{"id":20196429,"url":"https://github.com/sohhamseal/scalable-systems-programs","last_synced_at":"2026-04-18T14:02:27.425Z","repository":{"id":214530709,"uuid":"730108439","full_name":"SohhamSeal/Scalable-Systems-Programs","owner":"SohhamSeal","description":"A little less effort to learn parallel programming...","archived":false,"fork":false,"pushed_at":"2023-12-28T19:01:50.000Z","size":10,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-10-29T23:48:31.732Z","etag":null,"topics":["cuda","mpi","openmp"],"latest_commit_sha":null,"homepage":"","language":"C","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/SohhamSeal.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null}},"created_at":"2023-12-11T08:18:24.000Z","updated_at":"2024-01-02T18:12:30.000Z","dependencies_parsed_at":"2023-12-28T19:38:38.411Z","dependency_job_id":"308768a9-3a96-4ef1-93fd-18ee0ef9b54a","html_url":"https://github.com/SohhamSeal/Scalable-Systems-Programs","commit_stats":null,"previous_names":["sohhamseal/scalable-systems-programs"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/SohhamSeal/Scalable-Systems-Programs","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SohhamSeal%2FScalable-Systems-Programs","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SohhamSeal%2FScalable-Systems-Programs/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SohhamSeal%2FScalable-Systems-Programs/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SohhamSeal%2FScalable-Systems-Programs/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/SohhamSeal","download_url":"https://codeload.github.com/SohhamSeal/Scalable-Systems-Programs/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SohhamSeal%2FScalable-Systems-Programs/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31971490,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-18T00:39:45.007Z","status":"online","status_checked_at":"2026-04-18T02:00:07.018Z","response_time":103,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["cuda","mpi","openmp"],"created_at":"2024-11-14T04:24:05.118Z","updated_at":"2026-04-18T14:02:22.399Z","avatar_url":"https://github.com/SohhamSeal.png","language":"C","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Scalable-Systems-Programs\n### Parallel Programming Examples Repository\n\nWelcome 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.\n\n## Scalable Systems\n\nScalable 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.\n\n\n## MPI (Message Passing Interface)\n\n[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.\n\n### MPI Programs\n- **Maximum of all array elements**\n- **Maximum and Minimum of array elements**\n- **Generate and display a Histogram**\n- **Use the trapezoidal rule to calculate the approximate integral value**\n\n\n## OpenMP\n\n[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.\n\n### OpenMP Programs\n- **Maximum and Minimum of array elements**\n- **Use the trapezoidal rule to calculate the approximate integral value**\n- **Calculate the approxmate pi value using definite integral**\n- **Multiply a matrix with a vector**\n- **Tokenize the provided string as input**\n\n  \n## CUDA\n\n[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).\n\n### CUDA Programs\n- **Vector Addition**\n- **Matrix Addition**\n- **Matrix Multiplication**\n\n\n## Usage\n\nEach 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.\n\nFeel free to explore, learn and contribute to this repository. Happy coding!\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsohhamseal%2Fscalable-systems-programs","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsohhamseal%2Fscalable-systems-programs","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsohhamseal%2Fscalable-systems-programs/lists"}