Scale MATLAB & Simulink Codes without Limits
Techila Distributed Computing Engine allows MATLAB and Simulink computational workloads to scale to 10,000s of CPU cores to massively reduce time to results.
Contact usTechila Distributed Computing Engine allows MATLAB and Simulink computational workloads to scale to 10,000s of CPU cores to massively reduce time to results.
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Run parallel MATLAB® or Simulink® at extreme scale using Techila DCE without the need for further MATLAB, Simulink or Parallel Server licenses.
Techila Distributed Computing Engine supports flexible capacity scaling. You can increase or decrease the amount of compute capacity without interrupting your computations.
Techila Distributed Computing Engine does not rely on MPI, meaning spot capacity can be used to greatly reduce cloud infrastructure costs.
Techila Distributed Computing Engine toolbox integrates seamlessly with your existing MATLAB® installation. Computations are automatically scaled to the cloud by tagging your code with the cloudfor-helper function.
Native MATLAB® APIs. Use cloudfor to easily parallelize computationally intensive loops.
Interactive result handling. Results are streamed to your MATLAB® giving you an accurate real-time view of the computation.
Automatic dependency packaging. Everything needed to run your code is automatically transferred to the cloud.
Techila Technologies’ expert engineers can help you to deploy our high throughput middleware into your production workflows and application environment. This ensures your solution goes live quickly, maximising your productivity and minimising time to market. To discuss your services requirements without obligation, please contact Techila Technologies.
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