This interview was translated and adapted from an interview appearing in “CAD & Graphics,” a South Korean magazine. Original article was written by reporter Park Kyongsu and is available here

LSIS is interested in building a universal high-performance computing (HPC) cloud-based CAE platform. LSIS is introducing a CAE cloud service provided by Rescale, a cloud HPC service company, to lead a revolution in existing production methods. Rescale offers a variety of HPC services such as engineering design, scientific calculations, machine learning, and on-demand cloud HPC services that add scalability and security reliability in a cost-effective way. I met with CEO Joris Poort, who visited LSIS recently, and Yoo Sung-Ryul, a senior researcher at LSIS Research Center.

Rescale CEO Joris Poort and LSIS Senior Researcher Yoo Sung-yeol

Rescale CEO, Joris Poort CEO & LSIS Senior Researcher, Yoo Sung-Ryul

LSIS needed an HPC solution for CAE and CAD.

Yoo Sung-Ryul: LSIS created an organization called C2 in the second half of 2015, whose ongoing mission is to build an effective and reliable system to support CAE and CAD. The goal is to build a system for our in-house engineers to use anytime, anywhere without any limitations.

However, the cost of building a private HPC platform was more than 5 million USD, which was cost-prohibitive. The cost of building an HPC data center was so high that it made a lot of sense to move to the public cloud.

In the first half of 2016, we were introduced to Rescale through a meeting with Amazon Web Services (AWS), and are now building a platform for CAE simulation work in the cloud with Rescale.

How does Rescale’s CAE cloud platform compare to an on-premise system?

Rescale provides an on-demand, pay-per-use service for hardware and software. On the Rescale platform, CAE jobs can be run on a web-based GUI that requires only a few easy step-by-step clicks to complete. And it can also handle pre-processing and post-processing in the cloud.

Rescale supports a wide variety of software, which allows us to choose the right software for our business requirements. We can also configure our hardware by utilizing data centers around the world, and we can use as many cores as we want.

I think paying for software and hardware by actual usage is very effective. Multi-physics simulation, which requires very large models, is also very easy to run on Rescale’s platform. I expect this will shorten product development schedules and greatly improve the quality of our products.

Did you consider other CAE cloud platforms?

LSIS compared Infrastructure-as-a-Service (IaaS) providers AWS and Microsoft Azure for one year. Our main concern was whether we could use CAE software – like ANSYS, STAR-CCM+, and Abaqus – effectively on the cloud. To do so with AWS and Azure, we would have needed to invest a lot of time and money to install the software on their infrastructure ourselves.

Not many companies offer HPC platform services in the cloud like Rescale. There is a company called SimScale in Europe, which has a more limited software list and is less user-friendly. And they don’t have a branch office or partner in Korea. These factors led us to choose Rescale.

Yoo Sung-yeol photo

LSIS Senior Researcher, Yoo Sung-Ryul

What concerns did LSIS have when considering the CAE cloud?

The user experience on cloud-based operating systems is very different from that on local PCs. However, I think that companies need to change and innovate in order to stay ahead of the competition. Typically, companies like us have to make large investments in software and hardware. But if you run your software on the cloud, you can save a lot of money in upfront capital investments.

The cloud environment is a big deal, but is there a burden on security or user experience?

We are approaching the adoption of Rescale step-by-step. The system will be operated as a pilot project in the first half of this year, and by the second half every CAE engineer will be using it. We expect both CAD and CAE engineers to be using Rescale’s platform starting next year.

From the perspective of the company, we had to monitor very detailed levels of CAE usage and overcome some internal resistance to introduce Rescale. But we can dramatically reduce our costs and shorten product development time. I think overall, the benefits of using a cloud service far outweigh the costs.

LSIS’ future plans

As we mentioned earlier, the cost of establishing an IT infrastructure is an enormous part of a company’s investment, and it will be very cost-effective for us to convert the capital cost of building an IT infrastructure into operating expenditures.

We are currently conducting final testing on the CAE cloud platform. We are examining various aspects in terms of cost and user experience. Based on our success with running CAE software in the cloud, we plan to support CAD and PLM on the cloud in the future.

Screenshot

Rescale GUI: software selection page

Screenshot

Running ANSYS through Rescale in-browser desktop visualization

Rescale Platform image

Cloud Computing HPC Simulation Platform

This article was written by Rescale.

How does a large automotive manufacturer leverage the elasticity of the cloud, and what do they look for in a provider?

To find out, we asked a CAE manager at American Axle & Manufacturing, a Tier 1 automotive supplier of driveline and drivetrain systems that operates in 13 countries globally with annual revenues of $3.9 billion. Read below for his take on how Rescale has added value to his organization.

Rescale:  Alexy, can you start off by introducing yourself and American Axle & Manufacturing?

Alexy: My name is Alexy Kolesnikov. I manage computational fluid dynamics and thermal projects for American Axle & Manufacturing. American Axle & Manufacturing is a leading global Tier 1 automotive supplier. Our clients are all the major automotive companies. We supply driveline and drivetrain systems, for example front axles, rear axles, PTUs, and eDrive units.

