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dispy 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
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User Reviews
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5 out of 5 starsThis 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 !
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5 out of 5 starsAwesome project man
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5 out of 5 starsThanks, the good project
