{"id":19387414,"url":"https://github.com/mitmath/18s096","last_synced_at":"2025-04-07T08:19:37.606Z","repository":{"id":73036853,"uuid":"78145983","full_name":"mitmath/18S096","owner":"mitmath","description":"18.S096 three-week course at MIT","archived":false,"fork":false,"pushed_at":"2023-03-25T06:33:58.000Z","size":17821,"stargazers_count":260,"open_issues_count":0,"forks_count":52,"subscribers_count":28,"default_branch":"master","last_synced_at":"2025-03-31T06:06:40.453Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","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/mitmath.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.md","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":"2017-01-05T20:30:43.000Z","updated_at":"2025-02-22T05:49:13.000Z","dependencies_parsed_at":"2023-04-27T04:17:29.470Z","dependency_job_id":null,"html_url":"https://github.com/mitmath/18S096","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mitmath%2F18S096","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mitmath%2F18S096/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mitmath%2F18S096/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mitmath%2F18S096/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mitmath","download_url":"https://codeload.github.com/mitmath/18S096/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247615385,"owners_count":20967184,"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":"2024-11-10T10:09:08.911Z","updated_at":"2025-04-07T08:19:37.577Z","avatar_url":"https://github.com/mitmath.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 18.S096, IAP 2018: Performance Computing in a High Level Language\n\n* See also [18.S096 in IAP 2017](https://github.com/stevengj/18S096/tree/iap2017).\n\nThis is the repository for course materials of the class [18.S096 at MIT in 2018](http://math.mit.edu/academics/iap.php), including problem sets and lecture materials.   Lectures by Steven G. Johnson (SGJ), Alan Edelman (AE), and others.\n\n* Lecture 1: [course overview](lectures/lecture1/Course-overview.pdf), [performance variation](lectures/lecture1/Performance-variation.ipynb), [boxes and registers](lectures/lecture1/Boxes-and-registers.ipynb)\n\n  - See also [this video lecture for 6.172 at MIT](https://www.youtube.com/watch?v=6JcMuFgnA6U), which covered the notebooks of lectures 1 and 2.\n\n* Lecture 2: [code specialization](lectures/lecture2/Code-specialization.ipynb), [array concepts](lectures/lecture2/Getting%20started,%20working%20with%20matrices.ipynb)\n    - also [pset 1](psets/pset1.ipynb), due next Monday night.\n\n* Lab 1: Julia basics.\n\n* Lecture 3: [type stability](lectures/lecture3/Type-stability.ipynb)\n\n* Lecture 4: vectorization (see the [\"More Dots\" blog post](https://julialang.org/blog/2017/01/moredots) and the [vectorization notebook](lectures/lecture4/Vectorization.ipynb)); memory and locality (see [slides](lectures/lecture4/memory.pdf) and [notebook](lectures/lecture4/memory-matrices.ipynb))\n\n* Lecture 5: [parallelism notebook](lectures/lecture5/Parallelism.ipynb) (Valentin Churavy)\n\n* Lab 2: [in-place transposition exercise](lectures/other/Transposition.ipynb)\n    - also [pset 2](psets/pset2.ipynb), due next Wednesday.\n    \n* Lecture 6: [types and dispatch](lectures/lecture6/Types%20and%20Dispatch.ipynb) (Jeff Bezanson)\n\n* Lecture 7: [metaprogramming](lectures/lecture7/Metaprogramming.ipynb) (Jeff Bezanson)\n\n* Lecture 8: Automatic Differentiation\n\n* Lecture 9: Choice of Labs\n\n* Lecture 10: Parallel Prefix\n\nThese materials are free/open-source under the [MIT/expat license](LICENSE.md).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmitmath%2F18s096","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmitmath%2F18s096","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmitmath%2F18s096/lists"}