trustformers_debug/
kernel_optimizer.rs

1//! Kernel optimization analyzer and recommendation engine
2//!
3//! This module provides comprehensive analysis of GPU kernel performance,
4//! identifies optimization opportunities, and suggests specific improvements.
5
6use anyhow::Result;
7use serde::{Deserialize, Serialize};
8use std::collections::HashMap;
9use std::time::{Duration, SystemTime};
10use uuid::Uuid;
11
12use crate::advanced_gpu_profiler::{
13    AccessLocalityMetrics, CachePerformanceAnalysis, CoalescingAnalysis, ComputeBottleneckAnalysis,
14    ComputeBottleneckType, ComputeUtilizationProfile, ConfigPerformanceMeasurement,
15    ImplementationDifficulty, InstructionMixAnalysis, KernelExecutionProfile, KernelOptimization,
16    MemoryAccessAnalysis, OptimalLaunchConfig, ResourceUtilizationMetrics,
17};
18
19/// Comprehensive kernel optimization analyzer
20#[derive(Debug)]
21pub struct KernelOptimizationAnalyzer {
22    kernel_profiles: HashMap<String, KernelExecutionProfile>,
23    optimization_suggestions: HashMap<String, Vec<KernelOptimization>>,
24    launch_config_analyzer: LaunchConfigAnalyzer,
25    memory_access_analyzer: MemoryAccessAnalyzer,
26    compute_utilization_analyzer: ComputeUtilizationAnalyzer,
27    fusion_analyzer: KernelFusionAnalyzer,
28    performance_regression_detector: PerformanceRegressionDetector,
29}
30
31/// Launch configuration optimization engine
32#[derive(Debug)]
33#[allow(dead_code)]
34pub struct LaunchConfigAnalyzer {
35    #[allow(dead_code)]
36    optimal_configs: HashMap<String, OptimalLaunchConfig>,
37    config_performance_history: HashMap<String, Vec<ConfigPerformanceMeasurement>>,
38    autotuning_enabled: bool,
39    search_space_cache: HashMap<String, LaunchConfigSearchSpace>,
40}
41
42#[derive(Debug, Clone, Serialize, Deserialize)]
43pub struct LaunchConfigSearchSpace {
44    pub kernel_name: String,
45    pub min_block_size: (u32, u32, u32),
46    pub max_block_size: (u32, u32, u32),
47    pub block_size_constraints: Vec<BlockSizeConstraint>,
48    pub shared_memory_constraints: MemoryConstraints,
49    pub register_constraints: RegisterConstraints,
50    pub occupancy_targets: OccupancyTargets,
51}
52
53#[derive(Debug, Clone, Serialize, Deserialize)]
54pub enum BlockSizeConstraint {
55    MultipleOf(u32),
56    PowerOfTwo,
57    MaxThreadsPerBlock(u32),
58    SharedMemoryLimit(usize),
59    RegisterLimit(u32),
60}
61
62#[derive(Debug, Clone, Serialize, Deserialize)]
63pub struct MemoryConstraints {
64    pub max_shared_memory_per_block: usize,
65    pub bank_conflict_aware: bool,
66    pub coalescing_optimization: bool,
67}
68
69#[derive(Debug, Clone, Serialize, Deserialize)]
70pub struct RegisterConstraints {
71    pub max_registers_per_thread: u32,
72    pub spill_threshold: u32,
73    pub occupancy_impact_threshold: f64,
74}
75
76#[derive(Debug, Clone, Serialize, Deserialize)]
77pub struct OccupancyTargets {
78    pub minimum_occupancy: f64,
79    pub target_occupancy: f64,
80    pub theoretical_occupancy: f64,
81}
82
83/// Memory access pattern analysis engine
84#[allow(dead_code)]
85#[derive(Debug)]
86pub struct MemoryAccessAnalyzer {
87    #[allow(dead_code)]
88    access_patterns: HashMap<String, MemoryAccessAnalysis>,
89    coalescing_analysis: HashMap<String, CoalescingAnalysis>,
90    cache_performance: HashMap<String, CachePerformanceAnalysis>,
91    stride_analysis: HashMap<String, StrideAnalysisResult>,
92    bank_conflict_analyzer: BankConflictAnalyzer,
93}
94
95#[derive(Debug, Clone, Serialize, Deserialize)]
96pub struct StrideAnalysisResult {
97    pub kernel_name: String,
98    pub detected_strides: Vec<DetectedStride>,
99    pub access_pattern_classification: AccessPatternType,
100    pub optimization_potential: f64,
101    pub recommended_optimizations: Vec<StrideOptimization>,
102}
103
104#[derive(Debug, Clone, Serialize, Deserialize)]
105pub struct DetectedStride {
106    pub stride_bytes: usize,
107    pub frequency: u64,
108    pub memory_region: String,
109    pub performance_impact: StrideImpact,
110}
111
112#[derive(Debug, Clone, Serialize, Deserialize)]
113pub enum StrideImpact {
114    Optimal,  // Stride = 1 element
115    Good,     // Small stride, good cache utilization
116    Moderate, // Medium stride, some cache misses
117    Poor,     // Large stride, many cache misses
118    Critical, // Very large stride, severe performance impact
119}
120
121#[derive(Debug, Clone, Serialize, Deserialize)]
122pub enum AccessPatternType {
123    Sequential,
124    Strided,
125    Random,
126    Blocked,
127    Sparse,
128    Irregular,
129}
130
131#[derive(Debug, Clone, Serialize, Deserialize)]
132pub struct StrideOptimization {
133    pub optimization_type: StrideOptimizationType,
134    pub description: String,
135    pub expected_improvement: f64,
136    pub implementation_complexity: ImplementationDifficulty,
137}
138
139#[derive(Debug, Clone, Serialize, Deserialize)]
140pub enum StrideOptimizationType {
141    DataLayoutReorganization,
142    AccessReordering,
143    TilingStrategy,
144    PrefetchingStrategy,
145    VectorizedAccess,
146}
147
148#[allow(dead_code)]
149/// Bank conflict analysis for shared memory
150#[derive(Debug)]
151pub struct BankConflictAnalyzer {
152    #[allow(dead_code)]
153    conflict_patterns: HashMap<String, BankConflictPattern>,
154    resolution_strategies: HashMap<String, Vec<ConflictResolutionStrategy>>,
155}
156
157#[derive(Debug, Clone, Serialize, Deserialize)]
158pub struct BankConflictPattern {
159    pub kernel_name: String,
160    pub conflict_count: u64,
161    pub conflict_severity: ConflictSeverity,
162    pub conflicting_addresses: Vec<ConflictingAccess>,
163    pub bank_utilization: Vec<f64>, // Utilization per bank
164}
165
166#[derive(Debug, Clone, Serialize, Deserialize)]
167pub enum ConflictSeverity {
168    None,
169    Low,    // 2-way conflicts
170    Medium, // 4-way conflicts
171    High,   // 8-way conflicts
172    Severe, // 16+ way conflicts
173}
174
175#[derive(Debug, Clone, Serialize, Deserialize)]
