Computer Science – Distributed – Parallel – and Cluster Computing
Scientific paper
2003-03-28
Proceedings of the ICCSA 2003 Conference
Computer Science
Distributed, Parallel, and Cluster Computing
Scientific paper
We present Matrix Distributed Processing, a C++ library for fast development of efficient parallel algorithms. MDP is based on MPI and consists of a collection of C++ classes and functions such as lattice, site and field. Once an algorithm is written using these components the algorithm is automatically parallel and no explicit call to communication functions is required. MDP is particularly suitable for implementing parallel solvers for multi-dimensional differential equations and mesh-like problems.
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