High Performance Cluster [ Automations ]
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Updated
Aug 16, 2017 - C
High Performance Cluster [ Automations ]
In this Project, I implemented Major Functions From Scratch. The MPI standard defines the syntax and semantics of library routines that are useful to a wide range of users writing portable message-passing programs in C, C++
A C-MPI parallel program that receives on an array X as input, returns its average, its variance and a new array based on: d[i]=((X[i]-min(X))/(max(X)-min(X))*100.
The following program is a parallel matrix multiplication algorithm that employs 2D partitioning of the work between the processing nodes. It uses standard MPI functions to accomplish the task. This program is a part of my college assignment in multiprocessor systems course.
The following is a parallel version of SOR Algorithm for solving Laplace Approximation. It uses standard MPI functions to accomplish the task. This program is also a part of my college assignment in multiprocessor systems course.
General matrix multiplication optimized in four different ways for Raspberry Pi clusters
📨 Several problems and their solutions in distributed systems area, solved using MPI
An MPI based implementation of K-NN search algorithm, aimed for use on CPU clusters.
Cannon Algorithm Implementation for matrix multiplication using MPI
SUNDIALS: For those starting to learn to use the CVODE package. Also contains examples regarding more complex development with SUNDIALS libraries.
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