{"id":23771010,"url":"https://github.com/grindelfp/cuda-simple","last_synced_at":"2026-03-30T09:30:17.172Z","repository":{"id":263487681,"uuid":"890551716","full_name":"GrindelfP/cuda-simple","owner":"GrindelfP","description":"Test to compare execution time of multiplication of a two square matrices on CPU, on GPU and on CPU with optimization.","archived":false,"fork":false,"pushed_at":"2024-12-10T08:09:15.000Z","size":8,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-01T03:19:49.325Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":"Cuda","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/GrindelfP.png","metadata":{"files":{"readme":"README.adoc","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-11-18T19:10:20.000Z","updated_at":"2024-12-10T08:09:19.000Z","dependencies_parsed_at":"2024-11-19T06:06:51.876Z","dependency_job_id":null,"html_url":"https://github.com/GrindelfP/cuda-simple","commit_stats":null,"previous_names":["grindelfp/matrices-multiplication-test","grindelfp/cuda-simple"],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/GrindelfP%2Fcuda-simple","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/GrindelfP%2Fcuda-simple/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/GrindelfP%2Fcuda-simple/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/GrindelfP%2Fcuda-simple/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/GrindelfP","download_url":"https://codeload.github.com/GrindelfP/cuda-simple/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":239952639,"owners_count":19723924,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","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":[],"created_at":"2025-01-01T03:20:02.868Z","updated_at":"2026-03-30T09:30:17.104Z","avatar_url":"https://github.com/GrindelfP.png","language":"Cuda","funding_links":[],"categories":[],"sub_categories":[],"readme":"= Matrices multiplication test =\n\n== Description ==\n\nThis program is dedicated to compare execution time of multiplication \nof a two square matrices on CPU, on GPU and on CPU with optimisation such as \nmatrix B (for which A * B = C is performed) is transposed so multiplication \nis done row by row (not row by column) which speeds up execution on CPU.\n\nThe matrices A, B and C are squared matrices containing random floating point \nnumbers. \n\nThe programm prints result for each operation and two acceleration coefitients\ninto a console.\n\nThe program is completed via Visual Studio on Windows, but here is presented \nonly the sorce code file matrices-multiplication.cu, while executable file\nis stored in Release section of the repository.\n\nThe program prints two small 3x3 matrix and results from 3 different \ncalculations to shou that calculus is correct. \n\n== Program structure ==\n\nProgram source code is stored in a source code file matrices-multiplication.cu,\nwhich contain function\n\n* main - for execution of the program,\n* multiplyMatricesCPU - for multiplication of matrices on CPU,\n* multiplyMatricesGPU - for multiplication of matrices on GPU,\n* transposeMatrix - for generating a transposed matrix,\n* multiplyMatricesWithTransposeCPu - for multiplication of first and second\ntransposed matrix,\n* printMatrix - for printing the matrix in console.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgrindelfp%2Fcuda-simple","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgrindelfp%2Fcuda-simple","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgrindelfp%2Fcuda-simple/lists"}