Characteristics of Tasks and Interaction
Tasks and interaction are two fundamental concepts in parallel computing systems. Here are some of the characteristics of tasks and interaction:
- Granularity: Tasks can be coarse-grained or fine-grained, depending on the size of the work unit.
- Data Dependencies: Tasks can have data dependencies, which can restrict the order in which they can be executed.
- Load Balance: Tasks can have different amounts of computational workload, which can affect the load balance between processors.
- Synchronization: Tasks can require synchronization points to ensure that their execution is coordinated with other tasks.
- Communication Patterns: Interaction can have different communication patterns, such as point-to-point communication or collective communication.
- Communication Costs: Interaction can have different communication costs, which can affect the overall performance of the system.
- Synchronization: Interaction can require synchronization to ensure that tasks are executed in the correct order and that data dependencies are satisfied.
- Overhead: Interaction can incur overhead due to communication and synchronization, which can affect the overall performance of the system.
Overall, the characteristics of tasks and interaction are important considerations when designing and implementing parallel computing applications. The goal is to optimize the use of available hardware resources while minimizing the impact of communication and synchronization on overall performance.How to Build a Flask CRUD Web App: A Comprehensive Guide with Code Examples and Best Practices | NileshBlog(Opens in a new browser tab)