Helpful Context: Machine Learning has become one of the hottest research and industry areas over the last few years; we believe This workshop brings together four speakers on different topics in numerical analysis, to demonstrate the strengths of

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The remote memory access routines from MPI-3 are a natural fit for the This workshop brings together four speakers on different topics in numerical analysis, to demonstrate the strengths of Latexify.jl allows you to create and render LaTeX code from not only simple types, but also arrays and even systems of equations.

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Latexify.jl allows you to create and render LaTeX code from not only simple types, but also arrays and even systems of equations. Abstract With Joulia.jl we developed a package for electricity sector models in

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  • This workshop brings together four speakers on different topics in numerical analysis, to demonstrate the strengths of
  • Abstract With Joulia.jl we developed a package for electricity sector models in
  • Machine Learning has become one of the hottest research and industry areas over the last few years; we believe
  • Latexify.jl allows you to create and render LaTeX code from not only simple types, but also arrays and even systems of equations.
  • The remote memory access routines from MPI-3 are a natural fit for the

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Visual References

Engineering Julia for Speed | Lionel Zoubritzky | JuliaCon 2018
Machine Learning with Julia: Elegance, Speed and Ease | Innes & Yuret | JuliaCon 2018
JuliaCon 2018 (London) Highlights
A Julia package for Large-scale Open-source Electricity Sector Models | Weibezahn | JuliaCon 2018
Parallel Computing With MPI-3 RMA and Julia | Bart Janssens | JuliaCon 2018
A Beginner's Julia Tutorial for Engineers and Roboticists
Performance of a Distributed Julia Simulation... | Przemyslaw Szufel | JuliaCon 2018
Numerical Analysis in Julia | Sheehan Olver | JuliaCon 2018
Latexify.jl and How Julia's Metaprogramming Makes it Useful | Niklas Korsbo | JuliaCon 2018
The Case for Julia โ€” Not Harder, but Better, Faster, and Stronger
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Engineering Julia for Speed | Lionel Zoubritzky | JuliaCon 2018

Engineering Julia for Speed | Lionel Zoubritzky | JuliaCon 2018

Read more details and related context about Engineering Julia for Speed | Lionel Zoubritzky | JuliaCon 2018.

Machine Learning with Julia: Elegance, Speed and Ease | Innes & Yuret | JuliaCon 2018

Machine Learning with Julia: Elegance, Speed and Ease | Innes & Yuret | JuliaCon 2018

Machine Learning has become one of the hottest research and industry areas over the last few years; we believe

JuliaCon 2018 (London) Highlights

JuliaCon 2018 (London) Highlights

Read more details and related context about JuliaCon 2018 (London) Highlights.

A Julia package for Large-scale Open-source Electricity Sector Models | Weibezahn | JuliaCon 2018

A Julia package for Large-scale Open-source Electricity Sector Models | Weibezahn | JuliaCon 2018

Abstract With Joulia.jl we developed a package for electricity sector models in

Parallel Computing With MPI-3 RMA and Julia | Bart Janssens | JuliaCon 2018

Parallel Computing With MPI-3 RMA and Julia | Bart Janssens | JuliaCon 2018

The remote memory access routines from MPI-3 are a natural fit for the

A Beginner's Julia Tutorial for Engineers and Roboticists

A Beginner's Julia Tutorial for Engineers and Roboticists

Read more details and related context about A Beginner's Julia Tutorial for Engineers and Roboticists.

Performance of a Distributed Julia Simulation... | Przemyslaw Szufel | JuliaCon 2018

Performance of a Distributed Julia Simulation... | Przemyslaw Szufel | JuliaCon 2018

Read more details and related context about Performance of a Distributed Julia Simulation... | Przemyslaw Szufel | JuliaCon 2018.

Numerical Analysis in Julia | Sheehan Olver | JuliaCon 2018

Numerical Analysis in Julia | Sheehan Olver | JuliaCon 2018

This workshop brings together four speakers on different topics in numerical analysis, to demonstrate the strengths of

Latexify.jl and How Julia's Metaprogramming Makes it Useful | Niklas Korsbo | JuliaCon 2018

Latexify.jl and How Julia's Metaprogramming Makes it Useful | Niklas Korsbo | JuliaCon 2018

Latexify.jl allows you to create and render LaTeX code from not only simple types, but also arrays and even systems of equations.

The Case for Julia โ€” Not Harder, but Better, Faster, and Stronger

The Case for Julia โ€” Not Harder, but Better, Faster, and Stronger

Read more details and related context about The Case for Julia โ€” Not Harder, but Better, Faster, and Stronger.