trustformers_debug/
advanced_gpu_profiler.rs

1//! Advanced GPU profiling and kernel optimization tools
2//!
3//! This module provides comprehensive GPU memory analysis, kernel optimization
4//! suggestions, and advanced profiling capabilities for CUDA/ROCm/OpenCL kernels.
5
6use anyhow::Result;
7use chrono::{DateTime, Utc};
8use serde::{Deserialize, Serialize};
9use std::collections::{HashMap, VecDeque};
10use std::time::{Duration, SystemTime};
11use uuid::Uuid;
12
13/// Advanced GPU memory profiler with fragmentation analysis
14#[derive(Debug)]
15pub struct AdvancedGpuMemoryProfiler {
16    #[allow(dead_code)]
17    device_count: i32,
18    memory_pools: HashMap<i32, GpuMemoryPool>,
19    memory_allocations: HashMap<Uuid, GpuMemoryAllocation>,
20    fragmentation_history: VecDeque<MemoryFragmentationSnapshot>,
21    bandwidth_monitors: HashMap<i32, GpuBandwidthMonitor>,
22    memory_pressure_monitor: MemoryPressureMonitor,
23    cross_device_transfers: Vec<CrossDeviceTransfer>,
24}
25
26/// GPU memory allocation with detailed tracking
27#[derive(Debug, Clone, Serialize, Deserialize)]
28pub struct GpuMemoryAllocation {
29    pub allocation_id: Uuid,
30    pub device_id: i32,
31    pub size_bytes: usize,
32    pub alignment: usize,
33    pub memory_type: GpuMemoryType,
34    pub allocation_context: AllocationContext,
35    pub timestamp: SystemTime,
36    pub freed: bool,
37    pub free_timestamp: Option<SystemTime>,
38    pub access_pattern: MemoryAccessPattern,
39    pub usage_statistics: MemoryUsageStats,
40}
41
42#[derive(Debug, Clone, Serialize, Deserialize)]
43pub enum GpuMemoryType {
44    Global,
45    Shared,
46    Constant,
47    Texture,
48    Local,
49    Unified,
50    Pinned,
51}
52
53#[derive(Debug, Clone, Serialize, Deserialize)]
54pub struct AllocationContext {
55    pub kernel_name: Option<String>,
56    pub tensor_name: Option<String>,
57    pub layer_name: Option<String>,
58    pub allocation_source: AllocationSource,
59    pub stack_trace: Vec<String>,
60}
61
62#[derive(Debug, Clone, Serialize, Deserialize)]
63pub enum AllocationSource {
64    TensorCreation,
65    KernelLaunch,
66    IntermediateBuffer,
67    GradientBuffer,
68    WeightBuffer,
69    ActivationBuffer,
70    CacheBuffer,
71}
72
73#[derive(Debug, Clone, Serialize, Deserialize)]
74pub struct MemoryAccessPattern {
75    pub access_frequency: f64,
76    pub read_ratio: f64,
77    pub write_ratio: f64,
78    pub sequential_access_ratio: f64,
79    pub random_access_ratio: f64,
80    pub coalesced_access_ratio: f64,
81    pub cache_hit_rate: f64,
82}
83
84#[derive(Debug, Clone, Serialize, Deserialize, Default)]
85pub struct MemoryUsageStats {
86    pub total_accesses: u64,
87    pub bytes_read: u64,
88    pub bytes_written: u64,
89    pub lifetime_duration: Option<Duration>,
90    pub peak_concurrent_usage: usize,
91}
92
93/// Memory fragmentation analysis
94#[derive(Debug, Clone, Serialize, Deserialize)]
95pub struct MemoryFragmentationSnapshot {
96    pub timestamp: DateTime<Utc>,
97    pub device_id: i32,
98    pub total_memory: usize,
99    pub free_memory: usize,
100    pub largest_free_block: usize,
101    pub fragmentation_ratio: f64,
102    pub free_block_distribution: Vec<usize>,
103    pub external_fragmentation: f64,
104    pub internal_fragmentation: f64,
105}
106
107/// GPU bandwidth monitoring
108#[derive(Debug)]
109#[allow(dead_code)]
110pub struct GpuBandwidthMonitor {
111    #[allow(dead_code)]
112    device_id: i32,
113    bandwidth_samples: VecDeque<BandwidthSample>,
114    theoretical_bandwidth: f64, // GB/s
115    peak_observed_bandwidth: f64,
116    sustained_bandwidth_history: Vec<SustainedBandwidthMeasurement>,
117}
118
119#[derive(Debug, Clone, Serialize, Deserialize)]
120pub struct BandwidthSample {
121    pub timestamp: SystemTime,
122    pub memory_type: GpuMemoryType,
123    pub operation_type: MemoryOperationType,
124    pub bytes_transferred: usize,
125    pub duration: Duration,
126    pub achieved_bandwidth_gb_s: f64,
127    pub efficiency_percentage: f64,
128}
129
130#[derive(Debug, Clone, Serialize, Deserialize)]
131pub enum MemoryOperationType {
132    HostToDevice,
133    DeviceToHost,
134    DeviceToDevice,
135    KernelMemoryAccess,
136    PeerToPeer,
137}
138
139#[derive(Debug, Clone, Serialize, Deserialize)]
140pub struct SustainedBandwidthMeasurement {
141    pub duration: Duration,
142    pub avg_bandwidth_gb_s: f64,
143    pub min_bandwidth_gb_s: f64,
144    pub max_bandwidth_gb_s: f64,
145    pub bandwidth_variability: f64,
146}
147
148/// Memory pressure monitoring
149#[derive(Debug)]
150#[allow(dead_code)]
151pub struct MemoryPressureMonitor {
152    pressure_history: VecDeque<MemoryPressureSnapshot>,
153    #[allow(dead_code)]
154    pressure_thresholds: MemoryPressureThresholds,
155    auto_optimization_enabled: bool,
156}
157
158#[derive(Debug, Clone, Serialize, Deserialize)]
159pub struct MemoryPressureSnapshot {
160    pub timestamp: DateTime<Utc>,
161    pub device_id: i32,
162    pub pressure_level: MemoryPressureLevel,
163    pub available_memory_ratio: f64,
164    pub allocation_rate: f64, // allocations per second
165    pub deallocation_rate: f64,
166    pub gc_pressure: f64,
167    pub swap_activity: f64,
168}
169
170#[derive(Debug, Clone, Serialize, Deserialize)]
171pub enum MemoryPressureLevel {
172    Low,
173    Medium,
