quantrs2_tytan/advanced_performance_analysis/
benchmarking.rs

1//! Benchmarking suite and performance testing
2
3use super::*;
4
5/// Benchmarking suite
6pub struct BenchmarkingSuite {
7    /// Available benchmarks
8    pub benchmarks: Vec<Box<dyn Benchmark>>,
9    /// Benchmark results
10    pub results: HashMap<String, BenchmarkResult>,
11    /// Comparison baselines
12    pub baselines: HashMap<String, BenchmarkBaseline>,
13    /// Performance profiles
14    pub profiles: Vec<PerformanceProfile>,
15}
16
17/// Benchmark trait
18pub trait Benchmark: Send + Sync + std::fmt::Debug {
19    /// Run benchmark
20    fn run_benchmark(&self, config: &BenchmarkConfig) -> Result<BenchmarkResult, AnalysisError>;
21
22    /// Get benchmark name
23    fn get_benchmark_name(&self) -> &str;
24
25    /// Get benchmark description
26    fn get_description(&self) -> &str;
27
28    /// Get estimated runtime
29    fn get_estimated_runtime(&self) -> Duration;
30}
31
32/// Benchmark configuration
33#[derive(Debug, Clone)]
34pub struct BenchmarkConfig {
35    /// Number of iterations
36    pub iterations: usize,
37    /// Warmup iterations
38    pub warmup_iterations: usize,
39    /// Problem sizes to test
40    pub problem_sizes: Vec<usize>,
41    /// Time limit per test
42    pub time_limit: Duration,
43    /// Memory limit
44    pub memory_limit: usize,
45    /// Enable detailed profiling
46    pub detailed_profiling: bool,
47}
48
49/// Benchmark result
50#[derive(Debug, Clone)]
51pub struct BenchmarkResult {
52    /// Benchmark name
53    pub benchmark_name: String,
54    /// Execution times
55    pub execution_times: Vec<Duration>,
56    /// Memory usage
57    pub memory_usage: Vec<usize>,
58    /// Solution quality
59    pub solution_quality: Vec<f64>,
60    /// Convergence metrics
61    pub convergence_metrics: ConvergenceMetrics,
62    /// Scaling analysis
63    pub scaling_analysis: ScalingAnalysis,
64    /// Statistical summary
65    pub statistical_summary: StatisticalSummary,
66}
67
68/// Convergence metrics
69#[derive(Debug, Clone)]
70pub struct ConvergenceMetrics {
71    /// Time to convergence
72    pub time_to_convergence: Vec<Duration>,
73    /// Iterations to convergence
74    pub iterations_to_convergence: Vec<usize>,
75    /// Convergence rate
76    pub convergence_rate: f64,
77    /// Final residual
78    pub final_residual: Vec<f64>,
79    /// Convergence stability
80    pub stability_measure: f64,
81}
82
83/// Scaling analysis
84#[derive(Debug, Clone)]
85pub struct ScalingAnalysis {
86    /// Computational complexity
87    pub computational_complexity: ComplexityAnalysis,
88    /// Memory complexity
89    pub memory_complexity: ComplexityAnalysis,
90    /// Parallel efficiency
91    pub parallel_efficiency: ParallelEfficiency,
92    /// Scaling predictions
93    pub scaling_predictions: HashMap<usize, f64>,
94}
95
96/// Complexity analysis
97#[derive(Debug, Clone)]
98pub struct ComplexityAnalysis {
99    /// Fitted complexity function
100    pub complexity_function: ComplexityFunction,
101    /// Goodness of fit
102    pub goodness_of_fit: f64,
103    /// Confidence intervals
104    pub confidence_intervals: Vec<(f64, f64)>,
105    /// Predicted scaling
106    pub predicted_scaling: HashMap<usize, f64>,
107}
108
109/// Complexity function types
110#[derive(Debug, Clone, PartialEq, Eq)]
111pub enum ComplexityFunction {
112    Constant,
113    Linear,
114    Quadratic,
115    Cubic,
116    Exponential,
117    Logarithmic,
118    LogLinear,
119    Custom { expression: String },
120}
121
122/// Parallel efficiency metrics
123#[derive(Debug, Clone)]
124pub struct ParallelEfficiency {
125    /// Strong scaling efficiency
126    pub strong_scaling: Vec<f64>,
127    /// Weak scaling efficiency
128    pub weak_scaling: Vec<f64>,
129    /// Load balancing efficiency
130    pub load_balancing: f64,
131    /// Communication overhead
