Afzal Badshah, PhDBroadcast Communication in MPIIn MPI (Message Passing Interface), broadcast communication is a fundamental operation that allows one process to efficiently send data to…Jun 24, 2024Jun 24, 2024
Afzal Badshah, PhDIntroduction to Scatter Operation in MPIIn MPI (Message Passing Interface) programming, the scatter operation is a collective communication pattern used to distribute data from…Jun 24, 2024Jun 24, 2024
Afzal Badshah, PhDMonte Carlo Simulation: MPI4PyMonte Carlo simulations are a statistical technique that allows for solving problems through random sampling. They are widely used in…May 23, 2024May 23, 2024
Afzal Badshah, PhDMatrix Multiplication on Multiple Processors: MPI4PYWhen dealing with large-scale matrix multiplication, distributing the workload among multiple processors can significantly speed up the…May 9, 2024May 9, 2024
Afzal Badshah, PhDIn this tutorial, we’ll explore an MPI (Message Passing Interface) program using mpi4py to…CodeApr 6, 2024Apr 6, 2024
Afzal Badshah, PhDMPI with Python: Calculating Squares of Array Elements Using Multiple ProcessorsIn this lab tutorial, we will explore how to utilize multiple processors to compute the squares of elements in an array concurrently using…Apr 3, 2024Apr 3, 2024
Afzal Badshah, PhDBlocking and Non-blocking Communication in MPIIn parallel computing with MPI (Message Passing Interface), communication between processes plays a crucial role in achieving efficient…Mar 27, 20242Mar 27, 20242
Afzal Badshah, PhDRunning MPI4py on Jupyter Notebook — Step-by-Step GuideRunning MPI4py on Jupyter Notebook enables parallel computing within an interactive and user-friendly environment. This guide provides a…Mar 20, 2024Mar 20, 2024