Message Passing Interface (MPI) is a standardized and portable system for building distributed applications to run on parallel computing systems.
15
votes
2answers
882 views
Eratosthenes sieve and MPI
I wrote this sieve of Eratosthenes with MPI, but I'm not sure if it's good enough. Should I use MPI_Scatter and MPI_Gather ...
8
votes
2answers
843 views
Mandelbrot fractal with MPI
I'm not very familiar with MPI. I've written this little piece of code to draw the Mandelbrot fractal processing each row of the image in parallel. It works but it's really slow. I've written code to ...
5
votes
0answers
33 views
Positioning a file pointer with MPI I/O
This toy code uses MPI I/O to read from a binary file.
It goes through reading:
an ASCII header
the first 10 doubles from an array of 100 ...
5
votes
0answers
148 views
Gauss-Seidel+SOR
I am learning OpenMP+MPI hybrid programming. As an example I have chosen Gauss-Seidel+SOR. My implementation uses MPI_THREAD_FUNNELED style hybrid programming, ...
4
votes
2answers
135 views
Efficient communication across multiple processors for finite elements
I am implementing finite element code using MPI. Obviously, when using MPI I will have to include communication between different nodes so that all processors have all relevant information. As this is ...
2
votes
0answers
44 views
MPI BMP image comparison
I made a simple program in which I compare two images pixel by pixel and determine if the pictures are the same. I'm trying to adapt it to MPI, but I'm afraid that the communications are taking too ...
2
votes
0answers
54 views
Microcast algorithm
Following is the main file in the project (executing tasks). It uses the mpi4py module, and multiple processes execute the same code. Please review the code and ...
1
vote
2answers
161 views
Monte Carlo Pi with R + Fortran + MPI
I created a R package to calculate Pi with a Monte Carlo simulation.
My goal is to optimize the parallel function SnowPi as much as possible. This is the ...
0
votes
1answer
41 views
Python for HPC: Parse file, generate statistics, record output
I have a program which is designed to be highly parallelizable. I suspect that some processors are finishing this Python script sooner then other processors, which would explain behavior I observe ...
