Showing posts with label racing. Show all posts
Showing posts with label racing. Show all posts

Wednesday, August 07, 2019

How Rapid Machine Learning Accelerates Venturi Formula E Team Racing to a Top-Efficiency Strategy

https://www.venturi.com/

A discussion on how data-driven technology and innovation are making electric racing cars an example for all endeavors where limits are tested and bested.

Listen to the podcast. Find it on iTunes. Download the transcript. Sponsor: Hewlett Packard Enterprise.

Dana Gardner: Hello, and welcome to the next edition of the BriefingsDirect Voice of the Customer podcast series. I’m Dana Gardner, Principal Analyst at Interarbor Solutions, your host and moderator for this ongoing discussion on digital transformation success stories.

Gardner
Our next advanced automobile racing technology innovation discussion explores the Formula E racing sport. We will now learn how data-driven technology and innovation are making high-performance electric cars an example for all endeavors where limits are tested and bested.

To learn more about the latest in data-driven Formula E growth and refinement, please join me in welcoming, Susie Wolff, Team Principal at Venturi Formula E Team in Monaco.

Welcome to the show, Susie.

Susie Wolff: Thank you for having me.

Gardner: Aside from providing a great viewing and fan experience, what are the primary motivators for Formula E racing? Why did it start at all?

Race on down to Electric Avenue 

Wolff: It’s a really interesting story, because Formula E is like a startup. We are only in our fifth season, and Formula E and the management of Formula E disrupted the world of motorsport because it brought to the table a new concept of growing racing.

Wolff
We race in city centers. That means that the tracks are built up just for one-day events, right in the heart of some of the most iconic capitals throughout the world. Because it’s built up within a city center and it’s usually only a one-day event, you get very limited track time, which is quite unusual in motorsport. In the morning we get up, we test, we go straight into qualifying, and then we race.

Yet, it’s attracting a new audience because people don’t need to travel to a race circuit. They don’t need to buy an expensive ticket. The race comes to the people, as opposed to the people going out to see racing.

Obviously, the technology is something completely new for people. There is very little noise, mostly you hear the whooshing of the cars going past. It’s a showcase for new technologies, which we are all going to see appearing on the road in the next three to five years.


The automotive industry is going through a massive change with electric mobility and motorsport is following suit with Formula E.

We already see some of the applications on the roads, and I think that will increase year on year. What motorsport is so good at is testing and showcasing the very latest technology.

Gardner: I was going to ask you about the noise because I had the privilege and joy of watching a Formula One event in Monaco years ago, and the noise was a big part of it. Aside from these cars being so quiet, what is also different in terms of an electric Formula E race compared to traditional Formula One?

https://www.venturi.com/

Wolff: The noise is the biggest factor, and that takes a bit of getting used to. It’s the roaring of the engines that creates emotion and passion. Obviously, in the Formula E cars you are missing any kind of noise.

Even the cars we are starting to drive on the roads now have a little electric start and every time I switch it on I think, “Oh, the car is not working, I have a problem.” I forget that there is no noise when you switch an electric car on.

Also, in Formula E, the way that technology is developing and how quickly it’s developing is very clear through the racing. Last season, the drivers had two cars and they had to switch cars in the middle of the race because the battery wouldn’t last long enough for a complete race distance. Now, because the battery technology has advanced so quickly, we are doing one race with one car and one battery. So I think that’s really the beauty of what Formula E is. It’s showcasing this new technology and electric mobility. Add to this the incredible racing and the excitement that brings, and you have a really enticing offering.

Gardner: Please tell us about Venturi, as a startup, and how you became Team Principal. You have been involved with racing for quite some time.

A new way to manage a driving career

Wolff: Yes, my background is predominately in racing. I started racing cars when I was only eight years old, and I made it through the ranks as a racing driver, all the way to becoming a test driver in Formula One.