176pub struct ConflictingAccess {
177    pub address_pattern: String,
178    pub conflict_degree: u32,
179    pub access_frequency: u64,
180    pub performance_penalty: f64,
181}
182
183#[derive(Debug, Clone, Serialize, Deserialize)]
184pub struct ConflictResolutionStrategy {
185    pub strategy_type: ConflictResolutionType,
186    pub description: String,
187    pub expected_speedup: f64,
188    pub implementation_steps: Vec<String>,
189}
190
191#[derive(Debug, Clone, Serialize, Deserialize)]
192pub enum ConflictResolutionType {
193    ArrayPadding,
194    AccessReordering,
195    DataStructureReorganization,
196    BroadcastOptimization,
197    MemoryLayoutChange,
198}
199#[allow(dead_code)]
200
201/// Compute utilization analysis engine
202#[derive(Debug)]
203pub struct ComputeUtilizationAnalyzer {
204    #[allow(dead_code)]
205    utilization_profiles: HashMap<String, ComputeUtilizationProfile>,
206    bottleneck_analysis: HashMap<String, ComputeBottleneckAnalysis>,
207    arithmetic_intensity_analyzer: ArithmeticIntensityAnalyzer,
208    #[allow(dead_code)]
209    resource_balancer: ResourceBalancer,
210}
211
212#[derive(Debug)]
213#[allow(dead_code)]
214pub struct ArithmeticIntensityAnalyzer {
215    #[allow(dead_code)]
216    intensity_profiles: HashMap<String, ArithmeticIntensityProfile>,
217    roofline_models: HashMap<i32, RooflineModel>, // Per device
218}
219
220#[derive(Debug, Clone, Serialize, Deserialize)]
221pub struct ArithmeticIntensityProfile {
222    pub kernel_name: String,
223    pub operations_per_byte: f64,
224    pub compute_intensity: ComputeIntensityCategory,
225    pub memory_bound_ratio: f64,
226    pub compute_bound_ratio: f64,
227    pub roofline_position: RooflinePosition,
228    pub optimization_direction: OptimizationDirection,
229}
230
231#[derive(Debug, Clone, Serialize, Deserialize)]
232pub enum ComputeIntensityCategory {
233    MemoryBound,  // < 1 op/byte
234    Balanced,     // 1-10 ops/byte
235    ComputeBound, // > 10 ops/byte
236}
237
238#[derive(Debug, Clone, Serialize, Deserialize)]
239pub struct RooflinePosition {
240    pub current_performance: f64,    // GFLOPS
241    pub theoretical_peak: f64,       // GFLOPS
242    pub memory_bandwidth_limit: f64, // GB/s
243    pub efficiency_percentage: f64,
244}
245
246#[derive(Debug, Clone, Serialize, Deserialize)]
247pub enum OptimizationDirection {
248    IncreaseComputeIntensity,
249    ImproveMemoryEfficiency,
250    BalanceComputeMemory,
251    OptimizeForLatency,
252}
253
254#[derive(Debug, Clone, Serialize, Deserialize)]
255pub struct RooflineModel {
256    pub device_id: i32,
257    pub peak_compute_performance: f64, // GFLOPS
258    pub peak_memory_bandwidth: f64,    // GB/s
259    pub cache_hierarchy: CacheHierarchy,
260    pub compute_capabilities: ComputeCapabilities,
261}
262
263#[derive(Debug, Clone, Serialize, Deserialize)]
264pub struct CacheHierarchy {
265    pub l1_cache_bandwidth: f64,
266    pub l2_cache_bandwidth: f64,
267    pub shared_memory_bandwidth: f64,
268    pub texture_cache_bandwidth: f64,
269    pub constant_cache_bandwidth: f64,
270}
271
272#[derive(Debug, Clone, Serialize, Deserialize)]
273pub struct ComputeCapabilities {
274    pub fp32_performance: f64,
275    pub fp16_performance: f64,
276    pub int32_performance: f64,
277    pub tensor_performance: f64,
278    #[allow(dead_code)]
279    pub special_function_performance: f64,
280}
281
282/// Resource balancing engine
283#[derive(Debug)]
284#[allow(dead_code)]
285pub struct ResourceBalancer {
286    #[allow(dead_code)]
287    resource_profiles: HashMap<String, ResourceProfile>,
288    balancing_strategies: HashMap<String, Vec<BalancingStrategy>>,
289}
290
291#[derive(Debug, Clone, Serialize, Deserialize)]
292pub struct ResourceProfile {
293    pub kernel_name: String,
294    pub register_pressure: ResourcePressure,
295    pub shared_memory_pressure: ResourcePressure,
296    pub occupancy_limiting_factor: OccupancyLimitingFactor,
297    pub resource_utilization_efficiency: f64,
298}
299
300#[derive(Debug, Clone, Serialize, Deserialize)]
301pub enum ResourcePressure {
302    Low,
303    Medium,
304    High,
305    Critical,
306}
307
308#[derive(Debug, Clone, Serialize, Deserialize)]
309pub enum OccupancyLimitingFactor {
310    RegisterCount,
311    SharedMemoryUsage,
312    BlockSize,
313    WarpCount,
314    None,
315}
316
317#[derive(Debug, Clone, Serialize, Deserialize)]
318pub struct BalancingStrategy {
319    pub strategy_type: BalancingStrategyType,
320    pub description: String,
321    pub expected_occupancy_improvement: f64,
322    pub performance_impact: f64,
323}
324
325#[derive(Debug, Clone, Serialize, Deserialize)]
326pub enum BalancingStrategyType {
327    RegisterOptimization,
328    SharedMemoryOptimization,
329    BlockSizeAdjustment,
330    #[allow(dead_code)]
331    WorkDistributionOptimization,
332    ResourcePartitioning,
333}
334
335/// Kernel fusion analysis engine
336#[derive(Debug)]
337#[allow(dead_code)]
338pub struct KernelFusionAnalyzer {
339    fusion_opportunities: HashMap<String, Vec<FusionOpportunity>>,
340    #[allow(dead_code)]
341    dependency_graph: KernelDependencyGraph,
342    fusion_templates: Vec<FusionTemplate>,
343    cost_benefit_analyzer: FusionCostBenefitAnalyzer,
344}
345
346#[derive(Debug, Clone, Serialize, Deserialize)]
347pub struct FusionOpportunity {
348    pub opportunity_id: Uuid,
349    pub kernel_group: Vec<String>,
350    pub fusion_type: FusionType,
351    pub data_dependencies: Vec<DataDependency>,
352    pub expected_speedup: f64,
353    pub memory_savings: usize,
354    pub implementation_complexity: ImplementationDifficulty,
355    pub fusion_feasibility: FusionFeasibility,
356}
357
358#[derive(Debug, Clone, Serialize, Deserialize)]
359pub enum FusionType {
360    ElementwiseFusion,      // Simple element-wise operations
361    ProducerConsumerFusion, // Producer directly feeds consumer
362    LoopFusion,             // Fuse similar loop structures
