Determine the frequency of different amino acid sequences in protein-protein interactions using a distributed memory parallelised computing environment with hyper-threading

Hot potato game project, with coordinator node and slaves. Technologies and languages used: MPI in Python. University, Distributed Systems.

Jespipe: A Plugin-Based, Open MPI Framework for Adversarial Machine Learning Analysis.

Parallel Programming with Python

Project to read logs of DDoS attacks, with coordinator node and slaves. Technologies and languages used: MPI in Python. University, Distributed systems. Final Project.

background image subtraction using mpi4py and cv2

MPI app for Computer Structure II Class at Universidad del Norte.

Examples of concurrent and parallel programming in python

Python MPI implementation

A distributed computing entry project using a 15 node cluster to perform parallel computing, processing large files that would take a lengthy period of time to process serially.

Parallel algorithm for a game called “Lord of the Processors: The Two Towers” using the Python MPI library.

The language distribution of Tweet

Code for term project of High Performance Computing for Engineering Applications (AM5080) course taken at IIT Madras during Jan-May 2023

Paralelización del proyecto secuencial haciendo uso del protocolo de MPI.

I developed a Leaf Disease Detection system using image processing techniques and tried to improve its performance using a MPI Cluster by using 2 Virtual Machines. In this project a performance analysis is also done to know about how much the speedup takes place when the system is run on a single node (1 VM) and on a 2-node cluster (2 VMs). I ha…

dccp is a simple python package that implements DiPOA algorithm.

🎓 My labs from ITMO; Dis - PAASD

A serial, parallel and vectorised version of PLDM dynamics has been implemented. The serial version uses numba to get speedup of a compiled language. The parallel version uses mpi4py to utilise the multiprocessing capability of HPC clusters. The vectorised version uses a wide variety of GPU libraries (cuda, cupy, pytorch) to highly vectorise PLDM.

Python MPI Gauss–Seidel method

并行与分布式实验