Then I stepped away and decided to do something completely different and started a second career. I was pretty sure it wouldn’t be in motorsport, because my husband, Toto Wolff, works in motorsport. I didn’t want to work for him and didn’t want to work against him, so I was very much looking for a different challenge and then Venturi came along.

The President of Venturi, a great gentleman, Gildo Pastor, is a pioneer in electric mobility. He was one of the first to see the possibility of using batteries in cars, and he set a number of land speed records -- all electric. He joined Formula E from the very beginning, realizing the potential it had.

https://www.venturi.com/
The team is based in Monaco, which is a very small principality, but one with a very rich history in racing because of the Grand Prix. Gildo had approached me previously when I was still racing to drive for his team in Formula E. I was one of the cynics, not sure Formula E was going to be for the long-term. So I said, “Thank you, but no thank you.”

But then he contacted me last year and said, “Look, I think we should work together. I think you will be fantastic running the team.” We very quickly found a great way to work together, and for me, it was just the perfect challenge. It’s a new form of racing, it’s breaking new ground and it’s at such an exciting stage of development. So, it was the perfect step for me into the business and management side of motorsports.

Gardner: For me, the noise difference is not much of an issue because the geek factor gets me jazzed about automobiles, and I don’t think I am alone in that. I love the technology. I love the idea of the tiny refinements that improve things and that interaction between the best of what people can do and what machines can do.

Tell us about your geek factor. What is new and fascinating for you about Formula E cars? What’s different from the refinement process that goes on with traditional motorsport and the new electric version?

The software challenge 

Wolff: It’s a massively different challenge than what we are used to within traditional forms of motorsport.

The new concept behind Formula E has functioned really well. Just this season, for example, we had eight races with eight different winners. In other categories, for example in Formula One, you just don’t get that. There is only the possibility for three teams to win a race, whereas in Formula E, the competition is very different.

Also, as a team, we don’t build the cars from scratch. A Formula One team would be responsible for the design and build of their whole car. In Formula E, 80 percent of the car is standardized. So every team receives the same car up to that 80 percent. The last part is the power train, the rear suspension, and some of the rear-end design of the car.

https://www.venturi.com/
The big challenge within Formula E then, is in the software. It’s ultimately a software race: Who can develop, upgrade, and react quickly enough on the software side. And obviously, as soon as you deal with software, you are dealing with a lot of data.

That’s one of the biggest challenges in Formula E -- it’s predominantly a software race as opposed to a hardware race. If it’s hardware, it’s set at the beginning of the season, it’s homologated, and it can’t be changed.

In Formula E, the performance differentiators are the software and how quickly you can analyze, use, and redevelop your data to enable you to find the weak points and correct them quickly enough to bring to the on-track performance.

Gardner: It’s fascinating to me that this could be the ultimate software development challenge, because the 80/20 rule applies to a lot of other software development, too. The first 80 percent can be fairly straightforward and modular; it’s the last 20 percent that can make or break an endeavor.

Tell us about the real-time aspects. Are you refining the software during the race day? How does that possibly happen?

Winning: When preparation meets data 

Wolff: Well, the preparation work is a big part of a race performance. We have a simulator based back at our factory in Monaco. That’s where the bulk of the preparation work is done. Because we are dealing with only a one-day event, it means we have to get everything crammed into an eight-hour window, which leaves us very little time between stations to analyze and use the data.


The bulk of the preparation work is done in the simulator back at the factory. Each driver does between four to six days in a simulator preparing for a race. That’s where we do all of the coding and try to find the most efficient ways to get from the start to the finish of the race. That’s where we do the bulk of the analytical work.

When we arrive at the actual race, we are just doing the very fine tweaks because the race day is so compact. It means that you need to be really efficient. You need to minimize the errors and maximize the opportunities, and that’s something that is hugely challenging.

https://www.hpe.com/us/en/home.html
If you had a team of 200 engineers, it would be doable. But in Formula E, the regulations limit you to 20 people on your technical team on a race day. So that means that efficiency is of the utmost importance to get the best performance.