363    ReductionFusion,        // Combine multiple reductions
364    ConvolutionFusion,      // Fuse convolution with activation/bias
365    AttentionFusion,        // Fuse attention mechanism components
366}
367
368#[derive(Debug, Clone, Serialize, Deserialize)]
369pub struct DataDependency {
370    pub source_kernel: String,
371    pub target_kernel: String,
372    pub dependency_type: DependencyType,
373    pub data_size: usize,
374    pub access_pattern: String,
375}
376
377#[derive(Debug, Clone, Serialize, Deserialize)]
378pub enum DependencyType {
379    ReadAfterWrite,
380    WriteAfterRead,
381    WriteAfterWrite,
382    Reduction,
383    Broadcast,
384}
385
386#[derive(Debug, Clone, Serialize, Deserialize)]
387pub struct FusionFeasibility {
388    pub resource_constraints_satisfied: bool,
389    pub register_usage_feasible: bool,
390    pub shared_memory_feasible: bool,
391    pub synchronization_complexity: SynchronizationComplexity,
392    pub fusion_confidence: f64,
393}
394
395#[derive(Debug, Clone, Serialize, Deserialize)]
396pub enum SynchronizationComplexity {
397    None,
398    #[allow(dead_code)]
399    Minimal,
400    Moderate,
401    Complex,
402    Prohibitive,
403}
404
405#[derive(Debug)]
406#[allow(dead_code)]
407pub struct KernelDependencyGraph {
408    #[allow(dead_code)]
409    nodes: HashMap<String, KernelNode>,
410    edges: Vec<DependencyEdge>,
411    fusion_clusters: Vec<FusionCluster>,
412}
413
414#[derive(Debug, Clone)]
415pub struct KernelNode {
416    pub kernel_name: String,
417    pub execution_time: Duration,
418    pub memory_footprint: usize,
419    pub resource_requirements: ResourceRequirements,
420}
421
422#[derive(Debug, Clone, Serialize, Deserialize)]
423pub struct ResourceRequirements {
424    pub registers_per_thread: u32,
425    pub shared_memory_per_block: usize,
426    pub max_threads_per_block: u32,
427    pub memory_bandwidth_required: f64,
428}
429
430#[derive(Debug, Clone)]
431pub struct DependencyEdge {
432    pub source: String,
433    pub target: String,
434    pub dependency: DataDependency,
435    pub weight: f64, // Strength of dependency
436}
437
438#[derive(Debug, Clone)]
439pub struct FusionCluster {
440    pub cluster_id: Uuid,
441    pub kernels: Vec<String>,
442    pub fusion_potential: f64,
443    pub estimated_speedup: f64,
444}
445
446#[derive(Debug, Clone, Serialize, Deserialize)]
447pub struct FusionTemplate {
448    pub template_name: String,
449    pub pattern_signature: String,
450    pub applicable_kernels: Vec<String>,
451    pub fusion_strategy: FusionStrategy,
452    pub expected_benefits: FusionBenefits,
453}
454
455#[derive(Debug, Clone, Serialize, Deserialize)]
456pub struct FusionStrategy {
457    pub strategy_name: String,
458    pub implementation_approach: String,
459    pub resource_management: String,
460    pub synchronization_strategy: String,
461}
462
463#[derive(Debug, Clone, Serialize, Deserialize)]
464pub struct FusionBenefits {
465    #[allow(dead_code)]
466    pub memory_bandwidth_reduction: f64,
467    pub kernel_launch_overhead_reduction: f64,
468    pub cache_locality_improvement: f64,
469    pub register_pressure_impact: f64,
470}
471
472/// Fusion cost-benefit analyzer
473#[derive(Debug)]
474#[allow(dead_code)]
475pub struct FusionCostBenefitAnalyzer {
476    #[allow(dead_code)]
477    cost_models: HashMap<FusionType, CostModel>,
478    benefit_predictors: HashMap<FusionType, BenefitPredictor>,
479}
480
481#[derive(Debug, Clone, Serialize, Deserialize)]
482pub struct CostModel {
483    pub fusion_type: FusionType,
484    pub development_cost: f64,
485    pub validation_cost: f64,
486    pub maintenance_cost: f64,
487    pub risk_factor: f64,
488}
489
490#[derive(Debug, Clone, Serialize, Deserialize)]
491pub struct BenefitPredictor {
492    pub fusion_type: FusionType,
493    pub performance_model: PerformanceModel,
494    pub memory_model: MemoryModel,
495    pub energy_model: EnergyModel,
496}
497
498#[derive(Debug, Clone, Serialize, Deserialize)]
499pub struct PerformanceModel {
500    pub base_speedup_factor: f64,
501    pub scaling_factors: HashMap<String, f64>,
502    pub confidence_interval: (f64, f64),
503}
504
505#[derive(Debug, Clone, Serialize, Deserialize)]
506pub struct MemoryModel {
507    pub memory_reduction_factor: f64,
508    pub bandwidth_savings: f64,
509    pub cache_improvement: f64,
510}
511#[allow(dead_code)]
512#[derive(Debug, Clone, Serialize, Deserialize)]
513pub struct EnergyModel {
514    pub energy_reduction_factor: f64,
515    pub power_efficiency_improvement: f64,
516}
517
518/// Performance regression detection
519#[derive(Debug)]
520#[allow(dead_code)]
521pub struct PerformanceRegressionDetector {
522    #[allow(dead_code)]
523    baseline_profiles: HashMap<String, BaselineProfile>,
524    regression_alerts: Vec<RegressionAlert>,
525    statistical_analyzer: StatisticalAnalyzer,
526    alert_thresholds: RegressionThresholds,
527}
528
529#[derive(Debug, Clone, Serialize, Deserialize)]
530pub struct BaselineProfile {
531    pub kernel_name: String,
532    pub baseline_performance: Duration,
533    pub performance_distribution: PerformanceDistribution,
534    pub established_date: SystemTime,
535    pub confidence_interval: (Duration, Duration),
536}
537
538#[derive(Debug, Clone, Serialize, Deserialize)]
539pub struct PerformanceDistribution {
540    pub mean: Duration,
541    pub std_dev: Duration,
542    pub percentiles: HashMap<u8, Duration>, // 50th, 90th, 95th, 99th percentiles
543    pub outlier_threshold: Duration,
544}
545
546#[derive(Debug, Clone, Serialize, Deserialize)]
547pub struct RegressionAlert {
548    pub alert_id: Uuid,
549    pub kernel_name: String,
550    pub alert_type: RegressionType,
551    pub severity: RegressionSeverity,
552    pub current_performance: Duration,
553    pub baseline_performance: Duration,
554    pub regression_magnitude: f64,
555    pub detection_timestamp: SystemTime,
556    pub potential_causes: Vec<String>,
557}
558
559#[derive(Debug, Clone, Serialize, Deserialize)]
