Methods, languages, techniques

VORtech can leverage a large variety of methods and techniques from mathematics and computer science.
Special expertise Digital twin technology Models and sensor data High Performance Computing Numerical analysis Machine learning Specialized viewers Methods, languages, techniques

The list below gives an impression of the methods and techniques that VORtech can leverage.

Programming languages

VORtech is expert in many programming languages. When studying the client’s code, we can deal with most programming languages. We improve code or port it to new software in a more appropriate programming language. A selection of the programming languages that VORtech uses is the following:

  • Performance oriented languages, like Fortran, C++ and C
  • Script-oriented languages, like Python, Perl, R, Matlab, PHP and JavaScript
  • Functional programming languages, like Haskell and Elm
  • Other languages, like C#, Java, Excel/VBA and domain-specific languages

High Performance Computing

VORtech improves code by making it as efficient as possible, so that it runs well with the best algorithm for the available hardware.

  • MPI, OpenMP (parallel programming platforms)
  • CUDA, OpenCL, OpenACC (GPU parallelism)
  • OCCA
  • Multi-core computing, cloud computing, cluster computing, super computers (CPU parallelism)
  • HDF, NetCDF (file formats for storing large amounts of data)

Data Analytics
VORtech is expert in data-driven projects, where we handle and store big data, analyse this data and get insights from this data.

  • LSTM, random forests, SVM
  • SQLite, PostgreSQL, mySQL, noSQL
  • Time-series analysis, statistics, linear algebra
  • Scikit-learn, TensorFlow, NumPy

Simulation methods

VORtech are experts in simulation methods in order to carry out e.g. scenario analyses.

  • Numerical simulation
  • Monte-Carlo methods
  • Discrete-event simulations

Data-assimilation techniques

VORtech has a special expertise in data assimilation, where measurements and models are integrated to make model outcomes more accurate.

Optimization techniques

VORtech applies optimization methods to solve e.g. portfolio problems.

  • (Non)linear mathematical optimization
  • Combinatoric algorithms

Numerical Mathematics

VORtech has a lot of expertise in numerical mathematics, which is often the basis of the mathematical models and programming codes we we deal with.

  • Finite difference methods, finite element methods, finite volume methods, boundary integral methods (discretization methods)
  • Implicit and explicit time integration, eigenvalue problems
  • Domain decomposition methods, adaptive refinement, multi-grid, sparse grids
  • Iterative solvers, preconditioning, direct (dense/sparse) matrix solvers

Software design and development methods

VORtech is specialized in designing and developing scientific software and uses different methods for this:

  • UML for designing object oriented applications
  • Agile/Scrum for developing applications
  • CI/CD for software management

Project management, quality assurance

VORtech is often involved in large complex projects. Carrying out good project management and quality management is essential.

  • Agile/Scrum
  • ISO9000
Interested?
If you think that VORtech can be of assistance for you, feel free to contact us. We'll be happy to come and meet you to see what we can offer.
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Computational software development

We provide a complete set of services for developing, optimising and refactoring software for simulation and computing. We also provide maintenance and consultancy.
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High Performance Computing

Performance is always an issue for computational software. Therefore, High Performance Computing (HPC) is a core capability of our scientific software engineers. Whether you aim for a multicore architecture, a GPU, a compute cluster or a cloud solution, we make the software as efficient as possible on the available hardware. We do this using a combination of smart programming, the right algorithms and tools like CUDA, OpenCL, OpenMP and MPI.
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Legacy Code: Treasure to Cherish, Pain to Maintain. Part 1

In our practice as scientific software engineers at VORtech, we work for organizations that have computational software as an essential part of their intellectual capital. If successful, a computational software package can exist for many years and even decades. At the same time however, the code base grows and becomes more and more difficult to manage. This is part 1 of a series of blogs in which we discuss how to deal with legacy code.
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