{"id":23534993,"url":"https://github.com/gama1903/cuda_programming","last_synced_at":"2025-11-01T00:30:27.781Z","repository":{"id":269724151,"uuid":"908235031","full_name":"Gama1903/cuda_programming","owner":"Gama1903","description":"Practice of cuda programming","archived":false,"fork":false,"pushed_at":"2025-01-01T06:15:49.000Z","size":36017,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-17T06:13:08.067Z","etag":null,"topics":["cuda","parallel-computing"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","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/Gama1903.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,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-12-25T14:29:14.000Z","updated_at":"2025-01-08T11:55:55.000Z","dependencies_parsed_at":"2024-12-25T17:27:40.948Z","dependency_job_id":null,"html_url":"https://github.com/Gama1903/cuda_programming","commit_stats":null,"previous_names":["gama1903/cuda_programming"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Gama1903%2Fcuda_programming","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Gama1903%2Fcuda_programming/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Gama1903%2Fcuda_programming/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Gama1903%2Fcuda_programming/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Gama1903","download_url":"https://codeload.github.com/Gama1903/cuda_programming/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":239242112,"owners_count":19605954,"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":["cuda","parallel-computing"],"created_at":"2024-12-26T01:14:07.925Z","updated_at":"2025-11-01T00:30:27.728Z","avatar_url":"https://github.com/Gama1903.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# CUDA Programming\n\n## Introduction\nPractice of cuda programming.\n\n## Reference\n1. Book: [Programming Massively Parallel Processors 4th(PMPP)](/Programming%20Massively%20Parallel%20Processors-%20A%20Hands-on%20--%20Wen-mei%20W_%20Hwu,%20David%20B_%20Kirk,%20Izzat%20El%20Hajj,%20Ph_D_%20--%204th,%202023%20--%20Morgan%20Kaufmann.pdf)\n2. Lecture: [CUDA MODE](https://github.com/cuda-mode/lectures)\n3. https://github.com/heyuhhh/Programming-Massively-Parallel-Processors-4th\n\n## Requirement\n1. python==3.8\n2. torch==2.0.0+cu118\n3. torchaudio==2.0.1+cu118\n4. torchvision==0.15.1+cu118\n5. ninja==1.11.1.3\n6. setuptools==60.2.0\n7. ipykernel==6.29.5\n\n## Index\n1. [L001_How_to_profile_cuda_kernels_in_pytorch](L001_How_to_profile_cuda_kernels_in_pytorch/index.md)\n2. [Ch02_Heterogeneous_data_parallel_computing](Ch02_Heterogeneous_data_parallel_computing/index.md)\n3. [L002_Ch1-3_PMPP_book](L002_Ch1-3_PMPP_book/index.md)\n4. [Ch03_Multidimensional_grids_and_data](Ch03_Multidimensional_grids_and_data/index.md)\n5. [L003_Get_started_with_cuda_for_python_programmer](L003_Get_started_with_cuda_for_python_programmer/index.md)\n6. [L004_Compute_and_memory_basics](L004_Compute_and_memory_basics/index.md)\n7. [L005_Going_futher_with_cuda_for_python_programmer](L005_Going_futher_with_cuda_for_python_programmer/index.md)\n8. [Ch04_Compute_architecture_and_scheduling](Ch04_Compute_architecture_and_scheduling/index.md)\n9. [Ch05_Memory_architecture_and_data_locality](Ch05_Memory_architecture_and_data_locality/index.md)\n10. [L006_Optimizing_opitimizers](L006_Optimizing_opitimizers/index.md)\n11. [L007_Advanced_quantization](L007_Advanced_quantization/index.md)\n12. [L008_Cuda_performance_checklist](L008_Cuda_performance_checklist/index.md)\n13. [Ch06_Performance_considerations](Ch06_Performance_considerations/index.md)\n14. [Ch07_Convolution](Ch07_Convolution/index.md)\n15. [Ch08_Stencil](Ch08_Stencil/index.md)\n16. [L009_Reductions](L009_Reductions/index.md)\n17. [Ch10_Reduction](Ch10_Reduction/index.md)\n18. [L011_Sparsity](L011_Sparsity/index.md)\n19. [Ch14_Sparse_matrix_computation](Ch14_Sparse_matrix_computation/index.md)\n20. [L012_Flash_attenion](L012_Flash_attention/index.md)\n21. [L013_Ring_attention](L013_Ring_attention/index.md)\n22. [L014_Practitioners_guide_to_triton](L014_Practitioners_guide_to_triton/index.md)\n23. [L015_CUTLASS](L015_CUTLASS/index.md)\n24. [L016_On_hands_profiling](L016_On_hands_profiling/index.md)\n25. [L018_Fusing_kernels](L018_Fusing_kernels/index.md)\n26. [L020_Scan_algorithm](L020_Scan_algorithm/index.md)\n27. [L021_Scan_algorithm_part2](L021_Scan_algorithm_part2/index.md)\n28. [Ch11_Scan](Ch11_Scan/index.md)","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgama1903%2Fcuda_programming","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgama1903%2Fcuda_programming","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgama1903%2Fcuda_programming/lists"}