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Tag: parallel computing

Blocking and Non-blocking Communication in MPI

Blocking and Non-blocking Communication in MPI

In parallel computing with MPI (Message Passing Interface), communication between processes plays a crucial role in achieving efficient parallelization of algorithms. Two common approaches to communication are blocking and non-blocking communication. You can visit the detailed tutorial on MPI with Python here. Blocking Communication Blocking communication involves processes halting their execution until the communication operation is complete. In MPI, blocking communication functions like comm.send() and comm.recv() ensure that the sender waits until the receiver receives the message, and vice versa….

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Shared and Distributed Memory in Parallel Computing

Shared and Distributed Memory in Parallel Computing

In parallel and distributed computing, memory management becomes crucial when dealing with multiple processors working together. Two prominent approaches exist: shared memory and distributed memory. This tutorial will delve into these concepts, highlighting their key differences, advantages, disadvantages, and applications. Visit the detailed tutorial on Parallel and Distributed Computing. Shared Memory Shared memory systems provide a single, unified memory space accessible by all processors in a computer. Imagine a whiteboard where multiple people can write and read simultaneously. Physically, the…

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Running MPI4py on Jupyter Notebook – Step-by-Step Guide

Running MPI4py on Jupyter Notebook – Step-by-Step Guide

Running MPI4py on Jupyter Notebook enables parallel computing within an interactive and user-friendly environment. This guide provides a step-by-step approach to setting up and executing MPI (Message Passing Interface) Python programs using MPI4py library in a Jupyter Notebook. Whether you’re operating on Windows or Ubuntu, this tutorial caters to users on both platforms. From installing the necessary components to executing MPI programs with multiple processors, each step is meticulously outlined to facilitate seamless integration and efficient utilization of MPI4py within…

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Technologies for Network-Based Systems (Parallel Computing)

Technologies for Network-Based Systems (Parallel Computing)

In today’s digital age, the seamless functionality of everyday technologies like smartphones and web applications relies on the intricate workings of network-based systems. Consider the scenario of streaming videos on platforms like YouTube – millions of users worldwide accessing diverse content simultaneously, each request seamlessly processed and delivered in real-time. Behind the scenes, this remarkable feat is made possible by network-based parallel computing, where multiple processors work collaboratively to handle a multitude of requests concurrently. Whether it’s searching for information,…

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Asynchronous and Synchronous Computation for Parallel Computing

Asynchronous and Synchronous Computation for Parallel Computing

Parallel and distributed computing are crucial paradigms in modern computing, enabling the efficient utilization of resources and the acceleration of computational tasks. Asynchronous and synchronous computation and communication are fundamental concepts in these paradigms, governing how tasks are executed and how data is exchanged among computing nodes. In this tutorial, we will delve into the concepts of asynchronous and synchronous computation and communication, their significance, advantages, and how they are applied in parallel and distributed computing environments. Understanding Asynchronous Computation…

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Historical Background and Evolution of Parallel and Distributed Computing

Historical Background and Evolution of Parallel and Distributed Computing

Parallel and distributed computing have revolutionized the way we process vast amounts of data and execute complex computations. This tutorial provides a detailed overview of their historical background and evolution, tracing their development from early beginnings to modern advancements. Early Foundations Emergence of Distributed Computing Supercomputing and Parallelism Rise of Cluster Computing Grid Computing and Collaboration Advent of Cloud Computing Edge Computing and IoT Quantum Computing and Future Frontiers The evolution of parallel and distributed computing has been marked by…

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Introduction to Parallel and Distributed Computing

Introduction to Parallel and Distributed Computing

Imagine you’re sitting at home, streaming your favourite videos on YouTube while millions of others across the globe are doing the same. Ever wondered how YouTube can handle such a massive load seamlessly? The answer lies in parallel and distributed computing. YouTube’s workload is distributed among servers worldwide, and within these servers, data is processed in parallel. This efficient distribution and parallel processing allow millions of users to enjoy YouTube’s content instantly, showcasing the power and effectiveness of parallel and…

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