Star-P Computation Engine

Star-P's computation engine consists of three key elements:

Data-Parallel Computations are for high-level matrix and vector operations on large data sets. Once a variable is tagged as parallel, through propagation related variables also become parallel. Functions on parallel variables are transparently "overloaded," or carried out by the data-parallel libraries.

Task-Parallel Computations are for carrying out many independent calculations in parallel, such as Monte Carlo simulations, or "un-rolling" serial FOR loops.

OpenConnect Library API Link enables you to extend the functionality of the Star-P compute engine based on your particular application and algorithm requirements.