Provide support for distributed-memory parallelization

Description

The Blaze library already supports three different kinds of shared-memory parallelization: OpenMP, C++11 threads, and Boost threads. So far, however, it doesn't support distributed-memory parallelization. In order to provide full flexibility and to enable tasks that are beyond shared-memory parallelization Blaze should also support distributed memory parallelization.

The implementation of the distributed-memory parallelization must ...

... allow for different distributed-memory parallelization paradigms (MPI, HPX, ...)
... be as efficient as possible (i.e. no overhead due to Blaze data structures)
... be compatible to all vector and matrix types
... be as transparent as possible for a user of Blaze
... be as easy to use as possible for a user of Blaze

Tasks

extend the user interface to express distributed vectors and matrices
build the architecture to support any distributed-memory parallelization paradigm
implement the backend to perform distributed computations
provide a complete documentation of the feature
ensure full compatibility to all existing vector and matrix types
guarantee maximum performance of the implementation
run all test cases with the distributed-memory parallelization

Description

Tasks

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