Downloaddispy is a generic and comprehensive, yet easy to use framework for creating and using compute clusters to execute computations in parallel across multiple processors in a single machine (SMP), among many machines in a cluster, grid or cloud. dispy is well suited for data parallel (SIMD) paradigm where a computation (Python function or standalone program) is evaluated with different (large) datasets independently.
dispy supports public / private / hybrid cloud computing, fog / edge computing.
Features
- Distributed Computing, Parallel Processing
- Concurrent Programming with Asynchronous (non-blocking) Sockets and Coroutines
- epoll, kqueue, devpoll, poll, I/O Completion Ports
- Cloud Computing
- Fog Computing / Edge Computing
Project Samples
License
MIT LicenseFollow dispy
You Might Also Like
Deploy Red Hat Ansible Automation Platform on Microsoft Azure for a strategic automation solution that allows you to orchestrate, govern and operationalize your Azure environment.
Rate This Project
Login To Rate This Project
User Reviews
There are no 5 star reviews.