(upbeat music) >> Hello, welcome to theCUBE's presentation of Unstoppable Domains Partner Showcase. I'm John Furrier, host of theCUBE here in Palo Alto. Got some great guests here on this panel to talk about DeFi, the relevance of it, the importance, and all the major things happening in the changing world of finance and decentralized web, which is Web 3. Great wave here going on. We got Jaime Rogozinski, founder of WallStreetBets and strategic advisor of WallStreetBets app. Great to have you on. We've got Michael So, Partner, Head of Business Development, Cook Finance, and Mike Morhulets, CEO of DeHive. Gentlemen, thank you for coming. I'm super excited about this panel conversation here in the Unstoppable Domains Partner Showcase. Thanks for coming on. >> Yeah, thanks for having us on. >> Thanks for having us. >> So, first of all, it's been a crazy ride. Even just go back from... Just go back eight years ago now, and then go to you had the big ICO craze, you had now the operationalizing of crypto, applications, blockchain. I see the price of Bitcoin has been going great. Everyone's been making a lot of money. But it's really about the fundamental change of users and DeFi, decentralized finance has been one of the tip of the spears here from terms of change 'cause money's involved. and that's the shift here. So before we get into it, I want to get you guys to help me define what is DeFi? If someone says, "Hey, what's DeFi?" And everyone wants to know, "What's DeFi? What does it mean?" What is DeFi? >> Well, I think it's still being defined to be quite honest with you, right? Like it stands for decentralized finance, but for the most part, it's figuring out a way to use these crypto coins, tokens assets, Dallas Dap, this, that, the other to try and integrate this worldwide transactional parallel ecosystem to traditional finance, right? So I'd say for the most part, you're able to transact, send money, buy things, invest it, generating interest rates, et cetera. >> So is it a new money system, is it an architecture? How should people think about this 'cause, you know, to me it seems like a whole another stack, if you will, I had to use the word stack, tech stack, but it's really more of a different thing. People still scratch their heads. Does it help me, does it hurt me? How would you explain it to someone who's like saying, "Hey, I got a bank, got my app on my phone." What's the difference? >> Yeah. To me, there are three things that define DeFi. You know, one is the fact that it is non-custodial, meaning there is no counterparties who take hold of your money and decide when they want to release it back to you. You own it, you hold assets, you know, on your own wallet. You know, that's one clear, you know, defining moment of DeFi. Second is the fact that, you know, where the value of transfer happens. And TraFi, traditional finance. You know, you would see how the actual transfer may not even happen, actually outside of a particular location, such as for example, a centralized exchange. However, on DeFi, you can clearly see how the value of transfer happens on chain, on Ethereum, on other lines, you know, on other chain as well. And third and last, you know, to me is how the organizations define what decisions, what setups are to be made within, right? For example, you know, DAO, you know, the centralized autonomous organization, they will actually use the communities to define how things can be decided. So that's one way to see it. >> Yeah. It's interesting. I saw these protocols and the tokens and infrastructure, Mike, there's a complex system going on here. It's the plumbing, right? I mean, it's a money system. You know, how decisions are made, you got communities involved in there, you got actually mechanisms for immutability and security. You got application developers. So you got to kind of think of like an operating system here to make it all work. What's your take on this whole impact of what is DeFi relative to what people see on their phones as just an app or just some finance app. There's a lot of stuff going on under the covers. >> Yeah. I want to totally agree with Michael because it's all about one point of entering to Web 3, yeah? I have just my personal key, and can use all my wallets, get access to my funds from different point in the world. And I just have enter to all these applications, all these huge amount of services and monies. Second general part for me that is all about smart contracts and not intermediate here. Then people want to cooperate on many ways to each other on stable coins, yeah. And this is just smart contract. And one person from another side and another person from other side, that's it. It's all about DeFi ecosystem, you know, into words. >> I mean, this idea of disintermediating the middle man is a huge part of this. I mean, smart contracts is critical to this. You got to have the infrastructure, you got to have the user behavior. This is why it's important. Can you guys weigh in on some of the things on the importance of DeFi and where we are right now relative to progress? Because even just in the past two years, the cultural shift of DeFi has changed a lot. Where are we right now in DeFi? Can you guys share your perspectives on kind of, you know, progress compared to the evolution of where it will go? >> No, I think that DeFi has