132    pub communication_overhead: f64,
133    /// Optimal thread count
134    pub optimal_threads: usize,
135}
136
137/// Statistical summary
138#[derive(Debug, Clone)]
139pub struct StatisticalSummary {
140    /// Descriptive statistics
141    pub descriptive_stats: HashMap<String, DescriptiveStats>,
142    /// Confidence intervals
143    pub confidence_intervals: HashMap<String, (f64, f64)>,
144    /// Hypothesis test results
145    pub hypothesis_tests: Vec<HypothesisTestResult>,
146    /// Effect sizes
147    pub effect_sizes: HashMap<String, f64>,
148}
149
150/// Descriptive statistics
151#[derive(Debug, Clone)]
152pub struct DescriptiveStats {
153    /// Mean
154    pub mean: f64,
155    /// Standard deviation
156    pub std_dev: f64,
157    /// Minimum
158    pub min: f64,
159    /// Maximum
160    pub max: f64,
161    /// Median
162    pub median: f64,
163    /// Quartiles
164    pub quartiles: (f64, f64, f64),
165    /// Skewness
166    pub skewness: f64,
167    /// Kurtosis
168    pub kurtosis: f64,
169}
170
171/// Hypothesis test result
172#[derive(Debug, Clone)]
173pub struct HypothesisTestResult {
174    /// Test name
175    pub test_name: String,
176    /// Test statistic
177    pub test_statistic: f64,
178    /// P-value
179    pub p_value: f64,
180    /// Critical value
181    pub critical_value: f64,
182    /// Reject null hypothesis
183    pub reject_null: bool,
184    /// Effect size
185    pub effect_size: f64,
186}
187
188/// Benchmark baseline
189#[derive(Debug, Clone)]
190pub struct BenchmarkBaseline {
191    /// Reference result
192    pub reference_result: BenchmarkResult,
193    /// System configuration
194    pub system_config: SystemInfo,
195    /// Timestamp
196    pub timestamp: Instant,
197    /// Benchmark version
198    pub benchmark_version: String,
199    /// Notes
200    pub notes: String,
201}
202
203/// Performance profile
204#[derive(Debug, Clone)]
205pub struct PerformanceProfile {
206    /// Profile name
207    pub profile_name: String,
208    /// Problem characteristics
209    pub problem_characteristics: ProblemCharacteristics,
210    /// Recommended algorithms
211    pub recommended_algorithms: Vec<AlgorithmRecommendation>,
212    /// Performance predictions
213    pub performance_predictions: HashMap<String, f64>,
214    /// Resource requirements
215    pub resource_requirements: ResourceRequirements,
216}
217
218/// Problem characteristics
219#[derive(Debug, Clone)]
220pub struct ProblemCharacteristics {
221    /// Problem size
222    pub problem_size: usize,
223    /// Problem density (sparsity)
224    pub density: f64,
225    /// Problem structure
226    pub structure: ProblemStructure,
227    /// Symmetries
228    pub symmetries: Vec<SymmetryType>,
229    /// Hardness indicators
230    pub hardness_indicators: HashMap<String, f64>,
231}
232
233/// Problem structure types
234#[derive(Debug, Clone, PartialEq, Eq)]
235pub enum ProblemStructure {
236    Random,
237    Regular,
238    SmallWorld,
239    ScaleFree,
240    Hierarchical,
241    Planar,
242    Bipartite,
243    Custom { description: String },
244}
245
246/// Symmetry types
247#[derive(Debug, Clone, PartialEq, Eq)]
248pub enum SymmetryType {
249    Translation,
250    Rotation,
251    Reflection,
252    Permutation,
253    Scale,
254    Custom { description: String },
255}
256
257/// Algorithm recommendation
258#[derive(Debug, Clone)]
259pub struct AlgorithmRecommendation {
260    /// Algorithm name
261    pub algorithm_name: String,
262    /// Recommendation score
263    pub score: f64,
264    /// Reasoning
265    pub reasoning: String,
266    /// Expected performance
267    pub expected_performance: HashMap<String, f64>,
268    /// Confidence level
269    pub confidence: f64,
270}
271
272/// Resource requirements
273#[derive(Debug, Clone)]
274pub struct ResourceRequirements {
275    /// CPU requirements
