Performance & Optimization

Rust performance work starts with clear code, then uses profiling and benchmarking to justify targeted changes.

Concepts

• Profiling Rust Programs
• Iterator Performance
• The inline Attribute
• SIMD and target_feature

Patterns

• Benchmarking with Criterion
• Flamegraph and perf Workflow
• Reducing Heap Allocations
• Allocator Choices
• Bounds-Check Elimination
• Cache-Friendly Data Layout
• SmallVec for Inline Storage
• Arena Allocation
• LTO and codegen-units

Antipatterns

• Avoiding Premature Optimization
• Speculative Micro-Optimization

Neighboring Notes

• Profiles and Optimization Settings
• Codegen and Optimization Flags
• Zero-Cost Abstractions
• Capacity and Reallocation
• Manual Index Loops for Speed
• Needless Clone
• Unnecessary Collect
• Prefer Iterator Pipelines to Manual Indexing

Sources

• The Rust Programming Language, ch. 13.4 “Comparing Performance: Loops vs. Iterators” — the-book, https://doc.rust-lang.org/book/ch13-04-performance.html
• The Rust Programming Language, ch. 14.1 “Customizing Builds with Release Profiles” — the-book, https://doc.rust-lang.org/book/ch14-01-release-profiles.html
• The Cargo Book, “Profiles” — cargo-book, https://doc.rust-lang.org/cargo/reference/profiles.html
• The Rust Reference, “Code generation attributes: inline” — the-reference, https://doc.rust-lang.org/reference/attributes/codegen.html#the-inline-attribute