References

This page collects the external sources most useful for understanding the repository's code, validation model, and performance methodology. The emphasis is on durable, official, and widely cited references.

Standards and language references

Source	Kind	Why it matters here
cppreference: C++ standard library and language reference	reference site	quickest authoritative lookup for atomics, ranges, alignment, and language rules used across the examples
C++ Core Guidelines	living guidelines	useful for balancing performance-oriented code with safety and maintainability
CMake Presets manual	official manual	directly relevant because this repository treats presets as the canonical build and validation interface
GoogleTest	public repository	unit-test infrastructure used by the repository
RapidCheck	public repository	property-based testing library used for invariant-oriented validation

Measurement and profiling

Source	Kind	Why it matters here
Google Benchmark	public repository	microbenchmark harness used throughout the ecosystem and reflected in this repository's measurement style
perf wiki	official documentation	canonical Linux-first reference for counters, sampling, and profiler usage
Brendan Gregg's FlameGraph	article and tooling entry point	explains the flamegraph model used by the repository's performance scripts
Intel VTune Profiler	vendor documentation	advanced profiling route for Intel-focused investigations
Compiler Explorer	public tooling site	convenient for checking code generation and vectorization decisions outside a local build

Microarchitecture and systems-performance reading

Source	Kind	Why it matters here
Agner Fog optimization resources	manuals and tables	high-value reference for instruction costs, vectorization details, and CPU behavior
Intel 64 and IA-32 Architectures Optimization Reference Manual	vendor optimization manual	helps interpret many cache and SIMD results on mainstream x86 systems
What Every Programmer Should Know About Memory	long-form article	foundational reading for the memory and cache module
Gallery of Processor Cache Effects	article	approachable illustrations of cache behavior that complement the repository's examples

Algorithms and data structures

Source	Kind	Why it matters here
Sedgewick & Wayne, Algorithms (4th ed.)	textbook	canonical reference for the sorting, searching, and graph algorithms discussed in the repository
Knuth, The Art of Computer Programming Vol. 3	textbook	definitive analysis of sorting and searching algorithms; the benchmark against which all teaching references are measured
Celis (1985), Robin Hood Hashing	PhD thesis	foundational paper for the Robin Hood hashing discussion in the algorithms module
Facebook F14 Design Notes	engineering blog	explains the group-probing, SIMD-accelerated hash table design referenced in the hashing guide
Abseil Swiss Tables	public documentation	the design rationale behind absl::flat_hash_map, a direct comparison point for the repository's hash-table teaching implementation
Lemire & Boytsov (2019), Decoding billions of integers per second through vectorization	research paper	demonstrates SIMD-friendly algorithm design applicable to sorting, compression, and bitmap indexing
McIlroy (1999), A Killer Adversary for Quicksort	research paper	shows why robust pivot selection matters in real-world quicksort implementations

Public repositories and libraries used as comparison points

Source	Kind	Why it matters here
xsimd	public repository	contrast point for portable SIMD abstractions
oneTBB	public repository	reference for production-grade parallelism and scheduling
folly	public repository	shows what a much broader systems utility library looks like
Abseil C++	public repository	useful comparison for API surface and low-level utility design
ska::flat_hash_map	public repository	teaching-sized Robin Hood hash map; close in scope to the repository's hash-table examples
tsl::robin_map	public repository	another Robin Hood implementation with emphasis on API compatibility and performance

Repository cross-links

• Performance Methodology
• Validation Doctrine
• Profiling Guide
• Related Work
• Algorithms Overview

This reference shelf is intentionally selective. It favors sources that help readers inspect or challenge a concrete claim in the repository.