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In addition to what everyone else has said, UF has over 50,000 students, making it one of the five largest universities in the USA, iirc.
by auslegung 6y ago
In addition to what everyone else has said, UF has over 50,000 students, making it one of the five largest universities in the USA, iirc.
- wil421 6y agoCorrect. Florida has 3 of the top 10 by enrollment. UCF, UF, FIU, and USF. Georgia made the list, go dawgs.
- gavinray 6y agoI moved to Miami from Boulder, and was working out of an office that was on FIU campus for a good while. The first time I walked on the campus, it blew my mind. I'd never heard about Florida International University as an American, but it's easily the biggest and most beautiful I've seen.
- xvilka 6y agoPrecisely explains why NVIDIA did that - to hook up all these 50k students to CUDA. Much more profitable in the long run.
- fma 6y agoAll 50k Students aren't engineers...
- QuotedForTruth 6y agoAs a UF CS grad, I bet less than 100 students will get hands on this computer each year. Maybe way less than 100. Although I wasn't a graduate student so maybe way more of them have access than I realize.
- easton 6y agoDo you know how the CS program is doing these days? I heard it was on the ropes a few years ago but this looks like they are investing in it again?
- fma 6y agoAccording to the Hipergator Website: https://www.rc.ufl.edu/access/account-request/ https://www.rc.ufl.edu/access/account-request/ To be eligible for an account on HiPerGator, you must be on an education or research project that has as one of its Principal or Co-Principal investigators a faculty or staff member at the University of Florida. I'm also a UF alumni (undergrad & grad EE), and IIRC back in my day high performance computing was a grad class. I never took it, but it wouldn't surprise me if for the grad class there would be labs on the super computer where students can get limited access.
- throwgeorge 6y agoi don't know how far off you are but i had access to an 8GPU allocation last fall and all I had to do was ask. longer term would've cost money though. Interesting fact was someone in the chemistry department had something like a 360GPU allocation (probably for DFT).
- rrss 6y agoThere's a lot of ways to program these GPU supercomputers, and you are maybe overestimating how much of the HPC code is written in CUDA. Some is, for sure, but there's also a lot using OpenACC or OpenMP (C, C++, or Fortran with annotations), or frameworks like Kokkos. Recently, it also became possible to use C++17 stdpar and get GPU acceleration (https://docs.nvidia.com/hpc-sdk/compilers/c++-parallel-algorithms/index.html https://docs.nvidia.com/hpc-sdk/compilers/c++-parallel-algor...).
- deleted 6y ago[deleted]