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.
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
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
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.
Today, we announced our new ANSYS Enterprise Cloud solution, a combined service and software solution designed to help our global accounts move simulation into the public cloud. Based on my own discussions with customers, the solution is well-matched to current trends and business challenges. Let me explain. Continue reading
In a previous blog, I was expressing our privilege of having a strong HPC technology partnership with NVIDIA. Earlier this week, we announced a supercomputing milestone of scaling to 36,000 cores with fluid dynamics simulations being achieved thanks to a strategic partnership with the National Center for Supercomputing Applications (NCSA). Now, you may wonder what the relevance of this achievement is for you when you don’t have access to a supercomputer. Continue reading
In the first part of this two-part post about high-performance computing, I already addressed three commonly-held myths associated with HPC. Now I’ll address three myths that are related to particular concerns about HPC adoption.
Myth #4: “Without internal IT support, HPC cluster adoption is undoable” Continue reading
Looking back at my notes from conversations with many engineers during our recent ANSYS Convergence Conferences, I must admit that I still came across some myths and misconceptions about high-performance computing (HPC) for engineering simulation. Let me share six really striking ones with you:
- HPC is available on supercomputers only
- HPC is only useful for CFD simulations
- I don’t need HPC – my job is running fast enough
- Without internal IT support, HPC cluster adoption is undoable
- Parallel scalability is all about the same, right?
- HPC software and hardware are relative expensive