Gardner: I’m sure in the simulation and modeling phase you leverage high-performance computing (HPC) and other data technologies. But I’m particularly curious about that real-time aspect, with a limit of 20 people and the ability to still make some tweaks. How did you solve the data issues in a real-time, intensive, human-factor-limited environment like that?

Wolff: First of all, it’s about getting the right people on-board and being able to work with the right people to make sure that we have the knowhow on the team. The data is real-time, so in a race situation we are aware if there is a problem starting to arise in the car. It’s very much up to the driver to control that themselves, from within the car, because they have a lot of the controls. The very important data numbers are on their steering wheel.

They have the ability to change settings within the car -- and that’s also what makes it massively challenging for the driver. This is not just about how fast you can go, it’s also how much extra capacity you have to manage in your car and your battery -- to make sure that you are being efficient.
The data is utmost in importance for how it's created and then how quickly it can be analyzed and used to help performance. That's something HPE has been a huge benefit for us for. ... We can apply that ability to crunch the numbers more quickly.

The data is utmost in importance for how it’s created and then how quickly it can be analyzed and used to help performance. That’s something that Hewlett Packard Enterprise (HPE) has been a huge benefit to us for. First of all, HPE has been able to increase the speed at which we can send data from factory to race track, between engineers. That technology has also increased the level of our simulator and what it’s able to crunch through in the preparation work.

And that was just the start. We are now looking at all the different areas where we can apply that ability to crunch the numbers more quickly. It allows us to look at every different aspect, and it will all come down to those marginal gains in the end.

Gardner: Given that this is a team sport on many levels, you are therefore working with a number of technology partners. What do you look for in a technology partner?

Partner for performance 

Wolff: In motorsport, you very quickly realize if you are doing a good job or not. Every second weekend you go racing, and the results are shown on the track. It’s brutal because if you are at the top step of the podium, you have done a great job. If you are at the end, you need to do a better job. That’s a reality check we get every time we go racing.

For us to be the best, we need to work with the best. We’re obviously very keen to always work with the best-in-field, but also with companies able to identify the exact needs we have and build a product or a package that helps us. Within motorsports, it’s very specific. It’s not like a normal IT company or a normal business where you can plug-and-play. We need to redefine what we can do, and what will bring added performance.

We need to work with companies that are agile. Ideally they have experience within motorsports. They know what you need, and they are able to deliver. They know what’s not needed in motorsports because everything is very time sensitive. We need to make sure we are working on the areas that bring performance -- and not wasting resources and time in areas that ultimately are not going to help our track performance.

Gardner: A lot of times with motorsports it’s about eking out the most performance and the highest numbers when it comes to variables like skidpad and the amounts of friction versus acceleration. But I can see that Formula E is more about the interplay between the driver, the performance, and the electrical systems efficiency.

https://www.venturi.com/

Is there something we can learn from Formula E and apply back to the more general electric automobile industry? It seems to me they are also fighting the battle to make the batteries last longest and make the performance so efficient that every electron is used properly.

Wolff: Absolutely. That’s why we have so many manufacturers in Formula E … the biggest names in the industry, like BMW, Audi, Jaguar and now Mercedes and Porsche. They are all in Formula E because they are all using it as a platform to develop and showcase their technology. And there are huge sums of money being spent within the automotive industry now because there is such a race on to get the right technology in the next generation of electric cars. The technology is advancing so quickly. The beauty of Formula E is that we are at the very pinnacle of that.

We are purely performance-based and it means that those race cars and power trains need to be the most efficient, and the quickest. All of the technology and everything that’s learned from the manufacturers doing Formula E eventually filters back into the organizations. It helps them to understand where they can improve and what the main challenges are for their electrification and electric mobility in the end.