560pub enum RegressionType {
561    PerformanceDegradation,
562    MemoryUsageIncrease,
563    OccupancyDecrease,
564    BandwidthUtilizationDrop,
565    EnergyEfficiencyLoss,
566}
567
568#[derive(Debug, Clone, Serialize, Deserialize)]
569pub enum RegressionSeverity {
570    Minor,    // < 5% regression
571    Moderate, // 5-15% regression
572    Major,    // 15-30% regression
573    Critical, // > 30% regression
574}
575
576#[derive(Debug, Clone, Serialize, Deserialize)]
577pub struct RegressionThresholds {
578    pub minor_threshold: f64,
579    pub moderate_threshold: f64,
580    pub major_threshold: f64,
581    pub critical_threshold: f64,
582    pub detection_window: Duration,
583    pub confidence_level: f64,
584}
585
586#[derive(Debug)]
587#[allow(dead_code)]
588pub struct StatisticalAnalyzer {
589    #[allow(dead_code)]
590    sample_size_requirements: HashMap<String, usize>,
591    statistical_tests: Vec<StatisticalTest>,
592}
593
594#[derive(Debug, Clone, Serialize, Deserialize)]
595pub struct StatisticalTest {
596    pub test_name: String,
597    pub test_type: TestType,
598    pub significance_level: f64,
599    pub power: f64,
600}
601
602#[derive(Debug, Clone, Serialize, Deserialize)]
603pub enum TestType {
604    TTest,
605    MannWhitneyU,
606    KolmogorovSmirnov,
607    ChangePointDetection,
608    AnomalyDetection,
609}
610
611// Implementation of the main analyzer
612
613impl KernelOptimizationAnalyzer {
614    pub fn new() -> Result<Self> {
615        Ok(Self {
616            kernel_profiles: HashMap::new(),
617            optimization_suggestions: HashMap::new(),
618            launch_config_analyzer: LaunchConfigAnalyzer::new()?,
619            memory_access_analyzer: MemoryAccessAnalyzer::new()?,
620            compute_utilization_analyzer: ComputeUtilizationAnalyzer::new()?,
621            fusion_analyzer: KernelFusionAnalyzer::new()?,
622            performance_regression_detector: PerformanceRegressionDetector::new()?,
623        })
624    }
625
626    /// Create a stub analyzer for fallback when initialization fails
627    pub fn new_stub() -> Self {
628        Self {
629            kernel_profiles: HashMap::new(),
630            optimization_suggestions: HashMap::new(),
631            launch_config_analyzer: LaunchConfigAnalyzer::new_stub(),
632            memory_access_analyzer: MemoryAccessAnalyzer::new_stub(),
633            compute_utilization_analyzer: ComputeUtilizationAnalyzer::new_stub(),
634            fusion_analyzer: KernelFusionAnalyzer::new_stub(),
635            performance_regression_detector: PerformanceRegressionDetector::new_stub(),
636        }
637    }
638
639    /// Analyze a kernel execution and generate optimization suggestions
640    pub fn analyze_kernel(
641        &mut self,
642        kernel_name: &str,
643        profile_data: KernelProfileData,
644    ) -> Result<Vec<KernelOptimization>> {
645        // Update kernel profile
646        self.update_kernel_profile(kernel_name, profile_data.clone())?;
647
648        // Analyze different aspects
649        let launch_config_optimizations =
650            self.launch_config_analyzer.analyze(kernel_name, &profile_data)?;
651        let memory_optimizations =
652            self.memory_access_analyzer.analyze(kernel_name, &profile_data)?;
653        let compute_optimizations =
654            self.compute_utilization_analyzer.analyze(kernel_name, &profile_data)?;
655
656        // Combine all optimizations
657        let mut all_optimizations = Vec::new();
658        all_optimizations.extend(launch_config_optimizations);
659        all_optimizations.extend(memory_optimizations);
660        all_optimizations.extend(compute_optimizations);
661
662        // Rank optimizations by expected impact
663        all_optimizations.sort_by(|a, b| {
664            b.expected_improvement
665                .performance_gain_percentage
666                .partial_cmp(&a.expected_improvement.performance_gain_percentage)
667                .unwrap_or(std::cmp::Ordering::Equal)
668        });
669
670        // Store suggestions
671        self.optimization_suggestions
672            .insert(kernel_name.to_string(), all_optimizations.clone());
673
674        // Check for performance regressions
675        self.performance_regression_detector
676            .check_regression(kernel_name, &profile_data)?;
677
678        Ok(all_optimizations)
679    }
680
681    /// Analyze kernel fusion opportunities
682    pub fn analyze_fusion_opportunities(
683        &mut self,
684        kernel_sequence: &[String],
685    ) -> Result<Vec<FusionOpportunity>> {
686        self.fusion_analyzer.find_fusion_opportunities(kernel_sequence)
687    }
688
689    /// Get comprehensive optimization report for a kernel
690    pub fn get_optimization_report(&self, kernel_name: &str) -> Result<KernelOptimizationReport> {
691        let profile = self
692            .kernel_profiles
693            .get(kernel_name)
694            .ok_or_else(|| anyhow::anyhow!("Kernel profile not found: {}", kernel_name))?;
695
696        let optimizations =
697            self.optimization_suggestions.get(kernel_name).cloned().unwrap_or_default();
698
699        let launch_config_analysis = self.launch_config_analyzer.get_analysis(kernel_name)?;
700        let memory_analysis = self.memory_access_analyzer.get_analysis(kernel_name)?;
701        let compute_analysis = self.compute_utilization_analyzer.get_analysis(kernel_name)?;
702
703        let fusion_opportunities =
704            self.fusion_analyzer.get_opportunities_for_kernel(kernel_name)?;
705        let regression_status = self.performance_regression_detector.get_status(kernel_name)?;
706
707        Ok(KernelOptimizationReport {
708            kernel_name: kernel_name.to_string(),
709            current_performance: profile.clone(),
710            optimization_suggestions: optimizations,
711            launch_config_analysis,
712            memory_analysis,
713            compute_analysis,
714            fusion_opportunities,
