{"id":21169479,"url":"https://github.com/smarr/selfopt-interp-performance","last_synced_at":"2025-07-09T19:31:37.355Z","repository":{"id":16276214,"uuid":"19024586","full_name":"smarr/selfopt-interp-performance","owner":"smarr","description":"A reporting project on the performance of self-optimizing interpreters","archived":false,"fork":false,"pushed_at":"2015-12-05T16:26:37.000Z","size":1627,"stargazers_count":16,"open_issues_count":0,"forks_count":3,"subscribers_count":1,"default_branch":"master","last_synced_at":"2023-03-11T16:55:11.926Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Shell","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/smarr.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}},"created_at":"2014-04-22T09:46:23.000Z","updated_at":"2022-09-13T14:43:26.000Z","dependencies_parsed_at":"2022-09-14T11:42:17.666Z","dependency_job_id":null,"html_url":"https://github.com/smarr/selfopt-interp-performance","commit_stats":null,"previous_names":[],"tags_count":2,"template":null,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/smarr%2Fselfopt-interp-performance","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/smarr%2Fselfopt-interp-performance/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/smarr%2Fselfopt-interp-performance/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/smarr%2Fselfopt-interp-performance/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/smarr","download_url":"https://codeload.github.com/smarr/selfopt-interp-performance/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":225581522,"owners_count":17491733,"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":"2024-11-20T15:30:28.252Z","updated_at":"2024-11-20T15:31:11.548Z","avatar_url":"https://github.com/smarr.png","language":"Shell","funding_links":[],"categories":[],"sub_categories":[],"readme":"Self-Optimizing Interpreters\n============================\n\nThis repository contains all the necessary bits and pieces for an evaluation\nof different ideas around self-optimizing interpreters.\n\nCurrently, the evaluation focusses on the following aspects:\n\n - _partial evaluation vs. meta-tracing_  \n   What are the tradeoffs with respect to engineering effort and performance?\n\n - _optimization techniques and their benefits_  \n   There a number of common patterns used for self-optimizing interpreters, \n   and we are interested in which concrete impact they have on performance.\n\n - _pure interpretation_  \n   While peek-performance is one relevant criterion, startup time, \n   and pure interpretation speed are relevant in a number of scenarios as well.\n   Thus, we are interested in the impact of the various optimizations on \n   interpretation speed.\n\n - _the future_  \n   Which new and powerful language features could self-optimizing interpreters\n   facilitate? We think, they provide us with a technique that makes highly dynamic\n   language features such as _metaobject protocols_ practical. Here, we experiment\n   with such techniques and investigate the performance potential.\n\nSelf-Contained, Complete, and Reproducible Evaluation Setup\n-----------------------------------------------------------\n\nThis repository contains everything that is necessary to re-execute all\nexperiments. Well, that excludes obviously the hardware, and operating system\nsetup.\n\nThe following quick start instructions, allow to recreate the basic environment:\n\n```bash\ngit clone --recursive https://github.com/smarr/selfopt-interp-performance\n```\n\nThe setup has been used and tested on Ubuntu and OS X.\nThe following programs are definitely required for execution:\n\n - ReBench (\u003e= 0.5) for benchmark execution\n - knitr (\u003e= 1.5) and R (\u003e= 3.0) for report generation\n\nFor the various implementations, additional software is required:\n\n - Graal\n   - C/C++ compiler (GCC, Clang)\n   - Java 8\n   - Python\n - JRuby\n   - Maven\n   - \n\n\nLicensing\n---------\n\nThe material in this repository is licensed under the terms of the MIT License.\nPlease note, the repository links in form of submodules to other repositories\nwhich are licensed under different terms.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsmarr%2Fselfopt-interp-performance","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsmarr%2Fselfopt-interp-performance","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsmarr%2Fselfopt-interp-performance/lists"}