276    pub cpu_requirements: CpuRequirements,
277    /// Memory requirements
278    pub memory_requirements: MemoryRequirements,
279    /// GPU requirements
280    pub gpu_requirements: Option<GpuRequirements>,
281    /// Network requirements
282    pub network_requirements: NetworkRequirements,
283    /// Storage requirements
284    pub storage_requirements: StorageRequirements,
285}
286
287/// CPU requirements
288#[derive(Debug, Clone)]
289pub struct CpuRequirements {
290    /// Minimum cores
291    pub min_cores: usize,
292    /// Recommended cores
293    pub recommended_cores: usize,
294    /// Minimum frequency (GHz)
295    pub min_frequency: f64,
296    /// Required instruction sets
297    pub required_instruction_sets: Vec<String>,
298}
299
300/// Memory requirements
301#[derive(Debug, Clone)]
302pub struct MemoryRequirements {
303    /// Minimum memory (GB)
304    pub min_memory: f64,
305    /// Recommended memory (GB)
306    pub recommended_memory: f64,
307    /// Memory bandwidth requirements (GB/s)
308    pub bandwidth_requirements: f64,
309    /// Memory access pattern
310    pub access_pattern: MemoryAccessPattern,
311}
312
313/// Memory access patterns
314#[derive(Debug, Clone, PartialEq, Eq)]
315pub enum MemoryAccessPattern {
316    Sequential,
317    Random,
318    Strided { stride: usize },
319    Sparse,
320    Mixed,
321}
322
323/// GPU requirements
324#[derive(Debug, Clone)]
325pub struct GpuRequirements {
326    /// Minimum VRAM (GB)
327    pub min_vram: f64,
328    /// Minimum compute capability
329    pub min_compute_capability: f64,
330    /// Required GPU features
331    pub required_features: Vec<String>,
332    /// Memory bandwidth requirements (GB/s)
333    pub bandwidth_requirements: f64,
334}
335
336/// Network requirements
337#[derive(Debug, Clone)]
338pub struct NetworkRequirements {
339    /// Minimum bandwidth (Gbps)
340    pub min_bandwidth: f64,
341    /// Maximum latency (ms)
342    pub max_latency: f64,
343    /// Required protocols
344    pub required_protocols: Vec<String>,
345}
346
347/// Storage requirements
348#[derive(Debug, Clone)]
349pub struct StorageRequirements {
350    /// Minimum storage (GB)
351    pub min_storage: f64,
352    /// Required I/O performance (MB/s)
353    pub io_performance: f64,
354    /// Storage type
355    pub storage_type: StorageType,
356}
357
358/// Storage types
359#[derive(Debug, Clone, PartialEq, Eq)]
360pub enum StorageType {
361    HDD,
362    SSD,
363    NVMe,
364    MemoryMapped,
365    Network,
366}
367
368/// QUBO evaluation benchmark
369#[derive(Debug)]
370pub struct QuboEvaluationBenchmark;
371
372impl Default for QuboEvaluationBenchmark {
373    fn default() -> Self {
374        Self::new()
375    }
376}
377
378impl QuboEvaluationBenchmark {
379    pub const fn new() -> Self {
380        Self
381    }
382}
383
384impl Benchmark for QuboEvaluationBenchmark {
385    fn run_benchmark(&self, config: &BenchmarkConfig) -> Result<BenchmarkResult, AnalysisError> {
386        let mut execution_times = Vec::new();
387        let mut memory_usage = Vec::new();
388        let mut solution_quality = Vec::new();
389
390        for _ in 0..config.iterations {
391            let start = Instant::now();
392            // Mock QUBO evaluation
393            std::thread::sleep(Duration::from_millis(10));
394            execution_times.push(start.elapsed());
395            memory_usage.push(1024 * 1024); // 1MB
396            solution_quality.push(0.95); // 95% quality
397        }
398
399        Ok(BenchmarkResult {
400            benchmark_name: self.get_benchmark_name().to_string(),
401            execution_times,
402            memory_usage,
403            solution_quality,
404            convergence_metrics: ConvergenceMetrics {
405                time_to_convergence: vec![Duration::from_millis(100)],
406                iterations_to_convergence: vec![50],