174    High,
175    Critical,
176}
177
178#[derive(Debug, Clone, Serialize, Deserialize)]
179pub struct MemoryPressureThresholds {
180    pub medium_threshold: f64, // 0.7 = 70% memory usage triggers medium pressure
181    pub high_threshold: f64,   // 0.85 = 85% memory usage triggers high pressure
182    pub critical_threshold: f64, // 0.95 = 95% memory usage triggers critical pressure
183}
184
185/// Cross-device memory transfer tracking
186#[derive(Debug, Clone, Serialize, Deserialize)]
187pub struct CrossDeviceTransfer {
188    pub transfer_id: Uuid,
189    pub source_device: i32,
190    pub target_device: i32,
191    pub bytes_transferred: usize,
192    pub transfer_type: CrossDeviceTransferType,
193    pub duration: Duration,
194    pub bandwidth_achieved: f64,
195    pub p2p_enabled: bool,
196    pub timestamp: SystemTime,
197}
198
199#[derive(Debug, Clone, Serialize, Deserialize)]
200pub enum CrossDeviceTransferType {
201    DirectMemoryAccess,
202    PeerToPeer,
203    HostBounced,
204    NvLink,
205    Infinity,
206}
207
208#[derive(Debug, Clone, Serialize, Deserialize)]
209pub struct KernelExecutionProfile {
210    pub kernel_name: String,
211    pub execution_count: usize,
212    pub total_execution_time: Duration,
213    pub avg_execution_time: Duration,
214    pub min_execution_time: Duration,
215    pub max_execution_time: Duration,
216    pub grid_sizes: Vec<(u32, u32, u32)>,
217    pub block_sizes: Vec<(u32, u32, u32)>,
218    pub shared_memory_usage: Vec<usize>,
219    pub register_usage: Vec<u32>,
220    pub occupancy_measurements: Vec<f64>,
221    pub compute_utilization: Vec<f64>,
222    pub memory_bandwidth_utilization: Vec<f64>,
223    pub warp_efficiency: Vec<f64>,
224    pub memory_efficiency: Vec<f64>,
225}
226
227#[derive(Debug, Clone, Serialize, Deserialize)]
228pub struct KernelOptimization {
229    pub optimization_type: OptimizationType,
230    pub current_value: OptimizationValue,
231    pub suggested_value: OptimizationValue,
232    pub expected_improvement: ExpectedImprovement,
233    pub confidence: f64,
234    pub explanation: String,
235    pub implementation_difficulty: ImplementationDifficulty,
236}
237
238#[derive(Debug, Clone, Serialize, Deserialize)]
239pub enum OptimizationType {
240    BlockSize,
241    GridSize,
242    SharedMemory,
243    RegisterOptimization,
244    MemoryCoalescing,
245    WarpDivergence,
246    KernelFusion,
247    MemoryLayoutOptimization,
248    ComputeIntensityBalance,
249}
250
251#[derive(Debug, Clone, Serialize, Deserialize)]
252pub enum OptimizationValue {
253    IntegerValue(u32),
254    FloatValue(f64),
255    TupleValue((u32, u32, u32)),
256    LayoutPattern(String),
257    BooleanValue(bool),
258}
259
260#[derive(Debug, Clone, Serialize, Deserialize)]
261pub struct ExpectedImprovement {
262    pub performance_gain_percentage: f64,
263    pub memory_usage_reduction_percentage: f64,
264    pub energy_efficiency_improvement: f64,
265    pub scalability_improvement: f64,
266}
267
268#[derive(Debug, Clone, Serialize, Deserialize)]
269pub enum ImplementationDifficulty {
270    Trivial,
271    Easy,
272    Moderate,
273    Difficult,
274    Expert,
275}
276
277/// Launch configuration analysis
278#[derive(Debug)]
279#[allow(dead_code)]
280pub struct LaunchConfigAnalyzer {
281    #[allow(dead_code)]
282    optimal_configs: HashMap<String, OptimalLaunchConfig>,
283    config_performance_history: HashMap<String, Vec<ConfigPerformanceMeasurement>>,
284    autotuning_enabled: bool,
285    search_space_cache: HashMap<String, LaunchConfigSearchSpace>,
286}
287
288#[derive(Debug, Clone, Serialize, Deserialize)]
289pub struct LaunchConfigSearchSpace {
290    pub kernel_name: String,
291    pub min_block_size: (u32, u32, u32),
292    pub max_block_size: (u32, u32, u32),
293    pub min_grid_size: (u32, u32, u32),
294    pub max_grid_size: (u32, u32, u32),
295    pub min_shared_memory: usize,
296    pub max_shared_memory: usize,
297    pub search_constraints: Vec<LaunchConstraint>,
298}
299
300#[derive(Debug, Clone, Serialize, Deserialize)]
301pub struct OptimalLaunchConfig {
302    pub kernel_name: String,
303    pub optimal_block_size: (u32, u32, u32),
304    pub optimal_grid_size: (u32, u32, u32),
305    pub optimal_shared_memory: usize,
306    pub expected_occupancy: f64,
307    pub expected_performance: f64,
308    pub constraints: Vec<LaunchConstraint>,
309}
310
311#[derive(Debug, Clone, Serialize, Deserialize)]
312pub struct ConfigPerformanceMeasurement {
313    pub block_size: (u32, u32, u32),
314    pub grid_size: (u32, u32, u32),
315    pub shared_memory: usize,
316    pub achieved_occupancy: f64,
317    pub execution_time: Duration,
318    pub memory_bandwidth: f64,
319    pub compute_utilization: f64,
320    pub timestamp: SystemTime,
321}
322
323#[derive(Debug, Clone, Serialize, Deserialize)]
324pub enum LaunchConstraint {
325    MaxSharedMemory(usize),
326    MaxRegisters(u32),
327    MinOccupancy(f64),
328    WorkgroupSizeLimit(u32),
329    MemoryBandwidthLimit(f64),
330}
331
332/// Memory access pattern analysis
333#[derive(Debug)]
334#[allow(dead_code)]
335pub struct MemoryAccessAnalyzer {
336    #[allow(dead_code)]
337    access_patterns: HashMap<String, MemoryAccessAnalysis>,
338    coalescing_analysis: HashMap<String, CoalescingAnalysis>,
339    cache_performance: HashMap<String, CachePerformanceAnalysis>,