DeFinitely made a lot of progress with regards to adoption. Not only by retail participants, but also by institutional ones, right? They're warming up the idea of these first stops from Bitcoin or whatever these larger ones that have more proven track record. And they're starting to experiment more and more from taking crypto transactions, et cetera. But from the retail standpoint, it's also made a lot of progress. I'd say the biggest benefit to the DeFi world is community, right? It works because it's decentralized, which means one of the requirements is a lot of participants. But one of the hindrances, which is one of the biggest ones that's kind of been in the way is the usability, which although it's improved a lot, it's still not ready for the mainstream user that's used to just one click, buy it, whatever, don't care to understand how things work. But those two worlds are starting to bridge, right? People getting comfortable, institutions getting comfortable, as well as retail participants not being scared away by the process. >> Yeah. I mean that... I will just ask you to follow up on that Jaime, if you don't mind. Is that that community user piece is huge. A lot of people in the old guard will dismiss things as meme stocks, if you will. You know, we've seen a lot of the traction. But when you have communities moving at massive forces, that's in a way infrastructure, right? So you have behavior changes, whether you got some peer to peer community happening, it can't be dismissed. I mean, yeah, this is my arbitrage and a little bit of a, you know, I won't say crypto vandalism or kind of fun, but at the end of the day, that's a behavior. That is specific change. That points to... It can't be dismissed. What do you guys react to that? What's your reaction to that? >> Right. Actually, at my firm, Cook Finance, we are actually at the forefront of seeing that movement. So at Cook, you know, we label ourselves as compostable finance. And one thing that we've seen is that our communities, consistently we propose very interesting strategies, connecting different DeFi protocols together to basically execute on a portfolio execution that allows them to achieve a certain objectives. And we have to say, you know, if you were to define Web 2 as read and write and Web 3 as read, write, and create, you know, then this is really, you know, where the difference lies. We are now at this point where we are simply providing an infrastructure, as you said before, but allowing, you know, the creativities, you know, from everybody to come together and let the crowd wisdom everywhere, you know, to decide exactly, you know, what should take home from a product perspective. So we're very excited about that. >> Yeah. And these are new protocols that need to built. I mean, what does that mean, right? So how does software adapt to that? This comes into the question, I think, why it can't be dismissed. Jaime, what's your reaction to that? Because you're in the middle of it, you see all these behaviors, and Wall Street certainly is an environment where there's a lot of activity 'cause there's finance all this money there, right? And then again, a lot of that is old money, old systems. Now moving to the new, now, global, et cetera. What's your take? >> Well, I mean, first of all, I don't think that one is going to move over to the other one. I believe there's going to be elements where they coexist, right? Traditional finance still has a lot of merits to it and it has a lot of use of practical applications, but they can feed off of each other. There's a lot of things that DeFi can learn from traditional finance and vice versa. So I think that we're just going to start seeing this convergence of these two different worlds. And I think it's extremely powerful, right? Because the way that you think about sequential and transactional systems that are centralized, right? Like it requires all sorts of mechanisms. For example, I know I'm speaking arbitrary, but like you have a market with an exchange in an order book with limit orders and then you have the guy come in there and push market buy or sell, pushes the price, right? That's the mechanism by which you see something flash on your screen. In the world of DeFi, there's additional mechanisms that have previously been impossible, like automated market makers, right? They don't have order books and there's no counterparty. I mean, there is, but they're distributed. So the risk profile is really different. So like it's just a matter of rethinking and looking at all the advantages and all the benefits that DeFi has to offer. >> I love that whole point there. 'Cause that's basically refactoring existing markets in the new way. And this becomes the next question is, is that okay, if you have like say Unstoppable, where they got this access through an NFT, which is super cool with kind of like an identity, the development environment is really key in all these big ways. Because if you think about what needs to happen next, does you need more software developers or developers in general on this new paradigm, right? So with that in mind, how do you guys see the market of more innovation being developed on top of where we are now? 