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@konard konard commented Sep 14, 2025

πŸ€– AI-Powered Solution

This pull request solves issue #52 by implementing a comprehensive benchmark suite to compare HashSet and BitString intersection performance.

πŸ“‹ Issue Reference

Fixes #52

βœ… Implementation Summary

New benchmark class: IntersectionPerformanceComparison.cs

  • 11 different intersection methods comparing HashSet vs BitString approaches
  • Comprehensive test matrix: 4 collection sizes Γ— 3 fill rates Γ— 3 intersection rates = 36 scenarios
  • Memory usage tracking with [MemoryDiagnoser] attribute
  • BenchmarkDotNet performance measurement framework

Multiple BitString intersection variants tested:

  • BitStringIntersection() - Basic And() operation
  • BitStringVectorIntersection() - SIMD-optimized VectorAnd()
  • BitStringParallelIntersection() - Multi-threaded ParallelAnd()
  • BitStringParallelVectorIntersection() - Combined parallel + SIMD
  • BitStringGetCommonIndices() - Direct common indices retrieval
  • BitStringCountCommonBits() - Efficient bit counting
  • BitStringHaveCommonBits() - Fast existence check

HashSet intersection methods:

  • HashSetIntersection() - Standard IntersectWith() [baseline]
  • HashSetIntersectionCount() - LINQ-based counting
  • HashSetHaveCommon() - Overlaps() method

πŸ“Š Test Parameters

  • Collection sizes: 1K, 10K, 100K, 1M elements
  • Fill rates: 0.1 (sparse), 0.5 (medium), 0.9 (dense)
  • Intersection rates: 0.1, 0.3, 0.7 (low to high overlap)

πŸš€ Usage

# Run intersection performance comparison
dotnet run intersection

# Run original BitString benchmarks  
dotnet run bitstring

# Show help
dotnet run

πŸ“ˆ Expected Performance Insights

  • BitString advantages: Dense collections, large datasets, vectorized operations
  • HashSet advantages: Sparse collections, small datasets, lower overhead
  • Memory efficiency: Fixed vs variable allocation patterns
  • CPU utilization: SIMD acceleration vs hash table operations

πŸ“š Documentation

Comprehensive documentation added in examples/intersection-performance-comparison.md covering:

  • Detailed usage examples
  • Performance analysis methodology
  • Expected results interpretation
  • Code samples for both collection types

πŸ€– Generated with Claude Code

Adding CLAUDE.md with task information for AI processing.
This file will be removed when the task is complete.

Issue: #52
@konard konard self-assigned this Sep 14, 2025
…rison

This commit addresses issue #52 by implementing a detailed benchmark suite that compares
intersection performance between HashSet and BitString collections.

**Key additions:**
- New IntersectionPerformanceComparison.cs benchmark class with 11 different intersection methods
- Comprehensive test matrix: 4 sizes Γ— 3 fill rates Γ— 3 intersection rates = 36 scenarios
- Multiple BitString intersection variants: And, VectorAnd, ParallelAnd, ParallelVectorAnd
- HashSet intersection methods: IntersectWith, Intersect.Count(), Overlaps
- Updated Program.cs to support both benchmark types via command line arguments
- Detailed documentation explaining usage and expected performance characteristics

**Benchmark coverage:**
- Collection sizes: 1K, 10K, 100K, 1M elements
- Fill rates: 0.1 (sparse), 0.5 (medium), 0.9 (dense)
- Intersection rates: 0.1, 0.3, 0.7 (low to high overlap)
- Memory and CPU performance analysis across different data patterns

**Usage:**
- `dotnet run intersection` - Run intersection performance comparison
- `dotnet run bitstring` - Run original BitString benchmarks
- `dotnet run` - Show help

πŸ€– Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <[email protected]>
@konard konard changed the title [WIP] Compare HashSet and BitString intersection performance Add comprehensive HashSet vs BitString intersection performance comparison Sep 14, 2025
@konard konard marked this pull request as ready for review September 14, 2025 05:22
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Compare HashSet and BitString intersection performance

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