trustformers-debug 0.1.1

//! Advanced GPU profiling and kernel optimization tools
//!
//! This module provides comprehensive GPU memory analysis, kernel optimization
//! suggestions, and advanced profiling capabilities for CUDA/ROCm/OpenCL kernels.

use anyhow::Result;
use chrono::{DateTime, Utc};
use serde::{Deserialize, Serialize};
use std::collections::{HashMap, VecDeque};
use std::time::{Duration, SystemTime};
use uuid::Uuid;

/// Advanced GPU memory profiler with fragmentation analysis
#[derive(Debug)]
pub struct AdvancedGpuMemoryProfiler {
    #[allow(dead_code)]
    device_count: i32,
    memory_pools: HashMap<i32, GpuMemoryPool>,
    memory_allocations: HashMap<Uuid, GpuMemoryAllocation>,
    fragmentation_history: VecDeque<MemoryFragmentationSnapshot>,
    bandwidth_monitors: HashMap<i32, GpuBandwidthMonitor>,
    memory_pressure_monitor: MemoryPressureMonitor,
    cross_device_transfers: Vec<CrossDeviceTransfer>,
}

/// GPU memory allocation with detailed tracking
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct GpuMemoryAllocation {
    pub allocation_id: Uuid,
    pub device_id: i32,
    pub size_bytes: usize,
    pub alignment: usize,
    pub memory_type: GpuMemoryType,
    pub allocation_context: AllocationContext,
    pub timestamp: SystemTime,
    pub freed: bool,
    pub free_timestamp: Option<SystemTime>,
    pub access_pattern: MemoryAccessPattern,
    pub usage_statistics: MemoryUsageStats,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum GpuMemoryType {
    Global,
    Shared,
    Constant,
    Texture,
    Local,
    Unified,
    Pinned,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct AllocationContext {
    pub kernel_name: Option<String>,
    pub tensor_name: Option<String>,
    pub layer_name: Option<String>,
    pub allocation_source: AllocationSource,
    pub stack_trace: Vec<String>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum AllocationSource {
    TensorCreation,
    KernelLaunch,
    IntermediateBuffer,
    GradientBuffer,
    WeightBuffer,
    ActivationBuffer,
    CacheBuffer,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MemoryAccessPattern {
    pub access_frequency: f64,
    pub read_ratio: f64,
    pub write_ratio: f64,
    pub sequential_access_ratio: f64,
    pub random_access_ratio: f64,
    pub coalesced_access_ratio: f64,
    pub cache_hit_rate: f64,
}

#[derive(Debug, Clone, Serialize, Deserialize, Default)]
pub struct MemoryUsageStats {
    pub total_accesses: u64,
    pub bytes_read: u64,
    pub bytes_written: u64,
    pub lifetime_duration: Option<Duration>,
    pub peak_concurrent_usage: usize,
}

/// Memory fragmentation analysis
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MemoryFragmentationSnapshot {
    pub timestamp: DateTime<Utc>,
    pub device_id: i32,
    pub total_memory: usize,
    pub free_memory: usize,
    pub largest_free_block: usize,
    pub fragmentation_ratio: f64,
    pub free_block_distribution: Vec<usize>,
    pub external_fragmentation: f64,
    pub internal_fragmentation: f64,
}

/// GPU bandwidth monitoring
#[derive(Debug)]
#[allow(dead_code)]
pub struct GpuBandwidthMonitor {
    #[allow(dead_code)]
    device_id: i32,
    bandwidth_samples: VecDeque<BandwidthSample>,
    theoretical_bandwidth: f64, // GB/s
    peak_observed_bandwidth: f64,
    sustained_bandwidth_history: Vec<SustainedBandwidthMeasurement>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct BandwidthSample {
    pub timestamp: SystemTime,
    pub memory_type: GpuMemoryType,
    pub operation_type: MemoryOperationType,
    pub bytes_transferred: usize,
    pub duration: Duration,
    pub achieved_bandwidth_gb_s: f64,
    pub efficiency_percentage: f64,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum MemoryOperationType {
    HostToDevice,
    DeviceToHost,
    DeviceToDevice,
    KernelMemoryAccess,
    PeerToPeer,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct SustainedBandwidthMeasurement {
    pub duration: Duration,
    pub avg_bandwidth_gb_s: f64,
    pub min_bandwidth_gb_s: f64,
    pub max_bandwidth_gb_s: f64,
    pub bandwidth_variability: f64,
}

