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We use the standard message passing library, message passing interface (MPI) for any MIMD systems.
In order to facilitate programmability, the proposed extensions are used by a message passing library, allowing programs to take advantage of them transparently.
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Today, parallel programming is dominated by message passing libraries, such as message passing interface (MPI).
This method is independent of underlying computer architecture and message passing libraries.
A Newton Krylov iterative method (GMRES) solves the final systems of linear equations along with a domain decomposition strategy for parallel computation using message passing libraries in a distributed memory system.
This paper presents an automatic and scalable fault tolerant model designed to be transparent for applications and for message passing libraries.
It includes support for a large range of message passing libraries as well as for almost arbitrary shared memory programming models.
The method can also be implemented just by changing the software inside their message passing libraries without any support from the underlying system software or hardware.
Developed with the standard message-passing library, MPI, the program can be recompiled and run on any MIMD systems.
The parallel implementation presented here focuses on the distributed-memory approach using the message-passing library MPI.
The code is based on the Barnes–Hut algorithm and runs cosmological N-body simulations on parallel machines with a distributed memory architecture using the MPI message-passing library.
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