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2022-09 NITheCS Mini-School: Henri Laurie, The Julia language: easy, generic, fast (but no free lunch)
2022-09 NITheCS Mini-School:

Henri Laurie

The Julia language: easy, generic, fast (but no free lunch)

Abstract: These four talks on Julia form a general and high-level introduction to Julia as a language for scientific computing.

Talk 1: A showcase of Julia code, development interfaces and achievements, and introducing the claims that Julia solves the two-language problem and also solves the expression problem.

Talk 2: Julia's design principles and tradeoffs (covering things like multiple dispatch, the type system, the object model, modularity, scope rules, JIT compilation, code introspection, parallellisation by design, and perhaps others).

Talk 3: The DifferentialEquations organisation (which claims to be by far the best general-purpose system of packages for differential equations).

Talk 4: Rapid development of performant code, massive code re-use: does Julia really solve the two-language problem and the expression problem? And what might this mean for HPC?
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