/// Memory pressure monitoring
#[derive(Debug)]
#[allow(dead_code)]
pub struct MemoryPressureMonitor {
    pressure_history: VecDeque<MemoryPressureSnapshot>,
    #[allow(dead_code)]
    pressure_thresholds: MemoryPressureThresholds,
    auto_optimization_enabled: bool,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MemoryPressureSnapshot {
    pub timestamp: DateTime<Utc>,
    pub device_id: i32,
    pub pressure_level: MemoryPressureLevel,
    pub available_memory_ratio: f64,
    pub allocation_rate: f64, // allocations per second
    pub deallocation_rate: f64,
    pub gc_pressure: f64,
    pub swap_activity: f64,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum MemoryPressureLevel {
    Low,
    Medium,
    High,
    Critical,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MemoryPressureThresholds {
    pub medium_threshold: f64, // 0.7 = 70% memory usage triggers medium pressure
    pub high_threshold: f64,   // 0.85 = 85% memory usage triggers high pressure
    pub critical_threshold: f64, // 0.95 = 95% memory usage triggers critical pressure
}

/// Cross-device memory transfer tracking
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct CrossDeviceTransfer {
    pub transfer_id: Uuid,
    pub source_device: i32,
    pub target_device: i32,
    pub bytes_transferred: usize,
    pub transfer_type: CrossDeviceTransferType,
    pub duration: Duration,
    pub bandwidth_achieved: f64,
    pub p2p_enabled: bool,
    pub timestamp: SystemTime,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum CrossDeviceTransferType {
    DirectMemoryAccess,
    PeerToPeer,
    HostBounced,
    NvLink,
    Infinity,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct KernelExecutionProfile {
    pub kernel_name: String,
    pub execution_count: usize,
    pub total_execution_time: Duration,
    pub avg_execution_time: Duration,
    pub min_execution_time: Duration,
    pub max_execution_time: Duration,
    pub grid_sizes: Vec<(u32, u32, u32)>,
    pub block_sizes: Vec<(u32, u32, u32)>,
    pub shared_memory_usage: Vec<usize>,
    pub register_usage: Vec<u32>,
    pub occupancy_measurements: Vec<f64>,
    pub compute_utilization: Vec<f64>,
    pub memory_bandwidth_utilization: Vec<f64>,
    pub warp_efficiency: Vec<f64>,
    pub memory_efficiency: Vec<f64>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct KernelOptimization {
    pub optimization_type: OptimizationType,
    pub current_value: OptimizationValue,
    pub suggested_value: OptimizationValue,
    pub expected_improvement: ExpectedImprovement,
    pub confidence: f64,
    pub explanation: String,
    pub implementation_difficulty: ImplementationDifficulty,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum OptimizationType {
    BlockSize,
    GridSize,
    SharedMemory,
    RegisterOptimization,
    MemoryCoalescing,
    WarpDivergence,
    KernelFusion,
    MemoryLayoutOptimization,
    ComputeIntensityBalance,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum OptimizationValue {
    IntegerValue(u32),
    FloatValue(f64),
    TupleValue((u32, u32, u32)),
    LayoutPattern(String),
    BooleanValue(bool),
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ExpectedImprovement {
    pub performance_gain_percentage: f64,
    pub memory_usage_reduction_percentage: f64,
    pub energy_efficiency_improvement: f64,
    pub scalability_improvement: f64,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum ImplementationDifficulty {
    Trivial,
    Easy,
    Moderate,
    Difficult,
    Expert,
}