Rescale: Tell us more about your role.

Alexy: I work in a CAE department, and we simulate all these components. In our products, we simulate oil flows, heating and cooling, those kinds of things. Simulation is like a design tool; instead of testing any given product 20 times and ordering parts, you pick an advanced optimizer to run simulations.

Rescale: Can you describe your simulation needs and the computing environment that you were operating with before you started using Rescale?

“What Rescale provides is essentially the on-demand capability to scale up your hardware resources almost infinitely. You can do large numbers of runs in parallel in a very limited number of days. That’s what Rescale gives us.”

– Alexy Kolesnikov, Manager CFD & Thermal Analytical Engineering

Alexy:  We use computational fluid dynamics to simulate the lubrication process. We want to optimize the way oil goes onto bearings or gears inside our products. These simulations are fairly complex. It’s fairly hard to simulate how oil is going to move. Because it is a multi-phased problem, high-fidelity, accurate simulation requires significant computing resources. Usually our jobs, our runs, our models require anywhere between 32 to 150 cores to run, which dictates the size of the server you need. Before Rescale, we had a single server with 64 cores.

Rescale: What were the pain points that led you to consider Rescale or another cloud HPC solution?

Alexy: Well, it was the scalability of hardware requirement. For us to optimize a specific axle, be it a front axle or an eDrive unit, we need to conduct several runs. (By runs, I mean different angles of inclination of a moving car, for example, or an SUV driving at different speeds.) You need to look at a number of these conditions, which dictate how the oil moves. Depending on how soon you need an answer, you might want to run a number of these jobs simultaneously, instead of waiting to run them one by one. What Rescale provides is essentially the on-demand capability to scale up your hardware resources almost infinitely. You can do large numbers of runs in parallel in a very limited number of days. That’s what Rescale gives us.

Rescale: Did you consider other cloud HPC solutions, and if so why did you choose Rescale?

“Rescale has an established relationship with CD-adapco, which allows us to use the software licenses provided by CD-adapco efficiently in conjunction with the hardware provided by Rescale. It’s called the Power-on-Demand license. We only utilize it when we have to run a large number of projects, and we are not billed when we are not running. That was a very efficient way for us to use our software and hardware resources.”

– Alexy Kolesnikov, Manager CFD & Thermal Analytical Engineering

Alexy: We did. One of the important factors in our decision was the availability of a code from CD-adapco called STAR-CCM+. We use it in-house to model lubrication and a number of other things. Rescale has an established relationship with CD-adapco, which allows us to use the software licenses provided by CD-adapco efficiently in conjunction with the hardware provided by Rescale. It’s called the Power-on-Demand license. We only utilize it when we have to run a large number of projects, and we are not billed when we are not running. That was a very efficient way for us to use our software and hardware resources.

Another thing we like about Rescale is the willingness of your company to install new software. For example, when we wanted to try different software packages that you guys didn’t have, you installed them for us. That kind of willingness to work with a client is pretty impressive.

Rescale: Could you give us an overview of how you use Rescale? Has Rescale changed the way you approach simulation?

Alexy: It has allowed us to efficiently deliver answers to internal or external clients. All clients and all problems and all projects are different. Sometimes you have weeks or months to deliver results, but sometimes all of a sudden an issue comes up and you have to have the answers tomorrow. Rescale gives us the flexibility to satisfy both needs. It fits into the structure of how we run our analysis. For example, we use Rescale anytime we need to run five jobs at the same time to deliver results in two days. We can run them in parallel on Rescale, which would require us otherwise to have five servers in-house. This on-demand scalability enables us to deliver results that are urgently needed.

“Another thing we like about Rescale is the willingness of your company to install new software. For example, when we wanted to try different software packages that you guys didn’t have, you installed them for us. That kind of willingness to work with a client is pretty impressive.”

– Alexy Kolesnikov, Manager CFD & Thermal Analytical Engineering

Rescale: How has using Rescale impacted the business overall?

Alexy: It clearly made CAE simulation way more efficient. It’s hard to estimate the advantage of having the ability to deliver results on-demand. We’ve been using Rescale for a year and a half, and at this point the main advantage is the ability to scale up and scale down. Going forward, we will probably use additional types of software for different types of analyses. But for right now, the main impact is this ability to quickly deliver results when an urgent problem comes up.

Rescale: How do you think you’ll use Rescale in the future?

Alexy: We are considering using Rescale not just for bursting, but also to substitute the in-house server a little bit. As we look forward to determine how many servers we need in-house to run 24/7 jobs, we might consider using Rescale for those jobs, in addition to on-demand, scale-up jobs. We have to look at how much it costs to maintain our server in-house compared to how much it costs to run on the cloud.

Click here for more information on using STAR-CCM+ on Rescale.

Sign up for a free trial to see how Rescale can accelerate your simulations or add complexity to your models.

This article was written by Rescale.