To get the most value out of engineering simulation, ANSYS customers often take advantage of high performance computing (HPC). In simple terms, HPC enables you to apply a group of computers running in parallel to solve larger problems and/or reduce the solution time for a given problem. Unlike “embarrassingly parallel” applications like genomics or graphics rendering, all of the compute cores involved in a single Computational fluid dynamics (CFD) simulation need to communicate with each other during the solution process. That places significant demands on the network fabric used to connect the machines. Cloud computing can certainly provide computing capacity at a vast, global scale, but can it provide the desired HPC performance? Continue reading
Are you considering moving to a cloud solution for your engineering simulation needs? The chances are that it’s your hunger for high-performance computing (HPC) that’s making you consider the cloud. While the cloud can deliver computing infrastructure on an unprecedented scale, but by focusing exclusively on CPU cycles, you might be failing to consider some other significant benefits. An engineered cloud solution like ANSYS Enterprise Cloud can put your organization on the fast track to using a mature, enterprise-grade engineering simulation environment that rivals those used on premise by industry leaders who have worked closely with technology providers and pioneered the use of simulation to deliver world-leading products. 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
Do you routinely tackle mechanical simulations in the field of linear dynamics? Are you unhappy with your simulation times? If you answered yes to both of these questions then keep on reading. ANSYS Mechanical 17.0 has many exciting new features — far too many to cover here. This post focuses on only one of these new features: the improved performance for linear dynamics simulations in Distributed ANSYS. 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.
While considering a switch to the cloud, many of you may wonder how ANSYS licensing will work there, and more in particular, when and how we will support a pay-per-use model. I have very good news for you. Along with your existing licenses, you can use our newly announced ANSYS Elastic LicensingTM. This is a new pay-per-use licensing model unlocking virtually every ANSYS product that is supported on cloud-hosting partner hardware. Continue reading
A quick look back at AWS re:Invent 2015
Credit for the title belongs to Pam Murphy, COO of Infor, who delivered this gem in the keynote session of the Global Partner Summit at Amazon Web Services (AWS) re:Invent 2015 conference, held in Las Vegas from Oct. 6-9. If you had any doubts that cloud computing is gaining steam (apologies for mixing water vapor metaphors) attending this event would have ended them. Over 18,000 attendees were at the main conference and about 4,000 attended the Partner Summit (ANSYS is an AWS Advanced Technology Partner). Continue reading
While reading “Out of Our Minds” by Sir Ken Robinson —published in 2003 — one prediction that blew my mind was the possibilities of backing up our brain information. It was not convincing, even considering some forty odd years into the future. I did a Google Search to discover that actually the book quoted a prediction by renowned futurologist Dr. Ian Pearson.
“By about 2040, there will be a backup of our brains in a computer somewhere, so that when you die it won’t be a major career problem.” – Ian Pearson
Based on a recent announcement that ANSYS and Cray has smashed supercomputing records, an editor of a well-known magazine followed up on and asked me whether this achievement might help to compensate the slowdown of Moore’s Law. Although I was able to briefly respond, it was also end of the day and while driving home the question stayed in my head and was the origin of this blog. Continue reading