/// Launch configuration analysis
#[derive(Debug)]
#[allow(dead_code)]
pub struct LaunchConfigAnalyzer {
    #[allow(dead_code)]
    optimal_configs: HashMap<String, OptimalLaunchConfig>,
    config_performance_history: HashMap<String, Vec<ConfigPerformanceMeasurement>>,
    autotuning_enabled: bool,
    search_space_cache: HashMap<String, LaunchConfigSearchSpace>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct LaunchConfigSearchSpace {
    pub kernel_name: String,
    pub min_block_size: (u32, u32, u32),
    pub max_block_size: (u32, u32, u32),
    pub min_grid_size: (u32, u32, u32),
    pub max_grid_size: (u32, u32, u32),
    pub min_shared_memory: usize,
    pub max_shared_memory: usize,
    pub search_constraints: Vec<LaunchConstraint>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct OptimalLaunchConfig {
    pub kernel_name: String,
    pub optimal_block_size: (u32, u32, u32),
    pub optimal_grid_size: (u32, u32, u32),
    pub optimal_shared_memory: usize,
    pub expected_occupancy: f64,
    pub expected_performance: f64,
    pub constraints: Vec<LaunchConstraint>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ConfigPerformanceMeasurement {
    pub block_size: (u32, u32, u32),
    pub grid_size: (u32, u32, u32),
    pub shared_memory: usize,
    pub achieved_occupancy: f64,
    pub execution_time: Duration,
    pub memory_bandwidth: f64,
    pub compute_utilization: f64,
    pub timestamp: SystemTime,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum LaunchConstraint {
    MaxSharedMemory(usize),
    MaxRegisters(u32),
    MinOccupancy(f64),
    WorkgroupSizeLimit(u32),
    MemoryBandwidthLimit(f64),
}

/// Memory access pattern analysis
#[derive(Debug)]
#[allow(dead_code)]
pub struct MemoryAccessAnalyzer {
    #[allow(dead_code)]
    access_patterns: HashMap<String, MemoryAccessAnalysis>,
    coalescing_analysis: HashMap<String, CoalescingAnalysis>,
    cache_performance: HashMap<String, CachePerformanceAnalysis>,
    stride_analysis: HashMap<String, StrideAnalysisResult>,
    bank_conflict_analyzer: BankConflictAnalyzer,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct StrideAnalysisResult {
    pub kernel_name: String,
    pub average_stride: f64,
    pub stride_pattern: StridePattern,
    pub optimization_potential: f64,
    pub recommended_changes: Vec<String>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum StridePattern {
    Sequential,
    Strided(i32),
    Random,
    Broadcast,
}

#[derive(Debug)]
#[allow(dead_code)]
pub struct BankConflictAnalyzer {
    #[allow(dead_code)]
    conflict_patterns: HashMap<String, BankConflictPattern>,
    resolution_strategies: HashMap<String, Vec<ConflictResolutionStrategy>>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct BankConflictPattern {
    pub kernel_name: String,
    pub conflicts_detected: usize,
    pub conflict_severity: ConflictSeverity,
    pub affected_warps: Vec<u32>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum ConflictSeverity {
    Low,
    Medium,
    High,
    Critical,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ConflictResolutionStrategy {
    pub strategy_type: ResolutionStrategyType,
    pub description: String,
    pub expected_improvement: f64,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum ResolutionStrategyType {
    DataPadding,
    AccessReordering,
    SharedMemoryBanking,
    AlgorithmicChange,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MemoryAccessAnalysis {
    pub kernel_name: String,
    pub total_memory_transactions: u64,
    pub coalesced_transactions: u64,
    pub uncoalesced_transactions: u64,
    pub stride_patterns: Vec<StridePattern>,
    pub access_locality: AccessLocalityMetrics,
    pub bank_conflicts: u64,
    pub cache_line_utilization: f64,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct DetectedStride {
    pub stride_size: usize,
    pub frequency: u64,
    pub efficiency_impact: f64,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct AccessLocalityMetrics {
    pub temporal_locality_score: f64,
    pub spatial_locality_score: f64,
    pub working_set_size: usize,
    pub reuse_distance_avg: f64,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct CoalescingAnalysis {
    pub kernel_name: String,
    pub coalescing_efficiency: f64,
    pub uncoalesced_regions: Vec<UncoalescedRegion>,
    pub suggested_improvements: Vec<CoalescingImprovement>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct UncoalescedRegion {
    pub memory_region: String,
    pub access_pattern: String,
    pub efficiency_loss: f64,
    pub fix_difficulty: ImplementationDifficulty,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct CoalescingImprovement {
    pub improvement_type: CoalescingImprovementType,
    pub description: String,
    pub expected_speedup: f64,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum CoalescingImprovementType {
    DataLayoutReorganization,
    AccessPatternOptimization,
    SharedMemoryBuffering,
    VectorizedAccess,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct CachePerformanceAnalysis {
    pub kernel_name: String,
    pub l1_cache_hit_rate: f64,
    pub l2_cache_hit_rate: f64,
    pub texture_cache_hit_rate: f64,
    pub shared_memory_bank_conflicts: u64,
    pub cache_thrashing_detected: bool,
    pub recommended_cache_optimizations: Vec<CacheOptimization>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct CacheOptimization {
    pub optimization_type: CacheOptimizationType,
    pub description: String,
    pub expected_improvement: f64,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum CacheOptimizationType {
    DataPrefetching,
    CacheBlockingStrategy,
    SharedMemoryUsage,
    TextureMemoryUsage,
    ConstantMemoryUsage,
}

