docs/optimization/improve-parallelism/self.md

Improve parallelism

This guide introduces the different options for parallelism in Torus and how to utilize them to improve the execution time of Torus circuits.

Modern CPUs have multiple cores to perform computation and utilizing multiple cores is a great way to boost performance.

There are two kinds of parallelism in Torus:

• Loop parallelism to make tensor operations parallel, achieved by using OpenMP
• Dataflow parallelism to make independent operations parallel, achieved by using HPX

Loop parallelism is enabled by default, as it's supported on all platforms. Dataflow parallelism however is only supported on Linux, hence not enabled by default.