Each year the cloud faithful converge on Las Vegas in the fall for AWS re:Invent. This year’s event delivered exciting announcements for ANSYS users interested in performing engineering simulation on the AWS cloud.
With well over 30,000 attendees, the 2016 conference was too big to be contained within the expansive Venetian hotel/Sands expo complex and it spilled across into adjacent facilities (comfortable shoes were a requirement). Wednesday’s keynote session by Andy Jassy, CEO and Thursday’s session by Werner Vogels, CTO highlighted the growing reach of AWS. The conference featured a staggering number of new features, services and some powerful new hardware. 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
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
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