'cause that's the next key flywheel in this equation, which is, I need simplicity, I got to make ease of use, and reduce the time it takes to do things. And that's just going to come from development. So what's you guys reaction to with the wave coming in from a development standpoint? You mentioned smart contracts earlier, Mike, what do you guys think? >> Yeah. At that moment, I'm thinking about Web 3.0 identity. It's very close to Unstoppable Domains doing, because they're doing that you can connect by your domain to different apps, to different projects and so on. And the next step after that will be Web 3.0 identity. I think there will be some custodial service when you will put your passport or verification service and we will get NFT identifying you. And then with this NFT, you will go to every service which should be identified. For example, tomorrow SEC will create new law that all users for U-Swap should be identifying and you'll use this identity NFT for using this UniSwap. And I think it will be huge amount of works for all Web 3 applications and always that. >> Michael, what is Unstoppable matter? Why does Unstoppable matter to DeFi? What's your take on that? >> Yeah. Yeah. First of all, you know, I have been a big fan of Unstoppable both since day one, you know, from the NFT domain, you know, rollout. But one thing that I'm super excited about Unstoppable is the fact that it provides a digital identity, exactly like what Mike said. And the fact that, you know, you can leverage Unstoppable. And the fact that the digital identity can be use in a different way than where we see the traditional finance data such as owning all your PII, you know, all the personal identifiable informations, you know. The NFT aspect allows, you know, only certain informations to be transferred, but at the same time, allow all the participants in the ecosystem, DeFi or even TraFi institutional alike, you know, to only pick certain pieces such that they can still live within, you know, the existing framework. So I think that really is powerful in a way, it bridges in a way, the existing money or value transfer happens, to a way in the future, how people can use the different infrastructure to perform the very same actions. >> Jaime, what's your take on the Unstoppable position here relative to DeFi? >> Look, I think Unstoppable is in a really great position, right? The whole spirit of DeFi is to removing bottlenecks, right? Removing kind of choke points, which can either be, you know, by some people choose to label that as the government, but I choose to think of it as more as a technological, right? Like you have this distributed naming system and this idea of identifying yourself has uncalculable benefits, right? I don't think we're at the point yet where we can just imagine it. Right now we start off by associating it with, I'm going to sign into a website with my username and password. And this is the new version of that. That doesn't have any huge feel to it, right? But what's under the hood is what actually allows people to do a lot more things such as like being able to port these things across and into connectivity on different websites. And being able to have control over your data, right? Like to actually be able to open up markets for even being able to monetize your own data, right? So that when you sign into a thing, you can just decide what things to share and whatnot. Like there's so many ways that we can't quite yet imagine the use for this, and I think that Unstoppable's in an incredible position to take advantage of that. >> That's awesome insight. That's a great way to talk about it. I mean, you look at distributed naming system, first of all, it really has not been done at large scale. I mean, the traditional naming systems have been centralized. So if you look at that as an enabling platform, I mean, it's limitless possibilities. Again, you start initially with some problems, but there's real technical enablement here. So in the last few minutes, I'd love to pivot on that point, and go, what's possible with this DeFi going forward? Because if you take that premise that you have this enabling system, that people are going to kind of align with defacto and then ultimately maybe standard, what does that enable? 'Cause you're now in a growth mode for the sector. Okay. Which is innovation coders. And when you start seeing protocols start to become defacto, that's a good thing. So let's talk about in the last few minutes, what's next for DeFi? Jaime, will start with you. What's your take on what's next? 'Cause you kind of teed it up. Take us through the... Walk down that path. In hypothetical of course, but you know, let's take a road. >> So, you know, I think that for starters, DeFi gets more powerful the more that people use it, right? So we're going to just start by saying there's going to be more adoption, so this thing is going to be more robust. And more things can actually live on this decentralized platform. One of the biggest benefits of decentralization is its robustness. You think about like the worldwide web, it's really not a web, it's more like just like a pipe of data that's owned by a handful of companies and the internet and the servers that host it and all these different things. We're already starting to see decentralized storage or servers. We're already starting to see decentralized networks, right? So that you're actually able to slowly start reducing those choke points. You're going to have