https://github.com/sohhamseal/scalable-systems-programs

A little less effort to learn parallel programming...
https://github.com/sohhamseal/scalable-systems-programs

cuda mpi openmp

Last synced: 26 days ago
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A little less effort to learn parallel programming...

• Host: GitHub
• URL: https://github.com/sohhamseal/scalable-systems-programs
• Owner: SohhamSeal
• Created: 2023-12-11T08:18:24.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2023-12-28T19:01:50.000Z (about 1 year ago)
• Last Synced: 2024-11-14T04:28:26.983Z (3 months ago)
• Topics: cuda, mpi, openmp
• Language: C
• Homepage:
• Size: 9.77 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Scalable-Systems-Programs

### Parallel Programming Examples Repository

Welcome to the Parallel Programming Examples repository! This repository provides hands-on examples and programs related to scalable systems and parallel programming in C. The examples cover parallel programming using OpenMP, MPI and CUDA.

## Scalable Systems

Scalable systems refer to computer systems that can efficiently handle a growing amount of work, providing increased performance as resources are added. This section provides an overview of scalable systems and key concepts.

## MPI (Message Passing Interface)

[MPI](https://www.mpi-forum.org/) is a standard for writing parallel programs that perform message passing. It is widely used for distributed-memory systems and high-performance computing.

### MPI Programs

- **Maximum of all array elements**

- **Maximum and Minimum of array elements**

- **Generate and display a Histogram**

- **Use the trapezoidal rule to calculate the approximate integral value**

## OpenMP

[OpenMP](https://www.openmp.org/) is an API that supports multi-platform shared-memory parallel programming in C, C++, and Fortran. It is widely used for parallelizing code to take advantage of multi-core processors.

### OpenMP Programs

- **Maximum and Minimum of array elements**

- **Use the trapezoidal rule to calculate the approximate integral value**

- **Calculate the approxmate pi value using definite integral**

- **Multiply a matrix with a vector**

- **Tokenize the provided string as input**

  

## CUDA

[CUDA](https://developer.nvidia.com/cuda-zone) is a parallel computing platform and programming model developed by NVIDIA for general computing on their GPUs (Graphics Processing Units).

### CUDA Programs

- **Vector Addition**

- **Matrix Addition**

- **Matrix Multiplication**

## Usage

Each language-specific folder contains a set of easy-to-understand and popular parallel programming examples. Navigate to the respective folders for detailed instructions and code.

Feel free to explore, learn and contribute to this repository. Happy coding!