340    stride_analysis: HashMap<String, StrideAnalysisResult>,
341    bank_conflict_analyzer: BankConflictAnalyzer,
342}
343
344#[derive(Debug, Clone, Serialize, Deserialize)]
345pub struct StrideAnalysisResult {
346    pub kernel_name: String,
347    pub average_stride: f64,
348    pub stride_pattern: StridePattern,
349    pub optimization_potential: f64,
350    pub recommended_changes: Vec<String>,
351}
352
353#[derive(Debug, Clone, Serialize, Deserialize)]
354pub enum StridePattern {
355    Sequential,
356    Strided(i32),
357    Random,
358    Broadcast,
359}
360
361#[derive(Debug)]
362#[allow(dead_code)]
363pub struct BankConflictAnalyzer {
364    #[allow(dead_code)]
365    conflict_patterns: HashMap<String, BankConflictPattern>,
366    resolution_strategies: HashMap<String, Vec<ConflictResolutionStrategy>>,
367}
368
369#[derive(Debug, Clone, Serialize, Deserialize)]
370pub struct BankConflictPattern {
371    pub kernel_name: String,
372    pub conflicts_detected: usize,
373    pub conflict_severity: ConflictSeverity,
374    pub affected_warps: Vec<u32>,
375}
376
377#[derive(Debug, Clone, Serialize, Deserialize)]
378pub enum ConflictSeverity {
379    Low,
380    Medium,
381    High,
382    Critical,
383}
384
385#[derive(Debug, Clone, Serialize, Deserialize)]
386pub struct ConflictResolutionStrategy {
387    pub strategy_type: ResolutionStrategyType,
388    pub description: String,
389    pub expected_improvement: f64,
390}
391
392#[derive(Debug, Clone, Serialize, Deserialize)]
393pub enum ResolutionStrategyType {
394    DataPadding,
395    AccessReordering,
396    SharedMemoryBanking,
397    AlgorithmicChange,
398}
399
400#[derive(Debug, Clone, Serialize, Deserialize)]
401pub struct MemoryAccessAnalysis {
402    pub kernel_name: String,
403    pub total_memory_transactions: u64,
404    pub coalesced_transactions: u64,
405    pub uncoalesced_transactions: u64,
406    pub stride_patterns: Vec<StridePattern>,
407    pub access_locality: AccessLocalityMetrics,
408    pub bank_conflicts: u64,
409    pub cache_line_utilization: f64,
410}
411
412#[derive(Debug, Clone, Serialize, Deserialize)]
413pub struct DetectedStride {
414    pub stride_size: usize,
415    pub frequency: u64,
416    pub efficiency_impact: f64,
417}
418
419#[derive(Debug, Clone, Serialize, Deserialize)]
420pub struct AccessLocalityMetrics {
421    pub temporal_locality_score: f64,
422    pub spatial_locality_score: f64,
423    pub working_set_size: usize,
424    pub reuse_distance_avg: f64,
425}
426
427#[derive(Debug, Clone, Serialize, Deserialize)]
428pub struct CoalescingAnalysis {
429    pub kernel_name: String,
430    pub coalescing_efficiency: f64,
431    pub uncoalesced_regions: Vec<UncoalescedRegion>,
432    pub suggested_improvements: Vec<CoalescingImprovement>,
433}
434
435#[derive(Debug, Clone, Serialize, Deserialize)]
436pub struct UncoalescedRegion {
437    pub memory_region: String,
438    pub access_pattern: String,
439    pub efficiency_loss: f64,
440    pub fix_difficulty: ImplementationDifficulty,
441}
442
443#[derive(Debug, Clone, Serialize, Deserialize)]
444pub struct CoalescingImprovement {
445    pub improvement_type: CoalescingImprovementType,
446    pub description: String,
447    pub expected_speedup: f64,
448}
449
450#[derive(Debug, Clone, Serialize, Deserialize)]
451pub enum CoalescingImprovementType {
452    DataLayoutReorganization,
453    AccessPatternOptimization,
454    SharedMemoryBuffering,
455    VectorizedAccess,
456}
457
458#[derive(Debug, Clone, Serialize, Deserialize)]
459pub struct CachePerformanceAnalysis {
460    pub kernel_name: String,
461    pub l1_cache_hit_rate: f64,
462    pub l2_cache_hit_rate: f64,
463    pub texture_cache_hit_rate: f64,
464    pub shared_memory_bank_conflicts: u64,
465    pub cache_thrashing_detected: bool,
466    pub recommended_cache_optimizations: Vec<CacheOptimization>,
467}
468
469#[derive(Debug, Clone, Serialize, Deserialize)]
470pub struct CacheOptimization {
471    pub optimization_type: CacheOptimizationType,
472    pub description: String,
473    pub expected_improvement: f64,
474}
475
476#[derive(Debug, Clone, Serialize, Deserialize)]
477pub enum CacheOptimizationType {
478    DataPrefetching,
479    CacheBlockingStrategy,
480    SharedMemoryUsage,
481    TextureMemoryUsage,
482    ConstantMemoryUsage,
483}
484
485/// Compute utilization analysis
486#[derive(Debug)]
487#[allow(dead_code)]
488pub struct ComputeUtilizationAnalyzer {
489    #[allow(dead_code)]
490    utilization_profiles: HashMap<String, ComputeUtilizationProfile>,
491    bottleneck_analysis: HashMap<String, ComputeBottleneckAnalysis>,
492    arithmetic_intensity_analyzer: ArithmeticIntensityAnalyzer,
493    resource_balancer: ResourceBalancer,
494}
495
496#[derive(Debug)]
497#[allow(dead_code)]
498pub struct ArithmeticIntensityAnalyzer {
499    #[allow(dead_code)]
500    intensity_profiles: HashMap<String, ArithmeticIntensityProfile>,
501    roofline_models: HashMap<i32, RooflineModel>,
502}
503
504#[derive(Debug, Clone, Serialize, Deserialize)]
505pub struct ArithmeticIntensityProfile {
506    pub kernel_name: String,
507    pub arithmetic_intensity: f64,
508    pub operations_per_byte: f64,
509    pub peak_performance_percentage: f64,
510}
511
512#[derive(Debug, Clone, Serialize, Deserialize)]
513pub struct RooflineModel {
514    pub device_id: i32,