/// Compute utilization analysis
#[derive(Debug)]
#[allow(dead_code)]
pub struct ComputeUtilizationAnalyzer {
    #[allow(dead_code)]
    utilization_profiles: HashMap<String, ComputeUtilizationProfile>,
    bottleneck_analysis: HashMap<String, ComputeBottleneckAnalysis>,
    arithmetic_intensity_analyzer: ArithmeticIntensityAnalyzer,
    resource_balancer: ResourceBalancer,
}

#[derive(Debug)]
#[allow(dead_code)]
pub struct ArithmeticIntensityAnalyzer {
    #[allow(dead_code)]
    intensity_profiles: HashMap<String, ArithmeticIntensityProfile>,
    roofline_models: HashMap<i32, RooflineModel>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ArithmeticIntensityProfile {
    pub kernel_name: String,
    pub arithmetic_intensity: f64,
    pub operations_per_byte: f64,
    pub peak_performance_percentage: f64,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct RooflineModel {
    pub device_id: i32,
    pub peak_compute_flops: f64,
    pub peak_memory_bandwidth: f64,
    pub ridge_point: f64,
}

#[derive(Debug)]
#[allow(dead_code)]
pub struct ResourceBalancer {
    #[allow(dead_code)]
    resource_profiles: HashMap<String, ResourceProfile>,
    balancing_strategies: HashMap<String, BalancingStrategy>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ResourceProfile {
    pub kernel_name: String,
    pub register_usage: f64,
    pub shared_memory_usage: f64,
    pub occupancy: f64,
    pub limiting_factor: LimitingFactor,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum LimitingFactor {
    Registers,
    SharedMemory,
    Blocks,
    Warps,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct BalancingStrategy {
    pub strategy_name: String,
    pub description: String,
    pub expected_improvement: f64,
    pub trade_offs: Vec<String>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ComputeUtilizationProfile {
    pub kernel_name: String,
    pub arithmetic_intensity: f64,
    pub compute_throughput: f64,
    pub memory_throughput: f64,
    pub compute_to_memory_ratio: f64,
    pub warp_execution_efficiency: f64,
    pub instruction_mix: InstructionMixAnalysis,
    pub resource_utilization: ResourceUtilizationMetrics,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct InstructionMixAnalysis {
    pub integer_ops_percentage: f64,
    pub float_ops_percentage: f64,
    pub double_ops_percentage: f64,
    pub special_function_ops_percentage: f64,
    pub memory_ops_percentage: f64,
    pub control_flow_ops_percentage: f64,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ResourceUtilizationMetrics {
    pub register_utilization: f64,
    pub shared_memory_utilization: f64,
    pub constant_memory_utilization: f64,
    pub texture_cache_utilization: f64,
    pub compute_unit_utilization: f64,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ComputeBottleneckAnalysis {
    pub kernel_name: String,
    pub primary_bottleneck: ComputeBottleneckType,
    pub bottleneck_severity: f64,
    pub contributing_factors: Vec<BottleneckFactor>,
    pub optimization_opportunities: Vec<ComputeOptimizationOpportunity>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum ComputeBottleneckType {
    MemoryBandwidth,
    ComputeThroughput,
    Latency,
    Occupancy,
    WarpDivergence,
    SynchronizationOverhead,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct BottleneckFactor {
    pub factor_type: String,
    pub impact_percentage: f64,
    pub description: String,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ComputeOptimizationOpportunity {
    pub opportunity_type: ComputeOptimizationType,
    pub description: String,
    pub expected_speedup: f64,
    pub implementation_effort: ImplementationDifficulty,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum ComputeOptimizationType {
    KernelFusion,
    MemoryOptimization,
    ParallelismIncrease,
    AlgorithmicImprovement,
    ResourceBalancing,
}

