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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

Monitor Cluster Status Manage Cluster Node Information / Manage Jobs

Project Activity

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