Chapter 432: Supercomputing Application
Translator: Henyee Translations Editor: Henyee Translations
After receiving Lu Zhou’s reply, Carlson basically didn’t have any hope. The Millennium Prize Problem ceremony was put to a hold.
However, soone might have leaked the news of the Clay Institute’s original award ceremony plans.
Then the rumors ended up being that Lu Zhou had rejected the award.
Ever since the Navier–Stokes equation was solved, the dia had been paying attention to the million-dollar Millennium Prize Problem award. After all, for people that didn’t study mathematics, a million-dollar award was much more shocking than the solution to the Navier–Stokes equation...
The New York Tis reporter’s comnts.
[... After Perelman, a Russian mathematician, refused the million-dollar award, Chinese mathematician Lu Zhou also refused the award. There seems to be a magical curse attached to the Millennium Prize Problems as everyone that solves the problems seems to lose interest in money?]
Hardy handed the newspaper article to Lu Zhou, and after Lu Zhou finished reading it, he threw it in the garbage bin and shook his head.
“It’s absolute nonsense! When did I refuse the award? I only told Clay Institute to wait for a bit as I’ve been very busy recently. I don’t have ti to fly to Paris.”
Hardy: “Professor, did you dismiss the Clay Institute’s prize money because you don’t have ti to go there?”
Lu Zhou corrected him. “I postponed it, not dismissed.”
Hardy shrugged and said, “Okay, postponed... Professor, actually I have a suggestion, I don’t know if I should say it.”
Lu Zhou looked at Hardy and asked, “What suggestion?”
Hardy scratched his head and smiled as he said, “What I’m saying is, if you don’t have the ti, I can go to Paris and accept the prize for you. You’re busy with research, but I don’t mind traveling...”
Lu Zhou: “...”
This dude... has too much free ti!
...
The rumors about Lu Zhou was only a minor disturbance.
Lu Zhou was busy with plasma turbulence research, and he didn’t have ti to go do so press conference and clear this boring matter.
Solving the Navier–Stokes equation didn’t only cause Lu Zhou to receive excessive dia and award ceremony attention, but it also gave him other troubles.
For example, ever since he returned to Arica with the Fields dal, his email had been filled with invitations from various places.
So of which were from dostic and foreign research institutes, so were from the top 100 mathematics universities, and so weren’t even from the academic field; there were invitations for a TV show and a talk show...
Once Lu Zhou left Xiao Ai to sort through these emails, he felt a lot more relaxed.
In addition to rejecting people and dealing with the spams, Xiao Ai was basically his personal assistant. As demonstrated, Xiao Ai had beco more and more intelligent.
After solving these trivial matters, Lu Zhou returned to his research on the plasma turbulence problem.
It was worth ntioning that the difficulty of the turbulence problem was divided into two parts.
The first part mainly ca from the complexity of the system itself and the environnt around the system as well as the difficulty that arose from the diversity of the turbulent motion system as a whole.
Take a spacecraft as an example. As the altitude, speed, or even location and material surface temperature changed, the gas and macrochanical environnt around the spacecraft was also constantly changing.
The second part ca from the thodology of classical physics.
Traditional reductionism started from the most basic components of the material dynamics and established the equations of motion from the basic interaction laws. This sounded simple. After all, most classical physics formulas didn’t even require advanced physics.
However, in the world of physics, “more is complex”.
Take an aircraft as an example, the flow field around the aircraft contains 10^15~10^24 microfluids, and each microfluid had to be individually chanically analyzed. The interaction forces between the microfluids also had to be considered, and this problem couldn’t be solved even with the entire world’s computing resources.
Due to its complexity, most models made by computational fluid dynamics researchers were phenonon-based. Therefore, different scholars using the sa computational fluid dynamics modeling thod could get different results.
Because of this, turbulence computational fluid dynamics modeling based on a closed model was often considered an art rather than hard science.
The reason why people were so obsessed with a smooth solution to the Navier–Stokes equation was not only because they wanted to find out if such a solution existed, but they also wanted to know what mathematicians would find out while researching this problem.
The mathematicians might find out a structural quantity between the subsonic zone and sonic zone, or an approximate weak form in a limited range. Or in the case of L Manifold, the L Manifold differential geotry thod that could be used on partial differential equations.
