Description
Parallel program is viewed as a collection of tasks that communicate by sending messages to each other through dependencies.
A task consists of an executable unit or a unit of computation (think of it as a program), together with its local memory and a collection of I/O ports. that can/should execute in parallel with other tasks.

A problem can be broken into multiple parts each part can be represented as a task, each task is a separate unit of work that can be independent or may take some dependencies from other tasks. task with dependencies may only start when all antecedents have completed. So in general the dependencies between tasks can be represented as a directed acyclic graph where tasks form the vertices edge are the dependencies between task.

Context
The goal of this project is to expose task parallism through the use of Python decorators, using some new functionalities in the latest OpenMP 5 specification