Awesome talk, thanks for the notebook!

On 04/12/2015 08:58 AM, Andreas Noack wrote:
The notebook is now available from

http://andreasnoack.github.io/talks/2015AprilStanford_AndreasNoack.ipynb

Note that it is based on master so some parts of the code might fail on Julia release.

2015-04-11 15:21 GMT-04:00 Andreas Noack <andreasnoackjen...@gmail.com <mailto:andreasnoackjen...@gmail.com>>:

    I've been in transit back to Boston and the notebook requires a
    bit of post processing, but I'll try to make the notebook
    available tonight or tomorrow.

    2015-04-11 13:21 GMT-04:00 Jim Garrison <j...@garrison.cc
    <mailto:j...@garrison.cc>>:

        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.




Reply via email to