715            regression_status,
716            overall_optimization_potential: self.calculate_optimization_potential(kernel_name)?,
717        })
718    }
719
720    fn update_kernel_profile(
721        &mut self,
722        kernel_name: &str,
723        profile_data: KernelProfileData,
724    ) -> Result<()> {
725        let profile = self.kernel_profiles.entry(kernel_name.to_string()).or_insert_with(|| {
726            KernelExecutionProfile {
727                kernel_name: kernel_name.to_string(),
728                execution_count: 0,
729                total_execution_time: Duration::ZERO,
730                avg_execution_time: Duration::ZERO,
731                min_execution_time: Duration::MAX,
732                max_execution_time: Duration::ZERO,
733                grid_sizes: Vec::new(),
734                block_sizes: Vec::new(),
735                shared_memory_usage: Vec::new(),
736                register_usage: Vec::new(),
737                occupancy_measurements: Vec::new(),
738                compute_utilization: Vec::new(),
739                memory_bandwidth_utilization: Vec::new(),
740                warp_efficiency: Vec::new(),
741                memory_efficiency: Vec::new(),
742            }
743        });
744
745        // Update profile with new data
746        profile.execution_count += 1;
747        profile.total_execution_time += profile_data.execution_time;
748        profile.avg_execution_time = profile.total_execution_time / profile.execution_count as u32;
749
750        if profile_data.execution_time < profile.min_execution_time {
751            profile.min_execution_time = profile_data.execution_time;
752        }
753        if profile_data.execution_time > profile.max_execution_time {
754            profile.max_execution_time = profile_data.execution_time;
755        }
756
757        profile.grid_sizes.push(profile_data.grid_size);
758        profile.block_sizes.push(profile_data.block_size);
759        profile.shared_memory_usage.push(profile_data.shared_memory_bytes);
760        profile.register_usage.push(profile_data.registers_per_thread);
761        profile.occupancy_measurements.push(profile_data.occupancy);
762        profile.compute_utilization.push(profile_data.compute_utilization);
763        profile
764            .memory_bandwidth_utilization
765            .push(profile_data.memory_bandwidth_utilization);
766        profile.warp_efficiency.push(profile_data.warp_efficiency);
767        profile.memory_efficiency.push(profile_data.memory_efficiency);
768
769        Ok(())
770    }
771
772    fn calculate_optimization_potential(&self, kernel_name: &str) -> Result<OptimizationPotential> {
773        let optimizations = self
774            .optimization_suggestions
775            .get(kernel_name)
776            .ok_or_else(|| anyhow::anyhow!("No optimizations found for kernel: {}", kernel_name))?;
777
778        let max_performance_gain = optimizations
779            .iter()
780            .map(|opt| opt.expected_improvement.performance_gain_percentage)
781            .fold(0.0, f64::max);
782
783        let total_memory_savings = optimizations
784            .iter()
785            .map(|opt| opt.expected_improvement.memory_usage_reduction_percentage)
786            .sum::<f64>();
787
788        let avg_implementation_difficulty = optimizations
789            .iter()
790            .map(|opt| match opt.implementation_difficulty {
791                ImplementationDifficulty::Trivial => 1.0,
792                ImplementationDifficulty::Easy => 2.0,
793                ImplementationDifficulty::Moderate => 3.0,
794                ImplementationDifficulty::Difficult => 4.0,
795                ImplementationDifficulty::Expert => 5.0,
796            })
797            .sum::<f64>()
798            / optimizations.len() as f64;
799
800        Ok(OptimizationPotential {
801            max_performance_gain,
802            total_memory_savings,
803            avg_implementation_difficulty,
804            optimization_count: optimizations.len(),
805            priority_score: self
806                .calculate_priority_score(max_performance_gain, avg_implementation_difficulty),
807        })
808    }
809
810    fn calculate_priority_score(&self, performance_gain: f64, difficulty: f64) -> f64 {
811        // Higher score = higher priority
812        // Balance performance gain against implementation difficulty
813        performance_gain / (difficulty * difficulty)
814    }
815}
816
817// Helper structures and implementations
818
819#[derive(Debug, Clone, Serialize, Deserialize)]
820pub struct KernelProfileData {
821    pub execution_time: Duration,
822    pub grid_size: (u32, u32, u32),
823    pub block_size: (u32, u32, u32),
824    pub shared_memory_bytes: usize,
825    pub registers_per_thread: u32,
826    pub occupancy: f64,
827    pub compute_utilization: f64,
828    pub memory_bandwidth_utilization: f64,
829    pub warp_efficiency: f64,
830    pub memory_efficiency: f64,
831}
832
833#[derive(Debug, Clone, Serialize, Deserialize)]
834pub struct KernelOptimizationReport {
835    pub kernel_name: String,
836    pub current_performance: KernelExecutionProfile,
837    pub optimization_suggestions: Vec<KernelOptimization>,
838    pub launch_config_analysis: LaunchConfigAnalysisResult,
839    pub memory_analysis: MemoryAnalysisResult,
840    pub compute_analysis: ComputeAnalysisResult,
841    pub fusion_opportunities: Vec<FusionOpportunity>,
842    pub regression_status: RegressionStatus,
843    pub overall_optimization_potential: OptimizationPotential,
844}
845
846#[derive(Debug, Clone, Serialize, Deserialize)]
847pub struct OptimizationPotential {
848    pub max_performance_gain: f64,
849    pub total_memory_savings: f64,
850    pub avg_implementation_difficulty: f64,
851    pub optimization_count: usize,
852    pub priority_score: f64,
853}
854
855#[derive(Debug, Clone, Serialize, Deserialize)]
856pub struct LaunchConfigAnalysisResult {
857    pub current_config: (u32, u32, u32, u32, u32, u32), // grid + block
