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.
Well, now that piece is in place. Last week’s release of ANSYS Enterprise Cloud adds support for ANSYS Elastic Licensing™, enabling you to fully leverage the pay-per-use business model on the public cloud for both hardware and software. Continue reading
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
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.
For the past few weeks, the ANSYS blog has published many posts and ANSYS has held a number of webinars describing the advantages that ANSYS 17.0 provides for turbomachinery simulation. In the following, I will review these events and provide my summary of 10 (out of many more) exciting developments:
- A focus on HPC delivers significant speedups and ability to handle larger models, for both CFD and mechanical simulation.
- A new mechanical model simulates journal bearings, additionally providing important inputs of stiffness and damping for rotordynamics simulation.
- Fracture analysis is faster and easier with arbitrary crack surface definition and post-processing.
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