515    pub peak_compute_flops: f64,
516    pub peak_memory_bandwidth: f64,
517    pub ridge_point: f64,
518}
519
520#[derive(Debug)]
521#[allow(dead_code)]
522pub struct ResourceBalancer {
523    #[allow(dead_code)]
524    resource_profiles: HashMap<String, ResourceProfile>,
525    balancing_strategies: HashMap<String, BalancingStrategy>,
526}
527
528#[derive(Debug, Clone, Serialize, Deserialize)]
529pub struct ResourceProfile {
530    pub kernel_name: String,
531    pub register_usage: f64,
532    pub shared_memory_usage: f64,
533    pub occupancy: f64,
534    pub limiting_factor: LimitingFactor,
535}
536
537#[derive(Debug, Clone, Serialize, Deserialize)]
538pub enum LimitingFactor {
539    Registers,
540    SharedMemory,
541    Blocks,
542    Warps,
543}
544
545#[derive(Debug, Clone, Serialize, Deserialize)]
546pub struct BalancingStrategy {
547    pub strategy_name: String,
548    pub description: String,
549    pub expected_improvement: f64,
550    pub trade_offs: Vec<String>,
551}
552
553#[derive(Debug, Clone, Serialize, Deserialize)]
554pub struct ComputeUtilizationProfile {
555    pub kernel_name: String,
556    pub arithmetic_intensity: f64,
557    pub compute_throughput: f64,
558    pub memory_throughput: f64,
559    pub compute_to_memory_ratio: f64,
560    pub warp_execution_efficiency: f64,
561    pub instruction_mix: InstructionMixAnalysis,
562    pub resource_utilization: ResourceUtilizationMetrics,
563}
564
565#[derive(Debug, Clone, Serialize, Deserialize)]
566pub struct InstructionMixAnalysis {
567    pub integer_ops_percentage: f64,
568    pub float_ops_percentage: f64,
569    pub double_ops_percentage: f64,
570    pub special_function_ops_percentage: f64,
571    pub memory_ops_percentage: f64,
572    pub control_flow_ops_percentage: f64,
573}
574
575#[derive(Debug, Clone, Serialize, Deserialize)]
576pub struct ResourceUtilizationMetrics {
577    pub register_utilization: f64,
578    pub shared_memory_utilization: f64,
579    pub constant_memory_utilization: f64,
580    pub texture_cache_utilization: f64,
581    pub compute_unit_utilization: f64,
582}
583
584#[derive(Debug, Clone, Serialize, Deserialize)]
585pub struct ComputeBottleneckAnalysis {
586    pub kernel_name: String,
587    pub primary_bottleneck: ComputeBottleneckType,
588    pub bottleneck_severity: f64,
589    pub contributing_factors: Vec<BottleneckFactor>,
590    pub optimization_opportunities: Vec<ComputeOptimizationOpportunity>,
591}
592
593#[derive(Debug, Clone, Serialize, Deserialize)]
594pub enum ComputeBottleneckType {
595    MemoryBandwidth,
596    ComputeThroughput,
597    Latency,
598    Occupancy,
599    WarpDivergence,
600    SynchronizationOverhead,
601}
602
603#[derive(Debug, Clone, Serialize, Deserialize)]
604pub struct BottleneckFactor {
605    pub factor_type: String,
606    pub impact_percentage: f64,
607    pub description: String,
608}
609
610#[derive(Debug, Clone, Serialize, Deserialize)]
611pub struct ComputeOptimizationOpportunity {
612    pub opportunity_type: ComputeOptimizationType,
613    pub description: String,
614    pub expected_speedup: f64,
615    pub implementation_effort: ImplementationDifficulty,
616}
617
618#[derive(Debug, Clone, Serialize, Deserialize)]
619pub enum ComputeOptimizationType {
620    KernelFusion,
621    MemoryOptimization,
622    ParallelismIncrease,
623    AlgorithmicImprovement,
624    ResourceBalancing,
625}
626
627impl AdvancedGpuMemoryProfiler {
628    pub fn new(device_count: i32) -> Result<Self> {
629        let mut memory_pools = HashMap::new();
630        let mut bandwidth_monitors = HashMap::new();
631
632        for device_id in 0..device_count {
633            memory_pools.insert(device_id, GpuMemoryPool::new(device_id)?);
634            bandwidth_monitors.insert(device_id, GpuBandwidthMonitor::new(device_id)?);
635        }
636
637        Ok(Self {
638            device_count,
639            memory_pools,
640            memory_allocations: HashMap::new(),
641            fragmentation_history: VecDeque::with_capacity(1000),
642            bandwidth_monitors,
643            memory_pressure_monitor: MemoryPressureMonitor::new(),
644            cross_device_transfers: Vec::new(),
645        })
646    }
647
648    /// Track a GPU memory allocation with detailed context
649    pub fn track_allocation(
650        &mut self,
651        device_id: i32,
652        size_bytes: usize,
653        memory_type: GpuMemoryType,
654        context: AllocationContext,
655    ) -> Result<Uuid> {
656        let allocation_id = Uuid::new_v4();
657        let allocation = GpuMemoryAllocation {
658            allocation_id,
659            device_id,
660            size_bytes,
661            alignment: self.calculate_optimal_alignment(size_bytes),
662            memory_type,
663            allocation_context: context,
664            timestamp: SystemTime::now(),
665            freed: false,
666            free_timestamp: None,
667            access_pattern: MemoryAccessPattern::default(),
668            usage_statistics: MemoryUsageStats::default(),
669        };
670
671        // Update memory pool
672        if let Some(pool) = self.memory_pools.get_mut(&device_id) {
673            pool.allocate(size_bytes)?;
674        }
675
676        self.memory_allocations.insert(allocation_id, allocation);
677
678        // Check for memory pressure
