dispy is a 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.
- Distributed Computing, Parallel Processing
- Concurrent Programming with Asynchronous (non-blocking) Sockets and Coroutines
- epoll, kqueue, devpoll, poll, I/O Completion Ports
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This project is just great, the learning curve of the library is smooth and you can easily deploy it for your needs onlocal network or cloud platform (Azure, EC2...) We are using this library for civil engineering computation and it performs well on cloud cluster, thanks to the scheduler and the shared job model. The MIT licence is great and Giridhar is of a great help for support and deployment problem. We got great expectations for this project in 2016, keep up the good work !
Awesome project man