Introduction to Parallel Machines: In today’s digital era, parallel computing has revolutionized the way machines process data. By dividing tasks into smaller subtasks that run simultaneously, parallel computing contrasts with the step-by-step approa...
Introduction Welcome back to our blog series on parallel computing using MPI and C++. In the previous posts, we covered various aspects of MPI programming, including parallel computing fundamentals, collective communication operations, sending/receiv...
Introduction Welcome to the fifth part of our blog series on parallel computing using MPI and C++. In the previous posts, we covered various aspects of MPI programming, including parallel computing fundamentals, collective communication operations, a...
Introduction Welcome back to our blog series on parallel computing using MPI and C++. In the previous posts, we covered the basics of parallel computing, introduced MPI programming concepts, and explored collective communication operations in MPI. In...
Introduction Welcome back to our blog series on parallel computing using MPI and C++. In the previous posts, we introduced the fundamentals of parallel computing, MPI, and the basics of MPI programming. In this third installment, we will delve into c...
Introduction Welcome back to our blog series on parallel computing using MPI and C++. In the previous post, we introduced the fundamentals of parallel computing, MPI, and the importance of parallel computing in today's data-driven world. In this seco...
In the Previous Blog, we already highlighted various factors on the basis of which we should decide what technique to use. In this series of blog posts, we will explore the basics of parallel computing using MPI and C++. We will start by understandin...
Parallel computing is the use of multiple processors or computers to solve a computational problem simultaneously. The technique has become increasingly popular as a means of accelerating the performance of computationally intensive tasks, such as si...
MPI is the de-facto standard in the world of high-performance computing (HPC), and it can be a bit intimidating to learn at first. Julia is well-suited for HPC and it's quite easy to get up and running with MPI, thanks to the open source contribution...
Problem Statement: To demonstrate the various types of parallel computing operations. How can I use MPI to parallelize a Python code? Category of the problem: Technical : MPI Hands-On - mpi4py Objectives: Objectives Learn how to prepare an environ...