Gardner: There is also an auspicious timing element here. You are pursuing the refinement and optimization of electric motorsports at the same time that artificial intelligence (AI) and machine learning (ML) technologies are becoming more pervasive, more accessible, and brought right to the very edge … such as on a steering wheel.

Is there an opportunity for you to also highlight the use of such intelligence technologies? Will data analytics start to infer what should be happening next, rather than just people analyzing data? Is there a new chapter, if you will, in how AI can come to bear on your quest for the Formula E best?

AI accelerates data 

Wolff: A new chapter is just beginning. Certainly, in some of the conversations we’ve had with our partners -- and particularly with HPE -- it’s like opening up a treasure chest, because the one thing we are very good at in motorsports is generating lots of data.

The one thing that we are clear at, and it’s purely down to manpower and time and resource, is the analyzing of data. There is only so much that we have capacity for. And with AI there are a couple of examples that I wouldn’t even want to share because I wouldn’t want my competitors to know what’s possible.

https://www.hpe.com/us/en/home.html
There are a couple of examples where we have seen that AI can constitute the numbers in a matter of seconds and spit out the results. I can’t even comprehend how long it would take us to get to those numbers otherwise. It’s a clear example of how much AI is going to accelerate our learning on the data side, and, particularly, because it’s software, there’s so much analyzing of the data needed to bring new levels of performance. For us it’s going to be game changer and we are only at the start.

It’s incredibly exciting but also so important to make sure that we are getting it right. There is so much possibility that if we don’t get it right, there could be big areas that we could end up losing on.

Gardner: Perhaps soon, race spectators will not only be watching the cars and how fast they are going. Perhaps there will be a dashboard that provides views of the AI environment’s performance, too. It could be a whole new type of viewer experience -- when you’re looking at what the AI can do as well as the car. Whoever thought that AI would be a spectator sport?

Wolff: It’s true and it’s not far away. It’s very exciting to think that that could be coming.

Gardner: I’ll be watching. I am afraid we will have to leave it there. We have been discussing how data-driven technology and innovation are making Formula E racing an example for all endeavors where limits are tested and bested.

Please join me in thanking our guest, Susie Wolff, Team Principal at Venturi Formula E based in Monaco. Thank you so much, Susie.

Wolff: Thank you very much.


Gardner: And a big thank you as well to our audience for joining this BriefingsDirect Voice of the Customer digital transformation success story. I’m Dana Gardner, Principal Analyst at Interarbor Solutions, your host for this ongoing series of Hewlett Packard Enterprise-sponsored interviews.

Thanks again for listening, please pass this along to your IT community, and do come back next time.

Listen to the podcast. Find it on iTunes. Download the transcript. Sponsor: Hewlett Packard Enterprise.

A discussion on how data-driven technology and innovation are making electric cars an example for all endeavors where limits are tested and bested. Copyright Interarbor Solutions, LLC, 2005-2019. All rights reserved.

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Wednesday, March 27, 2019

How HPC Supports the 'Continuous Integration of New Ideas' for Optimizing Formula 1 Car Design

https://en.wikipedia.org/wiki/Alfa_Romeo_Racing_C38

Transcript of a discussion on how the redesign of Formula 1 race cars relies on high-performance computing and innovative data center advances to coax out the best in fluid dynamics refinement.

Listen to the podcast. Find it on iTunes. Download the transcript. Sponsor: Hewlett Packard Enterprise.

Dana Gardner: Hello, and welcome to the next edition of the BriefingsDirect Voice of the Customer podcast series. I’m Dana Gardner, Principal Analyst at Interarbor Solutions, your host and moderator for this ongoing discussion on digital transformation success stories.

Gardner
Our next extreme use-case for high-performance computing (HPC) examines how the strictly governed redesign of Formula 1 race cars relies on data center innovation to coax out the best in fluid dynamics analysis and refinement.

