Scale MATLAB & Simulink Codes without Limits
Techila Distributed Computing Engine allows running parallel MATLAB or Simulink computations at a massive scale, scaling to 10,000s CPU cores.
Contact usTechila Distributed Computing Engine allows running parallel MATLAB or Simulink computations at a massive scale, scaling to 10,000s CPU cores.
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Running parallel MATLAB® or Simulink® workloads in Techila Distributed Computing Engine can be done without any additional MATLAB or MATLAB 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 integrates seamlessly with your existing MATLAB® installation. Computations are automatically scaled to the cloud after tagging your code with the cloudfor-helper function.
Native MATLAB® APIs. Use cloudfor to easily parallelize computationally intensive loops.
Interactive result handling. Results streamed to your MATLAB®, giving you an accurate real-time view of the results.
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 time to market. To discuss your services requirements without obligation, please contact Techila Technologies.
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