858    pub optimal_config: OptimalLaunchConfig,
859    pub configuration_recommendations: Vec<ConfigurationRecommendation>,
860}
861
862#[derive(Debug, Clone, Serialize, Deserialize)]
863pub struct ConfigurationRecommendation {
864    pub recommendation_type: ConfigurationRecommendationType,
865    pub current_value: String,
866    pub recommended_value: String,
867    pub expected_improvement: f64,
868    pub rationale: String,
869}
870
871#[derive(Debug, Clone, Serialize, Deserialize)]
872pub enum ConfigurationRecommendationType {
873    BlockSizeOptimization,
874    GridSizeOptimization,
875    SharedMemoryOptimization,
876    OccupancyImprovement,
877}
878
879#[derive(Debug, Clone, Serialize, Deserialize)]
880pub struct MemoryAnalysisResult {
881    pub access_pattern_analysis: MemoryAccessAnalysis,
882    pub coalescing_analysis: CoalescingAnalysis,
883    pub cache_performance: CachePerformanceAnalysis,
884    pub memory_optimization_recommendations: Vec<MemoryOptimizationRecommendation>,
885}
886
887#[derive(Debug, Clone, Serialize, Deserialize)]
888pub struct MemoryOptimizationRecommendation {
889    pub recommendation_type: MemoryOptimizationRecommendationType,
890    pub description: String,
891    pub expected_improvement: f64,
892    pub implementation_steps: Vec<String>,
893}
894
895#[derive(Debug, Clone, Serialize, Deserialize)]
896pub enum MemoryOptimizationRecommendationType {
897    CoalescingImprovement,
898    CacheOptimization,
899    StrideOptimization,
900    BankConflictResolution,
901    PrefetchingStrategy,
902}
903
904#[derive(Debug, Clone, Serialize, Deserialize)]
905pub struct ComputeAnalysisResult {
906    pub utilization_profile: ComputeUtilizationProfile,
907    pub bottleneck_analysis: ComputeBottleneckAnalysis,
908    pub arithmetic_intensity_analysis: ArithmeticIntensityProfile,
909    pub resource_utilization_recommendations: Vec<ResourceOptimizationRecommendation>,
910}
911
912#[derive(Debug, Clone, Serialize, Deserialize)]
913pub struct ResourceOptimizationRecommendation {
914    pub recommendation_type: ResourceOptimizationRecommendationType,
915    pub description: String,
916    pub expected_benefit: f64,
917    pub resource_impact: ResourceImpact,
918}
919
920#[derive(Debug, Clone, Serialize, Deserialize)]
921pub enum ResourceOptimizationRecommendationType {
922    RegisterOptimization,
923    SharedMemoryOptimization,
924    OccupancyImprovement,
925    ComputeIntensityBalance,
926    ResourceLoadBalancing,
927}
928
929#[derive(Debug, Clone, Serialize, Deserialize)]
930pub struct ResourceImpact {
931    pub register_usage_change: i32,
932    pub shared_memory_change: i32,
933    pub occupancy_change: f64,
934    pub performance_change: f64,
935}
936
937#[derive(Debug, Clone, Serialize, Deserialize)]
938pub struct RegressionStatus {
939    pub has_regression: bool,
940    pub regression_alerts: Vec<RegressionAlert>,
941    pub performance_trend: PerformanceTrend,
942    pub baseline_comparison: BaselineComparison,
943}
944
945#[derive(Debug, Clone, Serialize, Deserialize)]
946pub enum PerformanceTrend {
947    Improving,
948    Stable,
949    Degrading,
950    Volatile,
951}
952
953#[derive(Debug, Clone, Serialize, Deserialize)]
954pub struct BaselineComparison {
955    pub current_vs_baseline: f64, // Percentage difference
956    pub statistical_significance: f64,
957    pub confidence_interval: (f64, f64),
958}
959
960// Implementation stubs for sub-analyzers
961
962impl LaunchConfigAnalyzer {
963    fn new() -> Result<Self> {
964        Ok(Self {
965            optimal_configs: HashMap::new(),
966            config_performance_history: HashMap::new(),
967            autotuning_enabled: true,
968            search_space_cache: HashMap::new(),
969        })
970    }
971
972    fn new_stub() -> Self {
973        Self {
974            optimal_configs: HashMap::new(),
975            config_performance_history: HashMap::new(),
976            autotuning_enabled: false,
977            search_space_cache: HashMap::new(),
978        }
979    }
980
981    fn analyze(
982        &mut self,
983        _kernel_name: &str,
984        _profile_data: &KernelProfileData,
985    ) -> Result<Vec<KernelOptimization>> {
986        // Simplified implementation - would perform actual launch config analysis
987        Ok(vec![])
988    }
989
990    fn get_analysis(&self, kernel_name: &str) -> Result<LaunchConfigAnalysisResult> {
991        // Simplified implementation
992        Ok(LaunchConfigAnalysisResult {
993            current_config: (1, 1, 1, 256, 1, 1),
994            optimal_config: OptimalLaunchConfig {
995                kernel_name: kernel_name.to_string(),
996                optimal_block_size: (256, 1, 1),
997                optimal_grid_size: (1024, 1, 1),
998                optimal_shared_memory: 0,
999                expected_occupancy: 1.0,
1000                expected_performance: 1.0,
1001                constraints: vec![],
1002            },
1003            configuration_recommendations: vec![],
1004        })
1005    }
1006}
1007
1008impl MemoryAccessAnalyzer {
1009    fn new() -> Result<Self> {
1010        Ok(Self {
1011            access_patterns: HashMap::new(),
1012            coalescing_analysis: HashMap::new(),
1013            cache_performance: HashMap::new(),
1014            stride_analysis: HashMap::new(),
1015            bank_conflict_analyzer: BankConflictAnalyzer::new()?,
1016        })
1017    }
1018
1019    fn new_stub() -> Self {
1020        Self {
1021            access_patterns: HashMap::new(),
1022            coalescing_analysis: HashMap::new(),
1023            cache_performance: HashMap::new(),
1024            stride_analysis: HashMap::new(),
1025            bank_conflict_analyzer: BankConflictAnalyzer::new_stub(),
1026        }
1027    }
1028
1029    fn analyze(
1030        &mut self,
1031        _kernel_name: &str,
1032        _profile_data: &KernelProfileData,
1033    ) -> Result<Vec<KernelOptimization>> {
1034        // Simplified implementation
