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. Continue reading →
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 →
When one of my friends asked me on Saturday night what I like about my job, I started off by saying that “there is never a dull moment in high-performance computing. The computing landscape is constantly changing, the HPC ecosystem collaborations are so numerous and intriguing, and the strategic/economic value of HPC for simulation has never been greater” (or: relevance of HPC for organizations to become more competitive is so compelling).
All of this was very evident at last week’s ISC conference — one of world’s largest high-performance computing events — drawing this year over 2,800 attendees from 56 countries. Let me share with you a few exciting HPC trends observed during this conference.
Increasingly, we’re hearing from ANSYS customers who are interested in running simulation on the cloud. Along with enthusiasm for elastic capacity, we also hear a lot of questions about feasibility. One set of these questions centers around the challenge of moving big simulation datasets between the end-user desktop and the cloud computing engine. Our response has been “don’t move the data, analyze it on the cloud”. And that leads to the next question: “Can I run ANSYS on the cloud, and still maintain good interactive GUI and graphics performance?” Continue reading →