407                convergence_rate: 0.85,
408                final_residual: vec![0.01],
409                stability_measure: 0.92,
410            },
411            scaling_analysis: ScalingAnalysis {
412                computational_complexity: ComplexityAnalysis {
413                    complexity_function: ComplexityFunction::Quadratic,
414                    goodness_of_fit: 0.95,
415                    confidence_intervals: vec![(0.9, 1.0)],
416                    predicted_scaling: HashMap::new(),
417                },
418                memory_complexity: ComplexityAnalysis {
419                    complexity_function: ComplexityFunction::Linear,
420                    goodness_of_fit: 0.98,
421                    confidence_intervals: vec![(0.95, 1.0)],
422                    predicted_scaling: HashMap::new(),
423                },
424                parallel_efficiency: ParallelEfficiency {
425                    strong_scaling: vec![1.0, 0.9, 0.8, 0.7],
426                    weak_scaling: vec![1.0, 0.95, 0.92, 0.88],
427                    load_balancing: 0.85,
428                    communication_overhead: 0.15,
429                    optimal_threads: 8,
430                },
431                scaling_predictions: HashMap::new(),
432            },
433            statistical_summary: StatisticalSummary {
434                descriptive_stats: HashMap::new(),
435                confidence_intervals: HashMap::new(),
436                hypothesis_tests: Vec::new(),
437                effect_sizes: HashMap::new(),
438            },
439        })
440    }
441
442    fn get_benchmark_name(&self) -> &'static str {
443        "QUBO Evaluation Benchmark"
444    }
445
446    fn get_description(&self) -> &'static str {
447        "Benchmarks QUBO matrix evaluation performance"
448    }
449
450    fn get_estimated_runtime(&self) -> Duration {
451        Duration::from_secs(30)
452    }
453}
454
455/// Sampling benchmark
456#[derive(Debug)]
457pub struct SamplingBenchmark;
458
459impl Default for SamplingBenchmark {
460    fn default() -> Self {
461        Self::new()
462    }
463}
464
465impl SamplingBenchmark {
466    pub const fn new() -> Self {
467        Self
468    }
469}
470
471impl Benchmark for SamplingBenchmark {
472    fn run_benchmark(&self, _config: &BenchmarkConfig) -> Result<BenchmarkResult, AnalysisError> {
473        // Mock implementation
474        Ok(BenchmarkResult {
475            benchmark_name: self.get_benchmark_name().to_string(),
476            execution_times: vec![Duration::from_millis(50)],
477            memory_usage: vec![2 * 1024 * 1024],
478            solution_quality: vec![0.88],
479            convergence_metrics: ConvergenceMetrics {
480                time_to_convergence: vec![Duration::from_millis(200)],
481                iterations_to_convergence: vec![100],
482                convergence_rate: 0.78,
483                final_residual: vec![0.02],
484                stability_measure: 0.89,
485            },
486            scaling_analysis: ScalingAnalysis {
487                computational_complexity: ComplexityAnalysis {
488                    complexity_function: ComplexityFunction::LogLinear,
489                    goodness_of_fit: 0.88,
490                    confidence_intervals: vec![(0.8, 0.95)],
491                    predicted_scaling: HashMap::new(),
492                },
493                memory_complexity: ComplexityAnalysis {
494                    complexity_function: ComplexityFunction::Linear,
495                    goodness_of_fit: 0.92,
496                    confidence_intervals: vec![(0.88, 0.96)],
497                    predicted_scaling: HashMap::new(),
498                },
499                parallel_efficiency: ParallelEfficiency {
500                    strong_scaling: vec![1.0, 0.85, 0.72, 0.63],
501                    weak_scaling: vec![1.0, 0.96, 0.94, 0.91],