1035        Ok(vec![])
1036    }
1037
1038    fn get_analysis(&self, kernel_name: &str) -> Result<MemoryAnalysisResult> {
1039        // Simplified implementation
1040        Ok(MemoryAnalysisResult {
1041            access_pattern_analysis: MemoryAccessAnalysis {
1042                kernel_name: kernel_name.to_string(),
1043                total_memory_transactions: 0,
1044                coalesced_transactions: 0,
1045                uncoalesced_transactions: 0,
1046                stride_patterns: vec![],
1047                access_locality: AccessLocalityMetrics {
1048                    temporal_locality_score: 0.8,
1049                    spatial_locality_score: 0.9,
1050                    working_set_size: 1024,
1051                    reuse_distance_avg: 10.0,
1052                },
1053                bank_conflicts: 0,
1054                cache_line_utilization: 0.85,
1055            },
1056            coalescing_analysis: CoalescingAnalysis {
1057                kernel_name: kernel_name.to_string(),
1058                coalescing_efficiency: 0.9,
1059                uncoalesced_regions: vec![],
1060                suggested_improvements: vec![],
1061            },
1062            cache_performance: CachePerformanceAnalysis {
1063                kernel_name: kernel_name.to_string(),
1064                l1_cache_hit_rate: 0.85,
1065                l2_cache_hit_rate: 0.70,
1066                texture_cache_hit_rate: 0.95,
1067                shared_memory_bank_conflicts: 0,
1068                cache_thrashing_detected: false,
1069                recommended_cache_optimizations: vec![],
1070            },
1071            memory_optimization_recommendations: vec![],
1072        })
1073    }
1074}
1075
1076impl ComputeUtilizationAnalyzer {
1077    fn new() -> Result<Self> {
1078        Ok(Self {
1079            utilization_profiles: HashMap::new(),
1080            bottleneck_analysis: HashMap::new(),
1081            arithmetic_intensity_analyzer: ArithmeticIntensityAnalyzer::new()?,
1082            resource_balancer: ResourceBalancer::new()?,
1083        })
1084    }
1085
1086    fn new_stub() -> Self {
1087        Self {
1088            utilization_profiles: HashMap::new(),
1089            bottleneck_analysis: HashMap::new(),
1090            arithmetic_intensity_analyzer: ArithmeticIntensityAnalyzer::new_stub(),
1091            resource_balancer: ResourceBalancer::new_stub(),
1092        }
1093    }
1094
1095    fn analyze(
1096        &mut self,
1097        _kernel_name: &str,
1098        _profile_data: &KernelProfileData,
1099    ) -> Result<Vec<KernelOptimization>> {
1100        // Simplified implementation
1101        Ok(vec![])
1102    }
1103
1104    fn get_analysis(&self, kernel_name: &str) -> Result<ComputeAnalysisResult> {
1105        // Simplified implementation
1106        Ok(ComputeAnalysisResult {
1107            utilization_profile: ComputeUtilizationProfile {
1108                kernel_name: kernel_name.to_string(),
1109                arithmetic_intensity: 2.5,
1110                compute_throughput: 1000.0,
1111                memory_throughput: 800.0,
1112                compute_to_memory_ratio: 1.25,
1113                warp_execution_efficiency: 0.95,
1114                instruction_mix: InstructionMixAnalysis {
1115                    integer_ops_percentage: 20.0,
1116                    float_ops_percentage: 70.0,
1117                    double_ops_percentage: 5.0,
1118                    special_function_ops_percentage: 2.0,
1119                    memory_ops_percentage: 25.0,
1120                    control_flow_ops_percentage: 3.0,
1121                },
1122                resource_utilization: ResourceUtilizationMetrics {
1123                    register_utilization: 0.75,
1124                    shared_memory_utilization: 0.60,
1125                    constant_memory_utilization: 0.30,
1126                    texture_cache_utilization: 0.80,
1127                    compute_unit_utilization: 0.85,
1128                },
1129            },
1130            bottleneck_analysis: ComputeBottleneckAnalysis {
1131                kernel_name: kernel_name.to_string(),
1132                primary_bottleneck: ComputeBottleneckType::MemoryBandwidth,
1133                bottleneck_severity: 0.6,
1134                contributing_factors: vec![],
1135                optimization_opportunities: vec![],
1136            },
1137            arithmetic_intensity_analysis: ArithmeticIntensityProfile {
1138                kernel_name: kernel_name.to_string(),
1139                operations_per_byte: 2.5,
1140                compute_intensity: ComputeIntensityCategory::Balanced,
1141                memory_bound_ratio: 0.6,
1142                compute_bound_ratio: 0.4,
1143                roofline_position: RooflinePosition {
1144                    current_performance: 800.0,
1145                    theoretical_peak: 1000.0,
1146                    memory_bandwidth_limit: 900.0,
1147                    efficiency_percentage: 80.0,
1148                },
1149                optimization_direction: OptimizationDirection::IncreaseComputeIntensity,
1150            },
1151            resource_utilization_recommendations: vec![],
1152        })
1153    }
1154}
1155
1156impl KernelFusionAnalyzer {
1157    fn new() -> Result<Self> {
1158        Ok(Self {
1159            fusion_opportunities: HashMap::new(),
1160            dependency_graph: KernelDependencyGraph::new(),
1161            fusion_templates: vec![],
1162            cost_benefit_analyzer: FusionCostBenefitAnalyzer::new()?,
1163        })
1164    }
1165
1166    fn new_stub() -> Self {
1167        Self {
1168            fusion_opportunities: HashMap::new(),
1169            dependency_graph: KernelDependencyGraph::new(),
1170            fusion_templates: vec![],
1171            cost_benefit_analyzer: FusionCostBenefitAnalyzer::new_stub(),
1172        }
1173    }
1174
1175    fn find_fusion_opportunities(
1176        &mut self,
1177        _kernel_sequence: &[String],
