Advanced Scalable Decomposition Method with MPICH Environment for HPC

MPI (Message Passing Interface) has been effectively used in the high performance computing community for years and is the main programming model. The MPI is being widely used to developed parallel programs on computing system such as clusters. The major component of high performance computing (HPC) environment MPI is becoming increasingly prevalent. MPI implementations typically equate an MPI process with an OS-process, resulting in decomposition technique where MPI processes are bound to the physical cores. It integrated approach makes it possible to add more concurrency than available parallelism, while minimizing the overheads related to context switches, scheduling and synchronization. Fiber is used by it to support multiple MPI processes inside an operating system process. There are three widely used MPI libraries, including OPENMPI, MPICH2 and MVAPICH2. This paper works on the decomposition techniques and also integrates the MPI environment with using MPICH2.