{"data":{"slug":"merrymercy-awesome-tensor-compilers","name":"awesome-tensor-compilers","tagline":"A list of awesome compiler projects and papers for tensor computation and deep learning.","github_url":"https://github.com/merrymercy/awesome-tensor-compilers","owner":"merrymercy","repo":"awesome-tensor-compilers","owner_avatar_url":"https://avatars.githubusercontent.com/u/15100009?v=4","primary_language":null,"stars":2762,"forks":327,"topics":["code-generation","compiler","deep-learning","high-performance-computing","machine-learning","programming-language","tensor"],"archived":false,"github_pushed_at":"2024-10-19T14:35:00+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/merrymercy-awesome-tensor-compilers","markdown_url":"https://www.graphcanon.com/tools/merrymercy-awesome-tensor-compilers.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/merrymercy-awesome-tensor-compilers","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=merrymercy-awesome-tensor-compilers","description":"A list of awesome compiler projects and papers for tensor computation and deep learning.","homepage_url":null,"license":null,"open_issues":4,"watchers":114,"ai_summary":null,"readme_excerpt":"### Cost Model\n- [TLP: A Deep Learning-based Cost Model for Tensor Program Tuning](https://arxiv.org/abs/2211.03578) by Yi Zhai et al., ASPLOS 2023\n- [An Asymptotic Cost Model for Autoscheduling Sparse Tensor Programs](https://arxiv.org/abs/2111.14947) by Peter Ahrens et al., PLDI 2022\n- [TenSet: A Large-scale Program Performance Dataset for Learned Tensor Compilers](https://datasets-benchmarks-proceedings.neurips.cc/paper/2021/hash/a684eceee76fc522773286a895bc8436-Abstract-round1.html) by Lianmin Zheng et al., NeurIPS 2021\n- [A Deep Learning Based Cost Model for Automatic Code Optimization](https://proceedings.mlsys.org/paper/2021/hash/3def184ad8f4755ff269862ea77393dd-Abstract.html) by Riyadh Baghdadi et al., MLSys 2021\n- [A Learned Performance Model for the Tensor Processing Unit](https://arxiv.org/abs/2008.01040) by Samuel J. Kaufman et al., MLSys 2021\n- [DYNATUNE: Dynamic Tensor Program Optimization in Deep Neural Network Compilation](https://openreview.net/forum?id=GTGb3M_KcUl) by Minjia Zhang et al., ICLR 2021\n- [MetaTune: Meta-Learning Based Cost Model for Fast and Efficient Auto-tuning Frameworks](https://arxiv.org/abs/2102.04199) by Jaehun Ryu et al., arxiv 2021\n- [Expedited Tensor Program Compilation Based on LightGBM](https://iopscience.iop.org/article/10.1088/1742-6596/2078/1/012019) by Gonghan Liu1 et al., JPCS 2021","github_created_at":"2020-06-18T20:27:47+00:00","created_at":"2026-07-11T23:39:14.128055+00:00","updated_at":"2026-07-11T23:39:23.912202+00:00","categories":[{"slug":"evaluation-observability","name":"Evaluation & Observability","url":"https://www.graphcanon.com/categories/evaluation-observability","markdown_url":"https://www.graphcanon.com/categories/evaluation-observability.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/evaluation-observability"}],"tags":[{"slug":"code-generation","name":"code-generation"},{"slug":"compiler","name":"compiler"},{"slug":"deep-learning","name":"deep-learning"},{"slug":"high-performance-computing","name":"high-performance-computing"},{"slug":"machine-learning","name":"machine-learning"},{"slug":"programming-language","name":"programming-language"},{"slug":"tensor","name":"tensor"}],"trust":{"provenance":{"is_fork":false,"github_id":273333711,"owner_type":"User","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-07-11T23:39:20.247Z","maintenance":{"label":"Dormant","score":18,"methodology":"github_public_v1","releases_90d":0,"days_since_push":630,"last_release_at":null},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T23:39:20.625Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-07-11T23:39:20.010Z"}}}}