High Performance Data With Clojure Chris Nuernberger

The London Clojurians are happy to present:

Title: **High Performance Data With Clojure**
Speaker: **Chris Nuernberger**

the new high performance data processing system for Clojure. His talk
will cover the axiomatic basis of array programming, some interesting
high performance primitives, and how representing your problem with a
column-major map-of-arrays design gives you some interesting
properties as compared to your standard Clojure row-major
sequence-of-maps design.

Chris got his start programming high performance 3D graphics in the
early 2000's. He has worked extensively in GIS, 3D graphics, and
machine learning building such things as graphical playback-style
debuggers for physics simulations systems, Cinema 4d-style graphics
editors, GIS tools including research into (at the time) new lossless
compression technologies and national scale facial recognition
systems. He started playing with Clojure in 2008 and has been working
in Clojure full time since 2015.

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[joshuacole]

Chris gave a really great talk here. His thinking on column major versus row major performance implications is top notch.

[npexception]

A great talk! Especially the "rows vs columns" part was very eye-opening for me. I never thought much about it and so far I always instinctively went with a row-major approach.

[mbjarland]

Fantastic talk and agree with other comments, the column major world view was a totally new and well needed perspective. Looking forward to using your libraries in future projects.

[topsiterings]

awesome work! glad to see this progressing! keep up guys!

[АндрейФерин-чщ]

Awesome! That's exactly I searched for

[saltrocklamp]

I would be curious to see the big R frameworks (base, dplyr, data.table) in the benchmark. As well as one of the fancy array languages like J or K.