this entire system where the world is interconnected, where people can communicate without these choke points, without being able to worry about censorship. You'll be able to have... The world that's able to transact, interact, and where you live is no longer going to be as much of a factor as it is today. >> Awesome. Michael, what's your take? What's possible? Where's it going? >> Yeah, I would take what Jaime said earlier. You know, I mean using the AMM example, the automated market making example. From our end, you know, I think one of the defining moment was, you know, when UniSwap first roll out, you know, in the big way, it allowed many individuals to become market makers for the first time in their lives. And I think that's very powerful, you know. It changes the dynamic as to where the, I guess, you know, the forces and the power of finance, you know, lies. In addition to that, you know, like I said before, I think many people would start to come up with their own ideas as to how things, you know, can be executed from a finance perspective to achieve many different risk reward profiles. So from that sense, you know, I think it is only the beginning that now we are seeing how, you know, digital identities, you know, can be linked, you know, to an individual. And at the same time, also the value creation side of the story. >> All right. Mike, your take. What's next? >> Yeah. I believe in two things. First, this is cross-chain and will it chain liquidity? Because right now it's not simple way for transferring, for example, USDC or stablecoin from polygon to cosmos network. But I believe in common liquidity for cross-chain. And the second one is more user friendly interfaces like hybrid interfaces and connecting DeFi and traditional financial startups like near ecosystem building now. Then you have layer one, blockchain solution, and then layer two, application with who are connected to our one application. More user friendly and more common useless applications. >> Great stuff, guys. Amazing content. Great panel. You guys are awesome. Great on the front front range of this whole wave. We got one minute left. So quick lightning questions. So in one quick statement, what one thing should people pay attention to in DeFi as we look at the next, you know, year or two as we go forward? What are the key innovations? What should people look at? It could be an area that's obvious, it could be an area that's not obvious that people should look at, pay attention, that's super important. That is the most important area. Mike, we'll start with you and we'll go across. >> Sure. I would say one thing is composability. I really am excited about the fact that everyone are starting to generate ideas on their own and simply leveraging the existing DeFi infrastructure to allow that to happen. So that's one thing I would say. >> Jaime? >> Sorry. I think NFTs, right? NFTs, I'm not talking about the JPEGs or the pictures. I'm talking about the use of these technologies in much the same way that we were talking about being able to identify yourself online or buying actual real estate or whatever it might be. I think that we're unable to imagine what's going to be some of the biggest uses and I'm very, very excited about seeing what's going to happen. >> Okay. Mike, final statement. What one thing should people pay attention to? >> To my mind, we don't know what market will be next year. And I will recommend to pay attention for stable strategies, for stable core and projects, for stable rates, and always stable coin farming sphere for DeFi market. >> Guys, thanks so much for sharing your insight on this topic. Really appreciate your time for coming into theCUBE here in Palo Alto for the Unstoppable Domains Partner Showcase. Really thankful. Thanks for sharing. >> Thank you very much. >> Okay. This is theCUBE conversation here. I'm John Furrier with theCube. Thanks for watching. (upbeat music)

from around the globe it's thecube with digital coverage of exascale day made possible by hewlett packard enterprise welcome everyone to the cube celebration of exascale day ben bennett is here he's an hpc strategist and evangelist at hewlett-packard enterprise ben welcome good to see you good to see you too son hey well let's evangelize exascale a little bit you know what's exciting you uh in regards to the coming of exoskilled computing um well there's a couple of things really uh for me historically i've worked in super computing for many years and i have seen the coming of several milestones from you know actually i'm old enough to remember gigaflops uh coming through and teraflops and petaflops exascale is has been harder than many of us anticipated many years ago the sheer amount of technology that has been required to deliver machines of this performance has been has been us utterly staggering but the exascale era brings with it real solutions it gives us opportunities to do things that we've not been able to do before if you look at some of the the most powerful computers around today they've they've really helped with um the pandemic kovid but we're still you know orders of magnitude away from being able to design drugs in situ test them in memory and release them to the public you know we still have lots and lots of lab work to do and exascale machines are going to help with that we are going to be