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This commit introduces a complete multi-threaded evaluation benchmark suite for both Rust and C# implementations of Regorus. - Implemented engine evaluation benchmark with input and engine cloning strategies - Implemented compiled policy evaluation benchmark with input cloning and shared compiled policy strategies. - Created EngineEvaluationBenchmark.cs and CompiledPolicyEvaluationBenchmark.cs with time-based execution (3s warmup + 3s evaluation) - Implemented configuration options matching Rust implementation (useClonedEngines, useSharedPolicies parameters) - Created markdown analysis documentation with cross-platform performance analysis - C# seems to achieve 58-89% of Rust performance on test machine. Signed-off-by: Anand Krishnamoorthi <anakrish@microsoft.com>
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Engine Evaluation Benchmark Results (C#/.NET)
Test Environment
- Platform: Apple Silicon (M-Series)
- CPU: 16 cores
- Architecture: ARM64 (aarch64-apple-darwin)
- .NET Version: 8.0
- Benchmark Framework: Custom time-based benchmarking
- Test Data: 20,000 inputs per evaluation (distributed across threads)
- Policy: Complex authorization policy with nested rules
- Warmup Duration: 3 seconds per configuration
- Evaluation Duration: 3 seconds per configuration
Benchmark Overview
The C# engine evaluation benchmark tests Regorus policy evaluation performance across multiple thread configurations (1-32 threads). It measures throughput (thousands of evaluations per second) for different combinations of engine reuse strategies.
Configuration Combinations
- Cloned Engines: Each thread uses its own cloned engine instance - optimal for performance
- Fresh Engines: Each thread creates a new engine for each evaluation iteration
Note: The C# implementation uses a simpler configuration model compared to Rust, which also varies input data handling (cloned vs fresh inputs). The C# benchmarks focus on engine reuse strategies with consistent input handling.
Performance Results
Cloned Engines (Best Performance)
| Threads | Total Evaluation Time (ms) | Throughput (Kelem/s) |
|---|---|---|
| 1 | 2930.56 | 219 |
| 2 | 5868.46 | 177 |
| 4 | 11771.01 | 146 |
| 6 | 17682.52 | 129 |
| 8 | 23633.65 | 78 |
| 10 | 29489.12 | 67 |
| 12 | 35455.23 | 57 |
| 14 | 41353.65 | 47 |
| 16 | 47378.91 | 42 |
| 18 | 52750.68 | 36 |
| 20 | 58131.31 | 35 |
| 22 | 62964.88 | 31 |
| 24 | 64337.75 | 34 |
| 26 | 70044.96 | 29 |
| 28 | 72553.98 | 28 |
| 30 | 79323.25 | 26 |
| 32 | 78624.33 | 26 |
Fresh Engines
| Threads | Total Evaluation Time (ms) | Throughput (Kelem/s) |
|---|---|---|
| 1 | 2985.49 | 41 |
| 2 | 5968.13 | 38 |
| 4 | 11942.10 | 34 |
| 6 | 17918.75 | 32 |
| 8 | 23873.57 | 25 |
| 10 | 29863.85 | 20 |
| 12 | 35823.98 | 19 |
| 14 | 41811.53 | 16 |
| 16 | 47819.89 | 14 |
| 18 | 53478.32 | 13 |
| 20 | 59191.93 | 12 |
| 22 | 64630.71 | 11 |
| 24 | 70215.54 | 10 |
| 26 | 75732.06 | 9 |
| 28 | 80897.59 | 9 |
| 30 | 949904.84 | 8 |
| 32 | 92592.64 | 8 |
Analysis
The C# benchmark results demonstrate important performance characteristics:
- Engine Reuse Impact: Cloned engines significantly outperform fresh engines (~5.3x at 1 thread)
- Scaling Patterns:
- Best throughput achieved at 1 thread for both configurations
- Performance degrades with increased thread count due to contention
- Cloned engines show better relative scaling characteristics
- Performance Hierarchy:
- Cloned engines: Best performance (optimal configuration)
- Fresh engines: ~81% reduction from optimal
- Thread Contention: Significant performance drop beyond 8 threads, especially for fresh engines
- C# vs Rust Performance: C# shows ~67% of Rust performance for equivalent cloned engine configuration
Comparison with Rust Engine Evaluation
| Configuration | C# Performance (1 thread) | Rust Performance (1 thread) | Relative Performance |
|---|---|---|---|
| Cloned Engines | Best performance | Higher throughput | 0.67x-0.92x |
| Fresh Engines | ~81% reduction from optimal | ~87% reduction from optimal | 0.75x-0.95x |
Note: Rust benchmarks include additional input data variations (cloned vs fresh inputs) that are not present in the C# implementation.
Performance Insights
- Engine Creation Overhead: Fresh engine creation has massive performance impact in C# (~5.3x slower)
- Thread Scaling: C# shows more significant thread contention than Rust implementation
- Memory Management: .NET garbage collection may contribute to performance variations
- Interop Overhead: C# bindings add measurable overhead compared to native Rust