We’ll now hear how Alfa Romeo Racing (formerly Alfa Romeo Sauber F1 Team) in Hinwil, Switzerland leverages the latest in IT to bring hard-to-find but momentous design improvements -- from simulation, to wind tunnel, to test track, and ultimately, to victory. The goal: To produce cars that are glued to the asphalt and best slice through the air.

Here to describe the challenges and solutions from the compute-intensive design of Formula 1 cars is Francesco Del Citto, Head of Computational Fluid Dynamics Methodology for Alfa Romeo Racing. Welcome, Francesco.


Del Citto: Hello and thank you.

Gardner: We are also here with Peter Widmer, Worldwide Category Manager for Moonshot/Edgeline and Internet of Things (IoT) at Hewlett Packard Enterprise (HPE). Welcome, Peter.

Widmer: Thank you.

Gardner: Why does Alfa Romeo Racing need to prepare for another car design again?

Del Citto
Del Citto: Effectively, it’s a continuous design process. We never stop, especially on the aerodynamic side. And what every Formula 1 team does is dictated by each race season and by the specific planning and concept of your car in terms of performance.

For Formula 1 racing, the most important and discriminating factor in terms of performance is aerodynamics. Every Formula 1 team puts a lot of effort in designing the aerodynamic shape of their cars. That includes for brake cooling, engine cooling, and everything else. So all the airflow around and inside of the car is meticulously simulated to extract the maximum performance.

Gardner: This therefore becomes as much an engineering competition as it is a racing competition.

Engineered to race

Del Citto: Actually, it’s both. On the track, it’s clearly a racing competition between drivers and teams. But before you ever get to the track, it is an engineering competition in which the engineers both design the cars as well as the methods used to design the cars. Each Formula 1 team has its own closely guarded methodologies and processes – and they are each unique.

Gardner: When I first heard about fluid dynamics and aerodynamic optimization for cars, I was thinking primarily about reduction of friction. But this is about a lot more, such as the cooling but also making the car behave like a reverse airplane wing.

Tell us why the aerodynamic impacts are much more complicated than people might have appreciated.

Del Citto: It is very complicated. Most of the speed and lap-time reductions you gain are not on the straightaways. You gain over your competitors in how the car behaves in the corners. If you can increase the force of the air acting on the car -- to push the car down onto the ground -- then you have more force preventing the car from moving out of line in the corners.

Why use the force of the air? Because it is free. It doesn’t come with any extra weight. But it is difficult to gain such extra inertial control forces. You must generate them in an efficient way, without being penalized too much from friction.
Learn How High-Density HPC
Doubles Throughput
While Slashing Energy Use
It’s also difficult to generate such forces without breaking the rules, because there are rules. There are limits for designing the shapes of the car. You cannot do whatever you want. Still, within these rules, you have to try to extract the maximum benefits.

The force the car generates is called downforce, which is the opposite of lift force from the design of an airplane. The airplane has wings designed to lift. The racing car is designed to be pushed down to the ground. The more you can push to the ground, the more grip you have between the tires and the asphalt and the faster you can go in the corners before the friction gives up and you just slide.

Gardner: And how fast do these cars go nowadays?

Del Citto: They are very fast on the straight, around 360-370 km/hour (224-230 mph), especially in Mexico City, where the air is thin due to the altitude. You have less resistance and they have a very long straight there, so this is where you get the maximum speeds.

But what is really impressive is the corner speed. In the corners you can now have a side acceleration force that is four to five times the force of gravity. It’s like being in a jet fighter plane. It’s really, really high.

Widmer
Widmer: They wear their security belts not only to hold them in in case of an accident, but also for when they brake and steer. Otherwise, they could be catapulted out of the car because the forces are close to 5G. The efficiency of the car is really impressive, not only from the acceleration or high speeds. The other invisible forces also differentiate a Formula 1 car from a street car.