679        self.update_memory_pressure(device_id);
680
681        Ok(allocation_id)
682    }
683
684    /// Track memory deallocation
685    pub fn track_deallocation(&mut self, allocation_id: Uuid) -> Result<()> {
686        let device_id = if let Some(allocation) = self.memory_allocations.get_mut(&allocation_id) {
687            allocation.freed = true;
688            allocation.free_timestamp = Some(SystemTime::now());
689
690            // Get the device_id and size_bytes before dropping the mutable reference
691            let device_id = allocation.device_id;
692            let size_bytes = allocation.size_bytes;
693
694            // Update memory pool
695            if let Some(pool) = self.memory_pools.get_mut(&device_id) {
696                pool.deallocate(size_bytes)?;
697            }
698
699            Some(device_id)
700        } else {
701            None
702        };
703
704        // Update memory pressure after dropping the mutable reference
705        if let Some(device_id) = device_id {
706            self.update_memory_pressure(device_id);
707        }
708
709        Ok(())
710    }
711
712    /// Analyze memory fragmentation across all devices
713    pub fn analyze_fragmentation(&mut self) -> Result<Vec<MemoryFragmentationSnapshot>> {
714        let mut snapshots = Vec::new();
715
716        for (&_device_id, pool) in &self.memory_pools {
717            let snapshot = pool.get_fragmentation_snapshot()?;
718            snapshots.push(snapshot.clone());
719
720            // Store in history
721            self.fragmentation_history.push_back(snapshot);
722            if self.fragmentation_history.len() > 1000 {
723                self.fragmentation_history.pop_front();
724            }
725        }
726
727        Ok(snapshots)
728    }
729
730    /// Monitor memory bandwidth utilization
731    pub fn record_bandwidth_sample(
732        &mut self,
733        device_id: i32,
734        sample: BandwidthSample,
735    ) -> Result<()> {
736        if let Some(monitor) = self.bandwidth_monitors.get_mut(&device_id) {
737            monitor.add_sample(sample)?;
738        }
739        Ok(())
740    }
741
742    /// Track cross-device memory transfer
743    pub fn track_cross_device_transfer(
744        &mut self,
745        source_device: i32,
746        target_device: i32,
747        bytes_transferred: usize,
748        transfer_type: CrossDeviceTransferType,
749        duration: Duration,
750    ) -> Result<Uuid> {
751        let transfer_id = Uuid::new_v4();
752        let bandwidth_achieved =
753            bytes_transferred as f64 / (1024.0 * 1024.0 * 1024.0) / duration.as_secs_f64();
754
755        let transfer = CrossDeviceTransfer {
756            transfer_id,
757            source_device,
758            target_device,
759            bytes_transferred,
760            transfer_type,
761            duration,
762            bandwidth_achieved,
763            p2p_enabled: self.detect_p2p_capability(source_device, target_device),
764            timestamp: SystemTime::now(),
765        };
766
767        self.cross_device_transfers.push(transfer);
768        Ok(transfer_id)
769    }
770
771    /// Get comprehensive memory analysis report
772    pub fn get_memory_analysis_report(&self) -> MemoryAnalysisReport {
773        let fragmentation_summary = self.analyze_fragmentation_trends();
774        let bandwidth_summary = self.analyze_bandwidth_utilization();
775        let pressure_summary = self.analyze_memory_pressure();
776        let allocation_summary = self.analyze_allocation_patterns();
777        let cross_device_summary = self.analyze_cross_device_transfers();
778
779        MemoryAnalysisReport {
780            fragmentation_summary,
781            bandwidth_summary,
782            pressure_summary,
783            allocation_summary,
784            cross_device_summary,
785            optimization_recommendations: self.generate_memory_optimization_recommendations(),
786        }
787    }
788
789    fn calculate_optimal_alignment(&self, size_bytes: usize) -> usize {
790        // Calculate optimal memory alignment for GPU access
791        if size_bytes >= 128 {
792            128 // Cache line alignment
793        } else if size_bytes >= 64 {
794            64
795        } else if size_bytes >= 32 {
796            32
797        } else {
798            16
799        }
800    }
801
802    fn update_memory_pressure(&mut self, device_id: i32) {
803        if let Some(pool) = self.memory_pools.get(&device_id) {
804            let pressure_snapshot = MemoryPressureSnapshot {
805                timestamp: Utc::now(),
806                device_id,
807                pressure_level: pool.calculate_pressure_level(),
808                available_memory_ratio: pool.get_available_memory_ratio(),
809                allocation_rate: self.calculate_allocation_rate(device_id),
810                deallocation_rate: self.calculate_deallocation_rate(device_id),
811                gc_pressure: 0.0,   // Simplified
812                swap_activity: 0.0, // Simplified
813            };
814
815            self.memory_pressure_monitor.add_snapshot(pressure_snapshot);
816        }
817    }
818
819    fn detect_p2p_capability(&self, _source: i32, _target: i32) -> bool {
820        // Simplified P2P detection - would use actual GPU capabilities
821        true
822    }
823
