Is the IJulia notebook associated with this talk available online anywhere?
On Saturday, April 11, 2015 at 7:33:30 AM UTC-7, Viral Shah wrote: > > This talk is highly recommended, if you have been following the > development of linear algebra in Julia from the sidelines, and want to know > a little more about why things are the way they are, and where it is headed. > > -viral > > On Friday, April 10, 2015 at 11:02:52 PM UTC+5:30, Nick Henderson wrote: >> >> Certainly! The video can be found here: >> >> https://www.youtube.com/watch?v=VS0fnUOAKpI >> >> Other ICME videos: >> >> https://www.youtube.com/user/ICMEStudio >> >> History of Gaussian Elimination is quite interesting: >> >> https://www.youtube.com/watch?v=KxmmYve4AX0 >> >> Cheers, >> Nick >> >> >> On Friday, April 10, 2015 at 12:18:56 AM UTC-7, Valentin Churavy wrote: >>> >>> Could you send out an e-mail when the video goes online in the archive? >>> >>> On Friday, 10 April 2015 08:26:15 UTC+9, Nick Henderson wrote: >>>> >>>> In setting up the livestream a new link was created: >>>> >>>> https://www.youtube.com/watch?v=WrFURbHwwrs >>>> >>>> Videos are archived here: >>>> >>>> https://www.youtube.com/channel/UCizxnsw19qcTOdJdIJVtl0Q >>>> >>>> On Thursday, April 9, 2015 at 11:39:07 AM UTC-7, Nick Henderson wrote: >>>>> >>>>> Hello All, >>>>> >>>>> The Institute for Computational and Mathematical Engineering at >>>>> Stanford is pleased to have Andreas Noack and Jiahoa Chen speaking in >>>>> our Linear Algebra and Optimization seminar this Thursday and next. >>>>> Today's talk will be livestreamed via YouTube starting at 4:15pm PDT. >>>>> >>>>> Livestream link: https://www.youtube.com/watch?v=a_bFB1BZbvI >>>>> >>>>> (Videos will also be made available on YouTube after the seminar.) >>>>> >>>>> We hope you can tune in! >>>>> >>>>> CME 510 Spring 2015 >>>>> Linear Algebra and Optimization Seminar >>>>> ICME, Stanford University >>>>> http://icme.stanford.edu/ >>>>> >>>>> 4:15pm PDT Thursday April 9 >>>>> >>>>> Fast and flexible linear algebra in Julia >>>>> Andreas Noack, MIT CSAIL >>>>> >>>>> Applied scientists often develop computer programs exploratively, >>>>> where data examination, manipulation, visualization and code >>>>> development are tightly coupled. Traditionally, the programming >>>>> languages used are slow, with performance critical computations >>>>> relegated to library code written in languages on the other side of >>>>> Ousterhout's dichotomy, e.g. LAPACK. I will introduce the Julia >>>>> programming language and argue that it is well suited for computational >>>>> linear algebra. Julia provides features for exploratory program >>>>> development, but the language itself can be almost as fast as C and >>>>> Fortran. Furthermore, Julia's rich type system makes it possible to >>>>> extend linear algebra functions with user defined element types, such >>>>> as finite fields or strings with algebraic structured attached. I >>>>> will show examples of Julia programs that are relatively simple, yet >>>>> fast and flexible at the same time. Finally, the potential and >>>>> challenges for parallel linear algebra in Julia will be discussed. >>>>> >>>>
