they make decisions regarding computing resources. While dispelling these misconceptions, I will share resources and provide insight to help organizations steer around possible failure points as they consider cloud computing. 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 →
In my talks with engineering managers, flow analysts and IT staff, I often hear variants of this question. Why is more computing power a strategic asset for my engineering department? Why does scalability matter for my simulation jobs that don’t go beyond 32–64 cores in parallel? What’s in it for IT when we are stuck with our current HPC server or cluster for at least two years? Let me try to answer each of these questions. Continue reading →