For the plasma inside the stellarator, the first complexity part was relatively easy to deal with. Although plasma wasn’t stable under high temperatures and pressures, at least the macro-plasma circulation was relatively uniform.
The second type of complexity problem was much more cumberso.
However, this was only difficult for normal people.
After Lu Zhou applied the L Manifold into the Navier–Stokes equation and built a mathematical model based on differential geotry experintal data, he found out that although the process was difficult, the end result wasn’t as complex as he had imagined.
Ti quickly flew by.
Early September.
Lu Zhou sat in his office at Princeton Institute for Advanced Study while he stared at his computer screen. From ti to ti, he would write on a draft paper with the pen in his hand.
After he entered the final line of calculations on the computer, he finally let out a sigh of relief and put down his ballpoint pen.
“Done!”
When Hardy heard his professor’s voice, he looked up with a confused expression. He made eye contact with Qin Yue before he looked back down again.
Jerick and Vera also looked at Lu Zhou with worship. Especially Vera, her eyes were almost twinkling with stars.
Although she didn’t know what her professor was doing, she felt like her professor was doing sothing amazing.
As for Wei Wen, he was writing his master’s thesis while completely ignoring the commotion around him. He wanted to finish his master’s this year and start his PhD next year, so he wasn’t concerned with Lu Zhou’s work.
All he knew was that his professor was researching sothing nutty again...
Lu Zhou didn’t notice his students’ reaction; he quickly double-checked his mathematical model and then copied the data onto a USB. He took the USB and quickly left the office.
Equation derivation could be done by a human brain, but whenever a nurical solution was concerned, the calculations were beyond the capabilities of a human.
In order to verify his mathematical model and to collect so firsthand simulation data, Lu Zhou needed a supercomputer.
The faster the computer, the better!
...
As one of the richest universities in North Arica, Princeton’s wealth wasn’t only reflected in its willingness to poach talented people, but also its campus hardware facilities.
Although Princeton was a small town, there was everything from plasma laboratories to supercomputers centers.
This showed how important having a financially strong alumni association was for a university.
Princeton’s supercomputer was at the John von Neumann Center; it was mainly used for simulations in condensed matter physics, plasma physics, and cosmic chanics.
Lu Zhou was acquainted with a big na in the parallel computing field—David Shaw.
However, Anton’s supercomputing powers only excelled in the computational chemistry field; it wasn’t ideal for general computing.
Not to ntion, David Shaw might not be interested in plasma physics or fluid dynamics simulation. Therefore, Lu Zhou didn’t want to bother him.
Lu Zhou didn’t have to wait long after he filled in the application form in Nassau Hall. He quickly received approval from the school.
Any research project linked to the PPPL had the highest priority.
Not to ntion, the researcher was a Fields dal winner.
Lu Zhou took the relevant docunts to the John von Neumann Center and the director of the center, Ar Green. He told Ar Green about his intentions.
After hearing Lu Zhou’s request, Green was full of surprise.
“Unbelievable... Are you sure you’re not kidding? You successfully built a mathematical model for plasma turbulence in a stellarator?”
Although Green wasn’t a physicist, he still knew how amazing this achievent was.
Lu Zhou sighed and waved the application approval docunt in his hand as he said, “It’s still six months until April Fool’s, I’m not joking.”
Professor Green didn’t waste a second. He switched on his work computer and said, “Did you bring the model?”
Lu Zhou put the USB on the table and said, “Of course.”
Green plugged the USB into the computer and opened the files inside. He looked at the data and images on the computer screen and rubbed his beard. He thought for a bit before he said, “To put it bluntly, this is difficult. I’m not sure John Neumann has the capabilities to withstand computing on this magnitude. You might need sothing like the Summit supercomputer at the Oak Ridge National Laboratory... Are you sure you can’t simplify the model?”
Lu Zhou shook his head and said, “That’s the most I can simplify it.”
“Okay then, you have given us a difficult problem on behalf of PPPL.” Professor Green spun the pen in his hand and said, “I can solve the algorithm part, but don’t expect results anyti soon.”
Lu Zhou nodded and said, “I know, I will also help you guys.”
Professor Green smiled and said, “Of course! After all, we do massively parallel computing; we’re no plasma physicists.”
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