Julia for High-Performance Scientific Computing

Course/Event Essentials

Event/Course Start
Event/Course End
Event/Course Format
Online
Live (synchronous)

Venue Information

Country: Sweden
Venue Details: Click here

Training Content and Scope

Scientific Domain
Level of Instruction
Beginner
Intermediate
Sector of the Target Audience
Research and Academia
Industry
Public Sector
HPC Profile of Target Audience
Application Users
Application Developers
Data Scientists
Language of Instruction

Other Information

Organiser
Event/Course Description

Did you know that the Julia programming language has many applications and is fastly adopted in industry and academia?

Julia is a modern high-level programming language that is fast (on par with traditional HPC languages like Fortran and C) and relatively easy to write like Python or Matlab. It thus solves the “two-language problem”, i.e. when prototype code in a high-level language needs to be combined with or rewritten in a lower-level language to improve performance.
Although Julia is a general-purpose language, many of its features are particularly useful for numerical scientific computation, and a wide range of both domain-specific and general libraries are available for statistics, machine learning and numerical modelling.