able to to do more um which ultimately will will aid humanity and they used to be called the grand challenges and i still think of them as that i still think of these challenges for scientists that exascale class machines will be able to help but also i'm a realist is that in 10 20 30 years time you know i should be able to look back at this hopefully touch wood look back at it and look at much faster machines and say do you remember the days when we thought exascale was faster yeah well you mentioned the pandemic and you know the present united states was tweeting this morning that he was upset that you know the the fda in the u.s is not allowing the the vaccine to proceed as fast as you'd like it in fact it the fda is loosening some of its uh restrictions and i wonder if you know high performance computing in part is helping with the simulations and maybe predicting because a lot of this is about probabilities um and concerns is is is that work that is going on today or are you saying that that exascale actually you know would be what we need to accelerate that what's the role of hpc that you see today in regards to sort of solving for that vaccine and any other sort of pandemic related drugs so so first a disclaimer i am not a geneticist i am not a biochemist um my son is he tries to explain it to me and it tends to go in one ear and out the other um um i just merely build the machines he uses so we're sort of even on that front um if you read if you had read the press there was a lot of people offering up systems and computational resources for scientists a lot of the work that has been done understanding the mechanisms of covid19 um have been you know uncovered by the use of very very powerful computers would exascale have helped well clearly the faster the computers the more simulations we can do i think if you look back historically no vaccine has come to fruition as fast ever under modern rules okay admittedly the first vaccine was you know edward jenner sat quietly um you know smearing a few people and hoping it worked um i think we're slightly beyond that the fda has rules and regulations for a reason and we you don't have to go back far in our history to understand the nature of uh drugs that work for 99 of the population you know and i think exascale widely available exoscale and much faster computers are going to assist with that imagine having a genetic map of very large numbers of people on the earth and being able to test your drug against that breadth of person and you know that 99 of the time it works fine under fda rules you could never sell it you could never do that but if you're confident in your testing if you can demonstrate that you can keep the one percent away for whom that drug doesn't work bingo you now have a drug for the majority of the people and so many drugs that have so many benefits are not released and drugs are expensive because they fail at the last few moments you know the more testing you can do the more testing in memory the better it's going to be for everybody uh personally are we at a point where we still need human trials yes do we still need due diligence yes um we're not there yet exascale is you know it's coming it's not there yet yeah well to your point the faster the computer the more simulations and the higher the the chance that we're actually going to going to going to get it right and maybe compress that time to market but talk about some of the problems that you're working on uh and and the challenges for you know for example with the uk government and maybe maybe others that you can you can share with us help us understand kind of what you're hoping to accomplish so um within the united kingdom there was a report published um for the um for the uk research institute i think it's the uk research institute it might be epsrc however it's the body of people responsible for funding um science and there was a case a science case done for exascale i'm not a scientist um a lot of the work that was in this documentation said that a number of things that can be done today aren't good enough that we need to look further out we need to look at machines that will do much more there's been a program funded called asimov and this is a sort of a commercial problem that the uk government is working with rolls royce and they're trying to research how you build a full engine model and by full engine model i mean one that takes into account both the flow of gases through it and how those flow of gases and temperatures change the physical dynamics of the engine and of course as you change the physical dynamics of the engine you change the flow so you need a closely coupled model as air travel becomes more and more under the microscope we need to make sure that the air travel we do is as efficient as possible and currently there aren't supercomputers that have the performance one of the things i'm going to be doing as part of this sequence of conversations is i'm going to be having an in detailed uh sorry an in-depth but it will be very detailed an in-depth conversation with professor mark parsons from the edinburgh parallel computing center he's the director there and the dean of research at edinburgh university and i'm going to be talking to him about the azimoth program and and mark's experience as the person responsible for looking at exascale