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Nowadays, high performance computing is becoming more and more important indifferent fields research and industry, such as medical imaging anddiagnostics, mathematics as well as oil exploration. It refers to intensivecomputing in some applications where one needs to use a large number ofcomputing resources (computing power, memory rate, storage space, etc.). Thus,it is necessary in this case to run these applications on architecturesparallel making multiple computers work together and running over 10 operationsat floating point per second (or a petaflops). 15 Parallel computation consistsof executing one or more programs, simultaneously, by multiple processors. Ingeneral, we have two ways to perform a parallel calculation. The first is tocut the program into several calculation tasks then, run all these parallelspots by different processors. The second requires partitioning the data, sothat each part of the data is assigned to a different processor. Then, all theprocessors run the instructions of the same program in parallel but byoperating on different data . This last method, called parallelism of data, isthat retained in this memory. Digital analysis is one of the areas where theuse of platforms is essential parallel, in particular, in the case wherenumerical methods treat hollow matrices. This last method, called parallelismof data, is that retained in this memory. Digital analysis is one of the areaswhere the use of platforms is essential parallel, in particular, in the casewhere numerical methods treat hollow matrices. A hollow matrix is a very largematrix that contains a small proportion non-zero elements. These matrices cancome from different domains such as simulation structural mechanics, image /signal processing, the study of the dynamics of fluids etc.

Etude de la Distribution de Calculs Creux sur une Grappe Multi-coeurs