Please log in to watch this conference skillscast.

In this talk, Sam will be explaining why high performance linear algebra requires hardware support and show how to utilise netlib-java in Scala (e.g. via Breeze).

Netlib-java is for accessing hardware optimised linear algebra libraries (i.e. high performance mathematics). It is being used in investment banks, aerospace companies and has recently been adopted by the Apache Spark ecosystem:

https://github.com/fommil/netlib-java

In netlib-java, implementations of BLAS/LAPACK/ARPACK are provided by:

• delegating builds that use machine optimised system libraries (see below)
• self-contained native builds using the reference Fortran from netlib.org
• F2J to ensure full portability on the JVM

In this talk, Sam will be explaining why high performance linear algebra requires hardware support and show how to utilise netlib-java in Scala (e.g. via Breeze).

Sam will also discuss why GPUs are the future for linear algebra, and the technical challenges that remain.

YOU MAY ALSO LIKE:

• LDNUG September 2017 - #ProgNET Special with Richard Campbell (in London on 12th September 2017)
• Progressive .NET 2017 (in London on 13th - 15th September 2017)
• London Unreal Engine Meetup (in London on 20th September 2017)
• Fast Track to F# with Tomas Petricek & Phil Trelford (in London on 16th - 17th October 2017)