within the uk to try and determine what are the sort of science problems that we can solve as we move into the exoscale era and what that means for humanity what are the benefits for humans yeah and that's what i wanted to ask you about the the rolls-royce example that you gave it wasn't i if i understood it wasn't so much safety as it was you said efficiency and so that's that's what fuel consumption um it's it's partly fuel consumption it is of course safety there is a um there is a very specific test called an extreme event or the fan blade off what happens is they build an engine and they put it in a cowling and then they run the engine at full speed and then they literally explode uh they fire off a little explosive and they fire a fan belt uh a fan blade off to make sure that it doesn't go through the cowling and the reason they do that is there has been in the past uh a uh a failure of a fan blade and it came through the cowling and came into the aircraft depressurized the aircraft i think somebody was killed as a result of that and the aircraft went down i don't think it was a total loss one death being one too many but as a result you now have to build a jet engine instrument it balance the blades put an explosive in it and then blow the fan blade off now you only really want to do that once it's like car crash testing you want to build a model of the car you want to demonstrate with the dummy that it is safe you don't want to have to build lots of cars and keep going back to the drawing board so you do it in computers memory right we're okay with cars we have computational power to resolve to the level to determine whether or not the accident would hurt a human being still a long way to go to make them more efficient uh new materials how you can get away with lighter structures but we haven't got there with aircraft yet i mean we can build a simulation and we can do that and we can be pretty sure we're right um we still need to build an engine which costs in excess of 10 million dollars and blow the fan blade off it so okay so you're talking about some pretty complex simulations obviously what are some of the the barriers and and the breakthroughs that are kind of required you know to to do some of these things that you're talking about that exascale is going to enable i mean presumably there are obviously technical barriers but maybe you can shed some light on that well some of them are very prosaic so for example power exoscale machines consume a lot of power um so you have to be able to design systems that consume less power and that goes into making sure they're cooled efficiently if you use water can you reuse the water i mean the if you take a laptop and sit it on your lap and you type away for four hours you'll notice it gets quite warm um an exascale computer is going to generate a lot more heat several megawatts actually um and it sounds prosaic but it's actually very important to people you've got to make sure that the systems can be cooled and that we can power them yeah so there's that another issue is the software the software models how do you take a software model and distribute the data over many tens of thousands of nodes how do you do that efficiently if you look at you know gigaflop machines they had hundreds of nodes and each node had effectively a processor a core a thread of application we're looking at many many tens of thousands of nodes cores parallel threads running how do you make that efficient so is the software ready i think the majority of people will tell you that it's the software that's the problem not the hardware of course my friends in hardware would tell you ah software is easy it's the hardware that's the problem i think for the universities and the users the challenge is going to be the software i think um it's going to have to evolve you you're just you want to look at your machine and you just want to be able to dump work onto it easily we're not there yet not by a long stretch of the imagination yeah consequently you know we one of the things that we're doing is that we have a lot of centers of excellence is we will provide well i hate say the word provide we we sell super computers and once the machine has gone in we work very closely with the establishments create centers of excellence to get the best out of the machines to improve the software um and if a machine's expensive you want to get the most out of it that you can you don't just want to run a synthetic benchmark and say look i'm the fastest supercomputer on the planet you know your users who want access to it are the people that really decide how useful it is and the work they get out of it yeah the economics is definitely a factor in fact the fastest supercomputer in the planet but you can't if you can't afford to use it what good is it uh you mentioned power uh and then the flip side of that coin is of course cooling you can reduce the power consumption but but how challenging is it to cool these systems um it's an engineering problem yeah we we have you know uh data centers in iceland where it gets um you know it doesn't get too warm we have a big air cooled data center in in the united kingdom where it never gets above 30 degrees centigrade so if you put in water at 40 degrees centigrade and it comes out at 50 degrees centigrade you can cool it by just pumping