502                    load_balancing: 0.82,
503                    communication_overhead: 0.18,
504                    optimal_threads: 6,
505                },
506                scaling_predictions: HashMap::new(),
507            },
508            statistical_summary: StatisticalSummary {
509                descriptive_stats: HashMap::new(),
510                confidence_intervals: HashMap::new(),
511                hypothesis_tests: Vec::new(),
512                effect_sizes: HashMap::new(),
513            },
514        })
515    }
516
517    fn get_benchmark_name(&self) -> &'static str {
518        "Sampling Benchmark"
519    }
520
521    fn get_description(&self) -> &'static str {
522        "Benchmarks quantum annealing sampling performance"
523    }
524
525    fn get_estimated_runtime(&self) -> Duration {
526        Duration::from_secs(60)
527    }
528}
529
530/// Convergence benchmark
531#[derive(Debug)]
532pub struct ConvergenceBenchmark;
533
534impl Default for ConvergenceBenchmark {
535    fn default() -> Self {
536        Self::new()
537    }
538}
539
540impl ConvergenceBenchmark {
541    pub const fn new() -> Self {
542        Self
543    }
544}
545
546impl Benchmark for ConvergenceBenchmark {
547    fn run_benchmark(&self, _config: &BenchmarkConfig) -> Result<BenchmarkResult, AnalysisError> {
548        // Mock implementation
549        Ok(BenchmarkResult {
550            benchmark_name: self.get_benchmark_name().to_string(),
551            execution_times: vec![Duration::from_millis(75)],
552            memory_usage: vec![1536 * 1024],
553            solution_quality: vec![0.92],
554            convergence_metrics: ConvergenceMetrics {
555                time_to_convergence: vec![Duration::from_millis(150)],
556                iterations_to_convergence: vec![75],
557                convergence_rate: 0.83,
558                final_residual: vec![0.015],
559                stability_measure: 0.91,
560            },
561            scaling_analysis: ScalingAnalysis {
562                computational_complexity: ComplexityAnalysis {
563                    complexity_function: ComplexityFunction::Linear,
564                    goodness_of_fit: 0.93,
565                    confidence_intervals: vec![(0.9, 0.96)],
566                    predicted_scaling: HashMap::new(),
567                },
568                memory_complexity: ComplexityAnalysis {
569                    complexity_function: ComplexityFunction::Constant,
570                    goodness_of_fit: 0.97,
571                    confidence_intervals: vec![(0.94, 0.99)],
572                    predicted_scaling: HashMap::new(),
573                },
574                parallel_efficiency: ParallelEfficiency {
575                    strong_scaling: vec![1.0, 0.88, 0.79, 0.71],
576                    weak_scaling: vec![1.0, 0.97, 0.95, 0.93],
577                    load_balancing: 0.87,
578                    communication_overhead: 0.13,
579                    optimal_threads: 4,
580                },
581                scaling_predictions: HashMap::new(),
582            },
583            statistical_summary: StatisticalSummary {
584                descriptive_stats: HashMap::new(),
585                confidence_intervals: HashMap::new(),
586                hypothesis_tests: Vec::new(),
587                effect_sizes: HashMap::new(),
588            },
589        })
590    }
591
592    fn get_benchmark_name(&self) -> &'static str {
593        "Convergence Benchmark"
594    }
595
596    fn get_description(&self) -> &'static str {
597        "Benchmarks algorithm convergence characteristics"
598    }
599
600    fn get_estimated_runtime(&self) -> Duration {
601        Duration::from_secs(45)
602    }
603}
quantrs2_tytan/advanced_performance_analysis/benchmarking.rs

quantrs2_tytan/advanced_performance_analysis/
benchmarking.rs