824    fn calculate_allocation_rate(&self, device_id: i32) -> f64 {
825        // Calculate allocations per second for the device
826        let recent_allocations = self
827            .memory_allocations
828            .values()
829            .filter(|a| a.device_id == device_id)
830            .filter(|a| a.timestamp.elapsed().unwrap_or_default().as_secs() < 60)
831            .count();
832
833        recent_allocations as f64 / 60.0
834    }
835
836    fn calculate_deallocation_rate(&self, device_id: i32) -> f64 {
837        // Calculate deallocations per second for the device
838        let recent_deallocations = self
839            .memory_allocations
840            .values()
841            .filter(|a| a.device_id == device_id && a.freed)
842            .filter(|a| {
843                if let Some(free_time) = a.free_timestamp {
844                    free_time.elapsed().unwrap_or_default().as_secs() < 60
845                } else {
846                    false
847                }
848            })
849            .count();
850
851        recent_deallocations as f64 / 60.0
852    }
853
854    fn analyze_fragmentation_trends(&self) -> FragmentationSummary {
855        // Analyze fragmentation trends from history
856        FragmentationSummary::new(&self.fragmentation_history)
857    }
858
859    fn analyze_bandwidth_utilization(&self) -> BandwidthSummary {
860        BandwidthSummary::new(&self.bandwidth_monitors)
861    }
862
863    fn analyze_memory_pressure(&self) -> MemoryPressureSummary {
864        self.memory_pressure_monitor.get_summary()
865    }
866
867    fn analyze_allocation_patterns(&self) -> AllocationPatternSummary {
868        AllocationPatternSummary::new(&self.memory_allocations)
869    }
870
871    fn analyze_cross_device_transfers(&self) -> CrossDeviceTransferSummary {
872        CrossDeviceTransferSummary::new(&self.cross_device_transfers)
873    }
874
875    fn generate_memory_optimization_recommendations(
876        &self,
877    ) -> Vec<MemoryOptimizationRecommendation> {
878        let mut recommendations = Vec::new();
879
880        // Analyze fragmentation and suggest optimizations
881        for snapshot in self.fragmentation_history.iter().take(10) {
882            if snapshot.fragmentation_ratio > 0.3 {
883                recommendations.push(MemoryOptimizationRecommendation {
884                    recommendation_type: MemoryOptimizationType::DefragmentationStrategy,
885                    priority: OptimizationPriority::High,
886                    description: format!(
887                        "High fragmentation detected on device {}: {:.1}%",
888                        snapshot.device_id,
889                        snapshot.fragmentation_ratio * 100.0
890                    ),
891                    expected_benefit: ExpectedBenefit {
892                        performance_improvement: 15.0,
893                        memory_efficiency_improvement: 25.0,
894                        implementation_effort: ImplementationDifficulty::Moderate,
895                    },
896                    implementation_steps: vec![
897                        "Implement memory pooling with fixed-size blocks".to_string(),
898                        "Add periodic defragmentation during idle periods".to_string(),
899                        "Consider memory compaction strategies".to_string(),
900                    ],
901                });
902            }
903        }
904
905        recommendations
906    }
907}
908
909// Helper structures for analysis reports
910
911#[derive(Debug, Clone, Serialize, Deserialize)]
912pub struct MemoryAnalysisReport {
913    pub fragmentation_summary: FragmentationSummary,
914    pub bandwidth_summary: BandwidthSummary,
915    pub pressure_summary: MemoryPressureSummary,
916    pub allocation_summary: AllocationPatternSummary,
917    pub cross_device_summary: CrossDeviceTransferSummary,
918    pub optimization_recommendations: Vec<MemoryOptimizationRecommendation>,
919}
920
921#[derive(Debug, Clone, Serialize, Deserialize)]
922pub struct FragmentationSummary {
923    pub avg_fragmentation_ratio: f64,
924    pub peak_fragmentation_ratio: f64,
925    pub fragmentation_trend: FragmentationTrend,
926    pub most_fragmented_device: i32,
927}
928
929#[derive(Debug, Clone, Serialize, Deserialize)]
930pub enum FragmentationTrend {
931    Improving,
932    Stable,
933    Worsening,
934}
935
936#[derive(Debug, Clone, Serialize, Deserialize)]
937pub struct BandwidthSummary {
938    pub avg_bandwidth_utilization: f64,
939    pub peak_bandwidth_achieved: f64,
940    pub bandwidth_efficiency_by_operation: HashMap<String, f64>,
941    pub underutilized_devices: Vec<i32>,
942}
943
944#[derive(Debug, Clone, Serialize, Deserialize)]
945pub struct MemoryPressureSummary {
946    pub current_pressure_levels: HashMap<i32, MemoryPressureLevel>,
947    pub pressure_trend: PressureTrend,
948    pub devices_under_pressure: Vec<i32>,
949    pub time_in_high_pressure: Duration,
950}
951
952#[derive(Debug, Clone, Serialize, Deserialize)]
953pub enum PressureTrend {
954    Decreasing,
955    Stable,
956    Increasing,
957}
958
959#[derive(Debug, Clone, Serialize, Deserialize)]
960pub struct AllocationPatternSummary {
961    pub total_allocations: usize,
962    pub avg_allocation_size: usize,
963    pub largest_allocation: usize,
