Improve this question. Rewan Demontay SubhanKhan SubhanKhan 2, 7 7 silver badges 22 22 bronze badges. Add a comment. Active Oldest Votes. Improve this answer. PhishMaster PhishMaster I read in an article en. Is Sesse actually less? Yes, and no. Yes, in that the numbers do not lie, and Hydra calculated more. That does not mean that Hydra was faster though. It may just mean that the way Hydra's software compared to the way Sesse uses Stockfish are different One thing that you need to realize is although many people call Sesse a "super-computer", it is just a stronger computer relative to other multi-core computers.
It is just an ordinary server. I am an IT consultant, and I regularly work on servers that are stronger than what Sesse is running. Hydra was a cluster with — PhishMaster. I would still bet that Sesse is still much stronger, and it is the software differences that you are seeing, but we will never know for sure.
Phishmaster one more thing to say which is unrelated, but MVL is now replacing Radjabov in the candidates tournament I am serious. Wikipedia's article on the World Chess Championship has the following line on Sesse: The games were analysed live by the Sesse computer, running Stockfish.
Hadean's technology has the potential to unlock huge creative and design-orientated freedom within virtual worlds such as EVE. Hilmar V. Hadean's Aether Engine is a game-changer that opens up a range of new design possibilities -- not just for games like Minecraft, but for streaming platforms, developer communities, and even enterprise applications. Imagine writing a 50 line program to analyse megabytes of data on your laptop.
Now imagine applying the same program to terabytes of data, using thousands of processors in the cloud. This is the system Hadean is building. David May, inventor of the first microprocessor. Simulations developed on Aether Engine will enable us to significantly speed up predictions on how viruses like COVID interact in humans.
Cervus are immensely proud to be working with our partners at Hadean. The compute power needed to run multiple simulations to quickly examine different courses of action has limited the way we deliver decision support to date. Integrating our analytics engine, Hive 2. So, the supercomputer is sized so that it can handle massive amounts of data and bring a result in a short amount of time.
If you wanted to do this with regular computers or by human effort, to process that same amount of data would take so long that it's no longer useful. Just think of predicting the weather. People could look at and do all of the calculations by hand and then they would be able to say, "Okay, here's the weather report for Oh, well, actually, that's now a year ago because it took us a year to do the calculation.
Nicci Brown : Can you take us behind the curtain a little bit and tell us what actually the staff does when they're working with HiPerGator? Erik Deumens : Yeah. So, the research computing team at the University of Florida consists of two types of people. We have one group and they're called the system-facing people. And they're the ones who care and feed the machine, make sure that everything is working, that it doesn't overheat, that the software is working.
And then there's the researcher-facing people. And they are the people who help the researchers get their problem done. And we do all kinds of tasks from answering simple questions, "Well, I'm trying to find this file and I cannot find it" or "I run this software and it immediately dies.
How do I go about it? And then we provide something that's more like a consulting service where we help them define the question, what is available software that they might possibly use and then guide them through the steps of setting it up, provide some training and let them be successful in answering their scientific question.
Who gave this recognition? Who are the people who can say this is what it is? Erik Deumens : Well, there is something called the Top list of supercomputers and it was created in or something.
And it's actually associated with the International Conference of Supercomputing that has been held also since that time. So, the way this works is there is a particular computational benchmark that you have to run. And then that gives you a particular speed. It's sort of like running the marathon and the one who does it the fastest, that's how you rank. So the Top computers are listed like that. But it includes everything.
It includes industry computers, education, research labs. So that's where we then look and say, well, if you look at only universities, then you get to these numbers that you just mentioned. Nicci Brown : So, I think it's fair to say that having a computer with this level of power is a game-changer for a research university. Can you explain in everyday terms just how powerful HiPerGator is? How does it compare to, say a regular desktop or laptop computer? Erik Deumens : Well, I can make you a small sort of calculation of how powerful this computer is.
If you look at a full length, high-definition movie, two hours, it takes about four gigabytes to store it. And then you take 2, of those high-definition movies and you ask it an AI relevant question, like, "Well, who are all the actors in all these movies and when do they appear, and how many roles and how many lines do they have? Well, then HiPerGator AI can watch all those 2, movies and at the end give you a report and do all of that in one second.
Now, if a person wants to watch all these movies, then it would take about eight-hour working days. And I know the millennials now like to watch videos at twice the speed, so they can do it in eight-hour working days, but it's still a whole year compared to HiPerGator AI doing it in one second.
Nicci Brown : It's mind-blowing when you really think about it and put it that way. So, what are some of the research projects that are making use of HiPerGator's power and how is HiPerGator impacting that work? Erik Deumens : Our vice president for research, Dr. Norton, made a Catalyst Award announcement in the summer of ' Lots of people applied with ideas of how they could use and how AI could enhance and HiPerGator could help their particular research project. And it involves graduate students, collaborators all over the world and all led by faculty at the University of Florida.
Some examples are precision medicine, like in dentistry. One of the things that people are interested in is if you want to put an implant, it's very important to very accurately place the hole where you're going to drill that screw. And if that is too close to this little channel in the jaw where the nerve is, then you're going to have constant toothache. So, it's very important.
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