Your IP: Unknown · Your Status: ProtectedUnprotectedUnknown
Massively parallel processing

Massively parallel processing

(also MPP)

Massively parallel processing definition

Massively parallel processing is a method of computer processing that uses many separate processors to perform a set of coordinated computations simultaneously.

Unlike traditional computing that relies on a few processors, MPP systems include hundreds or thousands of processors, each working on a different part of a computing task. This approach is practical for large-scale data processing tasks and complex computational problems, where dividing the workload across many processors significantly speeds up processing time.

See also: parallel processing, artificial intelligence, machine learning

Usage of massively parallel processing

  • Science. Scientific simulations (climate modeling, astrophysical simulations, molecular modeling, etc.) extensively use MPP.
  • Big data analytics. MPP helps quickly analyze large datasets in areas of business intelligence, financial analysis, or social networks.
  • Genomics and bioinformatics. Genomics requires the processing of massive datasets to understand genetic structures.
  • AI. Developers use MPP to train complex machine-learning models.
  • Weather forecasting. Weather prediction models and environmental simulations rely on MPP for timely and accurate forecasting.
  • Financial modeling. High-frequency trading algorithms, risk management, and real-time analytics require MPP to process large volumes of financial data quickly.
  • Image and signal processing. MPP greatly benefits spheres like medical imaging, video processing, and signal processing.
  • Database management. Large-scale database systems and transaction processing systems in enterprise environments use MPP to handle large numbers of simultaneous transactions.
  • Government and Defense. MPP provides the necessary computational power for national security, surveillance, and cryptography.

Further reading

Ultimate digital security

We value your privacy

This website uses cookies to provide you with a safer and more personalized experience. By accepting, you agree to the use of cookies for ads and analytics, in line with our Cookie Policy.