964    pub allocation_size_distribution: HashMap<String, usize>,
965    pub memory_leaks_detected: usize,
966    pub allocation_hot_spots: Vec<AllocationHotSpot>,
967}
968
969#[derive(Debug, Clone, Serialize, Deserialize)]
970pub struct AllocationHotSpot {
971    pub location: String,
972    pub allocation_frequency: f64,
973    pub total_memory_allocated: usize,
974    pub avg_allocation_lifetime: Duration,
975}
976
977#[derive(Debug, Clone, Serialize, Deserialize)]
978pub struct CrossDeviceTransferSummary {
979    pub total_transfers: usize,
980    pub total_bytes_transferred: usize,
981    pub avg_transfer_bandwidth: f64,
982    pub p2p_efficiency: f64,
983    pub transfer_bottlenecks: Vec<TransferBottleneck>,
984}
985
986#[derive(Debug, Clone, Serialize, Deserialize)]
987pub struct TransferBottleneck {
988    pub device_pair: (i32, i32),
989    pub bottleneck_type: TransferBottleneckType,
990    pub impact_severity: f64,
991}
992
993#[derive(Debug, Clone, Serialize, Deserialize)]
994pub enum TransferBottleneckType {
995    BandwidthLimited,
996    LatencyBound,
997    SynchronizationOverhead,
998    P2PNotAvailable,
999}
1000
1001#[derive(Debug, Clone, Serialize, Deserialize)]
1002pub struct MemoryOptimizationRecommendation {
1003    pub recommendation_type: MemoryOptimizationType,
1004    pub priority: OptimizationPriority,
1005    pub description: String,
1006    pub expected_benefit: ExpectedBenefit,
1007    pub implementation_steps: Vec<String>,
1008}
1009
1010#[derive(Debug, Clone, Serialize, Deserialize)]
1011pub enum MemoryOptimizationType {
1012    DefragmentationStrategy,
1013    MemoryPoolingOptimization,
1014    AllocationPatternOptimization,
1015    CrossDeviceTransferOptimization,
1016    PressureReliefStrategy,
1017}
1018
1019#[derive(Debug, Clone, Serialize, Deserialize)]
1020pub enum OptimizationPriority {
1021    Critical,
1022    High,
1023    Medium,
1024    Low,
1025}
1026
1027#[derive(Debug, Clone, Serialize, Deserialize)]
1028pub struct ExpectedBenefit {
1029    pub performance_improvement: f64,
1030    pub memory_efficiency_improvement: f64,
1031    pub implementation_effort: ImplementationDifficulty,
1032}
1033
1034// Default implementations for helper structures
1035
1036impl Default for MemoryAccessPattern {
1037    fn default() -> Self {
1038        Self {
1039            access_frequency: 0.0,
1040            read_ratio: 0.5,
1041            write_ratio: 0.5,
1042            sequential_access_ratio: 0.8,
1043            random_access_ratio: 0.2,
1044            coalesced_access_ratio: 0.9,
1045            cache_hit_rate: 0.85,
1046        }
1047    }
1048}
1049
1050// Implementation stubs for remaining structures
1051
1052impl GpuMemoryPool {
1053    fn new(device_id: i32) -> Result<Self> {
1054        // Simplified implementation - would query actual GPU memory
1055        Ok(Self {
1056            device_id,
1057            total_memory: 8 * 1024 * 1024 * 1024, // 8GB
1058            free_memory: 8 * 1024 * 1024 * 1024,
1059            fragmentation_score: 0.0,
1060        })
1061    }
1062
1063    fn allocate(&mut self, size: usize) -> Result<()> {
1064        if self.free_memory >= size {
1065            self.free_memory -= size;
1066            Ok(())
1067        } else {
1068            Err(anyhow::anyhow!("Insufficient memory"))
1069        }
1070    }
1071
1072    fn deallocate(&mut self, size: usize) -> Result<()> {
1073        self.free_memory += size;
1074        Ok(())
1075    }
1076
1077    fn get_fragmentation_snapshot(&self) -> Result<MemoryFragmentationSnapshot> {
1078        Ok(MemoryFragmentationSnapshot {
1079            timestamp: Utc::now(),
1080            device_id: self.device_id,
1081            total_memory: self.total_memory,
1082            free_memory: self.free_memory,
1083            largest_free_block: self.free_memory, // Simplified
1084            fragmentation_ratio: self.fragmentation_score,
1085            free_block_distribution: vec![self.free_memory],
1086            external_fragmentation: self.fragmentation_score * 0.7,
1087            internal_fragmentation: self.fragmentation_score * 0.3,
1088        })
1089    }
1090
1091    fn calculate_pressure_level(&self) -> MemoryPressureLevel {
1092        let usage_ratio = 1.0 - (self.free_memory as f64 / self.total_memory as f64);
1093
1094        if usage_ratio > 0.95 {
1095            MemoryPressureLevel::Critical
1096        } else if usage_ratio > 0.85 {
1097            MemoryPressureLevel::High
1098        } else if usage_ratio > 0.70 {
1099            MemoryPressureLevel::Medium
1100        } else {
1101            MemoryPressureLevel::Low
1102        }
1103    }
1104
1105    fn get_available_memory_ratio(&self) -> f64 {
1106        self.free_memory as f64 / self.total_memory as f64
1107    }
1108}
1109
1110impl GpuBandwidthMonitor {
1111    fn new(device_id: i32) -> Result<Self> {
1112        Ok(Self {
1113            device_id,
1114            bandwidth_samples: VecDeque::with_capacity(1000),
1115            theoretical_bandwidth: 900.0, // GB/s for high-end GPU
1116            peak_observed_bandwidth: 0.0,
1117            sustained_bandwidth_history: Vec::new(),
1118        })
1119    }
1120
1121    fn add_sample(&mut self, sample: BandwidthSample) -> Result<()> {
1122        if sample.achieved_bandwidth_gb_s > self.peak_observed_bandwidth {
