Manuel Behrendt

Description

With MERA, 3D hydrodynamic simulation data can be easily loaded into a database framework (currently supported: RAMSES). In our daily life we are dealing with steadily increasing amounts of data. MERA together with Julia, makes the processing of large data sets fast, clearly represented and the working memory lightweight.

Many functions with examples and tutorials are provided to create a simple and an efficient workflow of your analysis. 

I created the package for my personal usage and it is constantly evolving. I am happy to share it with the community and hope it will be helpful in many ways.

Purpose

  • Easy to install and update
  • Fast and memory lightweight data processing
  • Simple coding for the user
  • Many functionalities for advanced analysis
  • Transparent operations of the functions
  • Interactive and script functionality
  • Many examples and tutorials

MERA is a package for working with large 3D AMR and particle data sets  from astrophysical simulations and is written in the language Julia! 

Coming soon!

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Why the language Julia?

In scientific computing we are dealing with a steadily increasing amount of produced data. This requires highest performance and therefore, most science related libraries are written in low-level languages like C or Fortran with relatively long development times. The reduced data is often processed in a high-level language like Python.

Julia is a relatively new and modern language and it combines high-level programing with high-performance numerical computing. The syntax is simple and great for math, the just-in-time compilation allows for interactive coding and to achieve an optimized machine code on the fly. Both enhance prototyping and code readability. Therefore, complex projects can be realized in relatively short development times.

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Further features: 

- Package manager

- Runs on multiple platform 

- Multiple dispatch

- Build-in parallelism

- Metaprogramming

- Directly call C, Fortran and Python libraries (e.g. Matplotlib)

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