it round the air you know just putting it outside the building because the building will you know never gets above 30 so it'll easily drop it back to 40 to enable you to put it back into the machine um right other ways to do it um you know is to take the heat and use it commercially there's a there's a lovely story of they take the hot water out of the supercomputer in the nordics um and then they pump it into a brewery to keep the mash tuns warm you know that's that's the sort of engineering i can get behind yeah indeed that's a great application talk a little bit more about your conversation with professor parsons maybe we could double click into that what are some of the things that you're going to you're going to probe there what are you hoping to learn so i think some of the things that that are going to be interesting to uncover is just the breadth of science that can be uh that could take advantage of exascale you know there are there are many things going on that uh that people hear about you know we people are interested in um you know the nobel prize they might have no idea what it means but the nobel prize for physics was awarded um to do with research into black holes you know fascinating and truly insightful physics um could it benefit from exascale i have no idea uh i i really don't um you know one of the most profound pieces of knowledge in in the last few hundred years has been the theory of relativity you know an austrian patent clerk wrote e equals m c squared on the back of an envelope and and voila i i don't believe any form of exascale computing would have helped him get there any faster right that's maybe flippant but i think the point is is that there are areas in terms of weather prediction climate prediction drug discovery um material knowledge engineering uh problems that are going to be unlocked with the use of exascale class systems we are going to be able to provide more tools more insight [Music] and that's the purpose of computing you know it's not that it's not the data that that comes out and it's the insight we get from it yeah i often say data is plentiful insights are not um ben you're a bit of an industry historian so i've got to ask you you mentioned you mentioned mentioned gigaflop gigaflops before which i think goes back to the early 1970s uh but the history actually the 80s is it the 80s okay well the history of computing goes back even before that you know yes i thought i thought seymour cray was you know kind of father of super computing but perhaps you have another point of view as to the origination of high performance computing [Music] oh yes this is um this is this is one for all my colleagues globally um you know arguably he says getting ready to be attacked from all sides arguably you know um computing uh the parallel work and the research done during the war by alan turing is the father of high performance computing i think one of the problems we have is that so much of that work was classified so much of that work was kept away from commercial people that commercial computing evolved without that knowledge i uh i have done in in in a previous life i have done some work for the british science museum and i have had the great pleasure in walking through the the british science museum archives um to look at how computing has evolved from things like the the pascaline from blaise pascal you know napier's bones the babbage's machines uh to to look all the way through the analog machines you know what conrad zeus was doing on a desktop um i think i think what's important is it doesn't matter where you are is that it is the problem that drives the technology and it's having the problems that requires the you know the human race to look at solutions and be these kicks started by you know the terrible problem that the us has with its nuclear stockpile stewardship now you've invented them how do you keep them safe originally done through the ascii program that's driven a lot of computational advances ultimately it's our quest for knowledge that drives these machines and i think as long as we are interested as long as we want to find things out there will always be advances in computing to meet that need yeah and you know it was a great conversation uh you're a brilliant guest i i love this this this talk and uh and of course as the saying goes success has many fathers so there's probably a few polish mathematicians that would stake a claim in the uh the original enigma project as well i think i think they drove the algorithm i think the problem is is that the work of tommy flowers is the person who took the algorithms and the work that um that was being done and actually had to build the poor machine he's the guy that actually had to sit there and go how do i turn this into a machine that does that and and so you know people always remember touring very few people remember tommy flowers who actually had to turn the great work um into a working machine yeah super computer team sport well ben it's great to have you on thanks so much for your perspectives best of luck with your conversation with professor parsons we'll be looking forward to that and uh and thanks so much for coming on thecube a complete pleasure thank you and thank you everybody for watching this is dave vellante we're celebrating exascale day you're watching the cube [Music]