1123            self.peak_observed_bandwidth = sample.achieved_bandwidth_gb_s;
1124        }
1125
1126        self.bandwidth_samples.push_back(sample);
1127        if self.bandwidth_samples.len() > 1000 {
1128            self.bandwidth_samples.pop_front();
1129        }
1130
1131        Ok(())
1132    }
1133}
1134
1135impl MemoryPressureMonitor {
1136    fn new() -> Self {
1137        Self {
1138            pressure_history: VecDeque::with_capacity(1000),
1139            pressure_thresholds: MemoryPressureThresholds {
1140                medium_threshold: 0.7,
1141                high_threshold: 0.85,
1142                critical_threshold: 0.95,
1143            },
1144            auto_optimization_enabled: true,
1145        }
1146    }
1147
1148    fn add_snapshot(&mut self, snapshot: MemoryPressureSnapshot) {
1149        self.pressure_history.push_back(snapshot);
1150        if self.pressure_history.len() > 1000 {
1151            self.pressure_history.pop_front();
1152        }
1153    }
1154
1155    fn get_summary(&self) -> MemoryPressureSummary {
1156        // Simplified implementation
1157        MemoryPressureSummary {
1158            current_pressure_levels: HashMap::new(),
1159            pressure_trend: PressureTrend::Stable,
1160            devices_under_pressure: Vec::new(),
1161            time_in_high_pressure: Duration::from_secs(0),
1162        }
1163    }
1164}
1165
1166// Additional implementation stubs for summary structures
1167
1168impl FragmentationSummary {
1169    fn new(_history: &VecDeque<MemoryFragmentationSnapshot>) -> Self {
1170        Self {
1171            avg_fragmentation_ratio: 0.1,
1172            peak_fragmentation_ratio: 0.2,
1173            fragmentation_trend: FragmentationTrend::Stable,
1174            most_fragmented_device: 0,
1175        }
1176    }
1177}
1178
1179impl BandwidthSummary {
1180    fn new(_monitors: &HashMap<i32, GpuBandwidthMonitor>) -> Self {
1181        Self {
1182            avg_bandwidth_utilization: 0.75,
1183            peak_bandwidth_achieved: 800.0,
1184            bandwidth_efficiency_by_operation: HashMap::new(),
1185            underutilized_devices: Vec::new(),
1186        }
1187    }
1188}
1189
1190impl AllocationPatternSummary {
1191    fn new(_allocations: &HashMap<Uuid, GpuMemoryAllocation>) -> Self {
1192        Self {
1193            total_allocations: 0,
1194            avg_allocation_size: 0,
1195            largest_allocation: 0,
1196            allocation_size_distribution: HashMap::new(),
1197            memory_leaks_detected: 0,
1198            allocation_hot_spots: Vec::new(),
1199        }
1200    }
1201}
1202
1203impl CrossDeviceTransferSummary {
1204    fn new(_transfers: &[CrossDeviceTransfer]) -> Self {
1205        Self {
1206            total_transfers: 0,
1207            total_bytes_transferred: 0,
1208            avg_transfer_bandwidth: 0.0,
1209            p2p_efficiency: 0.9,
1210            transfer_bottlenecks: Vec::new(),
1211        }
1212    }
1213}
1214
1215#[derive(Debug)]
1216struct GpuMemoryPool {
1217    device_id: i32,
1218    total_memory: usize,
1219    free_memory: usize,
1220    fragmentation_score: f64,
1221}
1222
1223/// Configuration for advanced GPU profiling
1224#[derive(Debug, Clone, Serialize, Deserialize)]
1225pub struct AdvancedGpuProfilingConfig {
1226    /// Enable GPU profiling
1227    pub enable_gpu_profiling: bool,
1228    /// Number of GPU devices to profile
1229    pub device_count: i32,
1230    /// Enable memory profiling
1231    pub enable_memory_profiling: bool,
1232    /// Enable kernel profiling
1233    pub enable_kernel_profiling: bool,
1234    /// Enable bandwidth monitoring
1235    pub enable_bandwidth_monitoring: bool,
1236    /// Maximum number of allocations to track
1237    pub max_tracked_allocations: usize,
1238    /// Sampling rate for profiling (0.0 to 1.0)
1239    pub profiling_sampling_rate: f32,
1240    /// Enable fragmentation analysis
1241    pub enable_fragmentation_analysis: bool,
1242}
1243
1244impl Default for AdvancedGpuProfilingConfig {
1245    fn default() -> Self {
1246        Self {
1247            enable_gpu_profiling: true,
1248            device_count: 1,
1249            enable_memory_profiling: true,
1250            enable_kernel_profiling: true,
1251            enable_bandwidth_monitoring: true,
1252            max_tracked_allocations: 10000,
1253            profiling_sampling_rate: 1.0,
1254            enable_fragmentation_analysis: true,
1255        }
1256    }
1257}
1258
1259/// Summary report for kernel optimization
1260#[derive(Debug, Clone, Serialize, Deserialize)]
1261pub struct KernelOptimizationSummaryReport {
1262    pub total_kernels_analyzed: usize,
1263    pub optimization_opportunities_found: usize,
1264    pub high_impact_optimizations: Vec<HighImpactOptimization>,
1265    pub fusion_opportunities: usize,
1266    pub regression_alerts: usize,
1267    pub overall_optimization_score: f64,
1268    pub top_recommendations: Vec<String>,
1269}
1270
1271#[derive(Debug, Clone, Serialize, Deserialize)]
1272pub struct HighImpactOptimization {
1273    pub kernel_name: String,
1274    pub optimization_type: String,
1275    pub expected_speedup: f64,
1276    pub implementation_difficulty: String,
1277    pub description: String,
1278}
trustformers_debug/advanced_gpu_profiler.rs

trustformers_debug/
advanced_gpu_profiler.rs