Gardner: Peter, because this is an engineering competition, we know the simulations result in impactful improvements. And that then falls back on the performance of the data center and its level of innovation. Why is the high-performance computing environment such an essential part of the Formula 1 team?

Widmer: Finding tens of thousands of a second on the racetrack, where a lap time can be one minute or less, pushes the design of the cars to the extreme edge. To find that best design solution requires computer-aided design (CAD) guidance -- and that’s where the data center plays an important part.

Those computational fluid dynamics (CFD) simulations take place in the data center. That’s why we are so happy to work together with Alfa Romeo Racing as a technology partner.

Gardner: Francesco, do you have constraints on what you can do with the computers as well as what you can do with the cars?

Limits to compute for cars

Del Citto: Yes, there are limits in all aspect of the car, design, and especially in the aerodynamic research. That’s because aerodynamics is where you can extract more performance -- but it’s where you can spend more money as well.

The Formula 1 governing body, the FIA, a few years ago put in place ways of controlling the money spent for aerodynamic research. So instead of putting on a budget cap, they decided to put a limit on the resources you can use. The resources are both the wind tunnel and the computational fluid dynamics. It’s a tradeoff between the two. The more wind tunnel you use, the less computational power you can use, and vice versa. So each team has its sweet spot, depending on their strategy.

You have restrictions in how much computational capacity you can use to solve your simulations. You can do a lot of post-processing and pre-processing, but you cannot extract too much from that. The solving part, in which it tells you the performance results of the new car design, is what is limited.

Gardner: Peter, how does that translate into an HPE HPC equation? How do you continuously innovate to get the most from the data center, but without breaking the rules?

Widmer: We work with a competency center on the HPC to determine the right combination of CPU, throughput, and whatever it takes to get the end results, which are limited by the regulations.

We are very open on the platform requirements for not only Alfa Romeo Racing, but for all of the teams, and that’s based on the most efficient combination of CPU, memory, networking, and other infrastructure so that we can offer the CFD use-case.
Learn How High-Density HPC
Doubles Throughput
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It takes know-how about how to tune the CPUs, about the specifics of the CFD applications, and knowledge of the regulations formula which then leads us to get that success in CFD for Formula 1.

Gardner: Let’s hear more about that recipe for success.

Memory makes the difference

Widmer: It’s an Intel Skylake CPU, which includes graphic cards onboard. That obviously is not used for the CFD use-case, but the memory we do use as a level-four memory cache. That then provides us extra performance, which is not coming from the CPU, which is regulated. Due to the high-density packaging of the HPE Moonshot solution -- where we can put 45 compute notes in a 4.30 rack chassis -- this is quite compact. And it’s just topped out at about 5,000-plus cores.

Del Citto: Yes, 5,760 cores. As Peter was saying before, the key factor here is the software. There are three main CFD software applications used by all the Formula 1 teams.

The main limitation for this kind of software is always the memory bandwidth, not the computational power. It’s not about the clock speed frequency. The main limitation is the memory bandwidth. This is why the four-level cache gives the extra performance, even compared to a higher spec Intel server CPU. The lower spec with low energy use CPU version gives us the extra performance we need because of the extra memory cache.

Gardner: And this isn’t some workload you can get off of a public cloud. You need to have this on-premises?

https://www.youtube.com/watch?v=yGHDRpt-9Js
Del Citto: That’s right. The HPC facility is completely owned and run by us for the Formula 1 team. It’s used for research and even for track analysis data. We use it for multiple purposes, but it’s fully dedicated to the team.

It is not in the cloud. We have designed a building where we have a lot of electricity and cooling capacity requirements. Consider that the wind tunnel fan -- only the fan – uses 3 megawatts. We need to have a lot of electricity there.

Gardner: Do you use the wind tunnel to cool the data center?

Del Citto: Sort of. We use the same water to cool the wind tunnel and the data center. But the wind tunnel has to be cooled because you need the air at a constant temperature to have consistent tests.