1178    ) -> Result<Vec<FusionOpportunity>> {
1179        // Simplified implementation
1180        Ok(vec![])
1181    }
1182
1183    fn get_opportunities_for_kernel(&self, kernel_name: &str) -> Result<Vec<FusionOpportunity>> {
1184        Ok(self.fusion_opportunities.get(kernel_name).cloned().unwrap_or_default())
1185    }
1186}
1187
1188impl PerformanceRegressionDetector {
1189    fn new() -> Result<Self> {
1190        Ok(Self {
1191            baseline_profiles: HashMap::new(),
1192            regression_alerts: vec![],
1193            statistical_analyzer: StatisticalAnalyzer::new()?,
1194            alert_thresholds: RegressionThresholds {
1195                minor_threshold: 0.05,
1196                moderate_threshold: 0.15,
1197                major_threshold: 0.30,
1198                critical_threshold: 0.50,
1199                detection_window: Duration::from_secs(3600),
1200                confidence_level: 0.95,
1201            },
1202        })
1203    }
1204
1205    fn new_stub() -> Self {
1206        Self {
1207            baseline_profiles: HashMap::new(),
1208            regression_alerts: vec![],
1209            statistical_analyzer: StatisticalAnalyzer::new_stub(),
1210            alert_thresholds: RegressionThresholds {
1211                minor_threshold: 0.05,
1212                moderate_threshold: 0.15,
1213                major_threshold: 0.30,
1214                critical_threshold: 0.50,
1215                detection_window: Duration::from_secs(3600),
1216                confidence_level: 0.95,
1217            },
1218        }
1219    }
1220
1221    fn check_regression(
1222        &mut self,
1223        _kernel_name: &str,
1224        _profile_data: &KernelProfileData,
1225    ) -> Result<()> {
1226        // Simplified implementation - would perform statistical regression analysis
1227        Ok(())
1228    }
1229
1230    fn get_status(&self, _kernel_name: &str) -> Result<RegressionStatus> {
1231        Ok(RegressionStatus {
1232            has_regression: false,
1233            regression_alerts: vec![],
1234            performance_trend: PerformanceTrend::Stable,
1235            baseline_comparison: BaselineComparison {
1236                current_vs_baseline: 0.0,
1237                statistical_significance: 0.95,
1238                confidence_interval: (-0.05, 0.05),
1239            },
1240        })
1241    }
1242}
1243
1244// Implementation stubs for remaining analyzers
1245
1246impl BankConflictAnalyzer {
1247    fn new() -> Result<Self> {
1248        Ok(Self {
1249            conflict_patterns: HashMap::new(),
1250            resolution_strategies: HashMap::new(),
1251        })
1252    }
1253
1254    fn new_stub() -> Self {
1255        Self {
1256            conflict_patterns: HashMap::new(),
1257            resolution_strategies: HashMap::new(),
1258        }
1259    }
1260}
1261
1262impl ArithmeticIntensityAnalyzer {
1263    fn new() -> Result<Self> {
1264        Ok(Self {
1265            intensity_profiles: HashMap::new(),
1266            roofline_models: HashMap::new(),
1267        })
1268    }
1269
1270    fn new_stub() -> Self {
1271        Self {
1272            intensity_profiles: HashMap::new(),
1273            roofline_models: HashMap::new(),
1274        }
1275    }
1276}
1277
1278impl ResourceBalancer {
1279    fn new() -> Result<Self> {
1280        Ok(Self {
1281            resource_profiles: HashMap::new(),
1282            balancing_strategies: HashMap::new(),
1283        })
1284    }
1285
1286    fn new_stub() -> Self {
1287        Self {
1288            resource_profiles: HashMap::new(),
1289            balancing_strategies: HashMap::new(),
1290        }
1291    }
1292}
1293
1294impl KernelDependencyGraph {
1295    fn new() -> Self {
1296        Self {
1297            nodes: HashMap::new(),
1298            edges: vec![],
1299            fusion_clusters: vec![],
1300        }
1301    }
1302}
1303
1304impl FusionCostBenefitAnalyzer {
1305    fn new() -> Result<Self> {
1306        Ok(Self {
1307            cost_models: HashMap::new(),
1308            benefit_predictors: HashMap::new(),
1309        })
1310    }
1311
1312    fn new_stub() -> Self {
1313        Self {
1314            cost_models: HashMap::new(),
1315            benefit_predictors: HashMap::new(),
1316        }
1317    }
1318}
1319
1320impl StatisticalAnalyzer {
1321    fn new() -> Result<Self> {
1322        Ok(Self {
1323            sample_size_requirements: HashMap::new(),
1324            statistical_tests: vec![],
1325        })
1326    }
1327
1328    fn new_stub() -> Self {
1329        Self {
1330            sample_size_requirements: HashMap::new(),
1331            statistical_tests: vec![],
1332        }
1333    }
1334}
1335
1336/// Configuration for kernel optimization analysis
1337#[derive(Debug, Clone, Serialize, Deserialize)]
1338pub struct KernelOptimizationConfig {
1339    /// Enable launch configuration optimization
1340    pub enable_launch_config_optimization: bool,
1341    /// Enable memory access optimization
1342    pub enable_memory_access_optimization: bool,
1343    /// Enable kernel fusion analysis
1344    pub enable_kernel_fusion: bool,
1345    /// Enable performance regression detection
1346    pub enable_regression_detection: bool,
1347    /// Maximum number of optimization suggestions per kernel
1348    pub max_optimization_suggestions: usize,
1349    /// Minimum performance improvement threshold (percentage)
1350    pub min_improvement_threshold: f64,
1351}
1352
1353impl Default for KernelOptimizationConfig {
1354    fn default() -> Self {
1355        Self {
1356            enable_launch_config_optimization: true,
1357            enable_memory_access_optimization: true,
1358            enable_kernel_fusion: true,
1359            enable_regression_detection: true,
1360            max_optimization_suggestions: 10,
1361            min_improvement_threshold: 5.0,
1362        }
1363    }
1364}
trustformers_debug/kernel_optimizer.rs

trustformers_debug/
kernel_optimizer.rs
