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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.

MassiveJava is a Java-based environment for parallel programming. Lithium is able to execute the parallel application using a cluster or a network of workstations. A user is able to program a parallel application without take in account problem like sche

Chor is a strongly-typed choreography programming language for distributed systems. In Chor, the behaviour of a system is written down as a global program (a choreography) where all the message exchanges between the participants are explicit. Choreographies are statically checked against protocol specifications, given as types, enabling type-directed global programming. Finally, Chor supports the automatic generation of systems from a choreography.