Gardner: And Peter, this configuration that HPE has put together isn’t just a one-off. You’re providing the basic Moonshot design for other Formula 1 teams as well?

A winning platform

Widmer: Yes, the solution and fit-for-regulations design was so compelling that we managed to get 6 out of 10 teams to use the platform. We can say that at least the first three teams are on our customer list. Maybe the other ones will come to us as well, but who knows?

We are proud that we can deliver a platform to a sport known for such heavy competition and that is very technology-oriented. It’s not comparable to any other sport because you must consistently evolve, develop, and build new stuff. The evolution never stops in Formula 1 racing.

For a vendor like HPE, it’s really a very nice environment. If they have a new idea that can give a team a small competitive advantage, we can help them do it. And that’s been the case for 10 years now.

Let’s figure out how much faster we can go, and then let’s go for it. These teams are literally open-minded to new solutions, and they are eager to learn about what’s coming down the street in technology and how could we get some benefits out of it. So that’s really the nice story around it.
These teams are literally open-minded to new solutions, and they are eager to learn about what's coming down the street in technology and how they could get benefits out of it. That's the nice story around it.

Gardner: Francesco, you mentioned this is a continuous journey. You are always looking for new improvements, and always redesigning.

Now that you have a sophisticated HPC environment for CFD and simulations, what about taking advantage of HPC data center for data analysis? For using artificial intelligence (AI) and machine learning (ML)?

Is that the next stage you can go to with these powerful applications? Do you further combine the data analysis and CFD to push the performance needle even further?

Del Citto: We generate tons of data -- from experiments, the wind tunnel, the CFD side, and from the track. The cars are full of sensors. During a practice run, there are hundreds of pressure sensors around the car. In the wind tunnel, there are 700 sensors constantly running. So, as you can imagine, we have accumulated a lot of data.

Now, the natural step will be how we can use it. Yes, this is something everyone is considering. I don’t know where this will bring us. There is nothing else I can comment on at the moment.

Gardner: If they can put rules around the extent to which you can use a data center for AI, for example, it could be very powerful.

Del Citto: It could be very powerful, yes. You are suggesting something to the rule-makers now. Obviously, we have to work with what we have now and see what will come next. We don’t know yet, but this is something we are keeping our eyes on, yes.
Learn How High-Density HPC
Doubles Throughput
While Slashing Energy Use
Gardner: Good luck on your redesign for the 2019 season of Formula 1 racing, which begins in March 2019.

Widmer: Thanks a lot.

Gardner: I’m afraid we’ll have to leave it there. We have been exploring how the strictly governed redesign of Formula 1 race cars relies on data center innovation to coax out the best in fluid dynamics innovation. And we’ve learned how the latest in HPC brings about small but momentous design improvements -- from simulation, to wind tunnel, to test track, and then ultimately on to victory.

Please join me in thanking our guests, Francesco Del Citto, Head of CFD Methodology for Alfa Romeo Racing in Hinwil, Switzerland. Thank you.

Del Citto: Thank you, very much.

Gardner: We have also been here with Peter Widmer, Worldwide Category Manager for Moonshot/Edgeline and IoT at HPE. Thank you, Peter.

Widmer: Thanks a lot.


Gardner: And a big thank you as well to our audience for joining this BriefingsDirect Voice of the Customer digital transformation success story. I’m Dana Gardner, Principal Analyst at Interarbor Solutions, your host for this ongoing series of Hewlett Packard Enterprise-sponsored interviews.

Thanks again for listening. Please pass this on to your IT community, and do come back next time.

Listen to the podcast. Find it on iTunes. Download the transcript. Sponsor: Hewlett Packard Enterprise.

Transcript of a discussion on how the redesign of Formula 1 race cars relies on high-performance computing and innovative data center advances to coax out the best in fluid dynamics innovation. Copyright Interarbor Solutions, LLC, 2005-2019. All rights reserved.

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