Performance of Rust Language [pdf]
Recorded: May 26, 2026, 6:01 p.m.
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mainBranchesTagsGo to fileCodeOpen more actions menuFolders and filesNameNameLast commit messageLast commit dateLatest commit History934 Commits934 CommitsCVECVE benchmarksbenchmarks featuresfeatures materialsmaterials utilutil .gitignore.gitignore EN.pdfEN.pdf EN.pptxEN.pptx README.mdREADME.md RU.pdfRU.pdf RU.pptxRU.pptx RU_short.pptxRU_short.pptx parse_stats.shparse_stats.sh plan.mdplan.md real-projects.mdreal-projects.md talk.mdtalk.md View all filesRepository files navigationREADMEGoal identify performance weak spots (and strong points) of Rust Contents Slides: English and Russian Various posts and papers which served as base for slides Rust performance features Pros and cons of language from performance standpoint Benchmarks Projects used for Rust benchmarking Script of the planned talk (outdated) External links LinkedIn About No description, website, or topics provided. Readme Uh oh! There was an error while loading. Please reload this page. Activity 227 2 5 Report repository Releases Packages
Uh oh! There was an error while loading. Please reload this page. Contributors Uh oh! There was an error while loading. Please reload this page. Languages Python C++ Shell Rust
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The repository documentation for rust-slides outlines a project centered on a deep investigation into the performance characteristics of the Rust programming language, positioning it as a safe, low-level, system programming language that directly competes with C++. The core objective of this work is to explore the relationship between Rust's safety guarantees and its performance implications, specifically addressing whether similar performance levels can be achieved in idiomatic Rust code. The project aims to identify, evaluate the severity of, and propose countermeasures for performance weak spots and strong points within the Rust ecosystem. The material compiled for this endeavor includes slides available in both English and Russian, supplemented by various reading materials, including posts and papers that served as the foundation for the presentation. Furthermore, the project incorporates empirical data through established benchmarks and practical projects utilized for assessing Rust performance. This methodological approach is supported by materials such as the script for the planned talk and related planning documents. The initiative demonstrates a comprehensive analytical approach to performance engineering in Rust. It moves beyond simple feature description to conduct a critical assessment of the language's performance trade-offs. By analyzing the data derived from benchmarks and projects, the work seeks to establish practical performance best practices relative to Rust's safety features, thereby providing a thorough analysis for developers and researchers interested in optimizing system-level code written in Rust. The resulting material is intended to furnish an in-depth understanding of how safety impacts performance in a low-level context. |