impl AdvancedGpuMemoryProfiler {
    pub fn new(device_count: i32) -> Result<Self> {
        let mut memory_pools = HashMap::new();
        let mut bandwidth_monitors = HashMap::new();

        for device_id in 0..device_count {
            memory_pools.insert(device_id, GpuMemoryPool::new(device_id)?);
            bandwidth_monitors.insert(device_id, GpuBandwidthMonitor::new(device_id)?);
        }

        Ok(Self {
            device_count,
            memory_pools,
            memory_allocations: HashMap::new(),
            fragmentation_history: VecDeque::with_capacity(1000),
            bandwidth_monitors,
            memory_pressure_monitor: MemoryPressureMonitor::new(),
            cross_device_transfers: Vec::new(),
        })
    }

    /// Track a GPU memory allocation with detailed context
    pub fn track_allocation(
        &mut self,
        device_id: i32,
        size_bytes: usize,
        memory_type: GpuMemoryType,
        context: AllocationContext,
    ) -> Result<Uuid> {
        let allocation_id = Uuid::new_v4();
        let allocation = GpuMemoryAllocation {
            allocation_id,
            device_id,
            size_bytes,
            alignment: self.calculate_optimal_alignment(size_bytes),
            memory_type,
            allocation_context: context,
            timestamp: SystemTime::now(),
            freed: false,
            free_timestamp: None,
            access_pattern: MemoryAccessPattern::default(),
            usage_statistics: MemoryUsageStats::default(),
        };

        // Update memory pool
        if let Some(pool) = self.memory_pools.get_mut(&device_id) {
            pool.allocate(size_bytes)?;
        }

        self.memory_allocations.insert(allocation_id, allocation);

        // Check for memory pressure
        self.update_memory_pressure(device_id);

        Ok(allocation_id)
    }

    /// Track memory deallocation
    pub fn track_deallocation(&mut self, allocation_id: Uuid) -> Result<()> {
        let device_id = if let Some(allocation) = self.memory_allocations.get_mut(&allocation_id) {
            allocation.freed = true;
            allocation.free_timestamp = Some(SystemTime::now());

            // Get the device_id and size_bytes before dropping the mutable reference
            let device_id = allocation.device_id;
            let size_bytes = allocation.size_bytes;

            // Update memory pool
            if let Some(pool) = self.memory_pools.get_mut(&device_id) {
                pool.deallocate(size_bytes)?;
            }

            Some(device_id)
        } else {
            None
        };

        // Update memory pressure after dropping the mutable reference
        if let Some(device_id) = device_id {
            self.update_memory_pressure(device_id);
        }

        Ok(())
    }

    /// Analyze memory fragmentation across all devices
    pub fn analyze_fragmentation(&mut self) -> Result<Vec<MemoryFragmentationSnapshot>> {
        let mut snapshots = Vec::new();

        for (&_device_id, pool) in &self.memory_pools {
            let snapshot = pool.get_fragmentation_snapshot()?;
            snapshots.push(snapshot.clone());

            // Store in history
            self.fragmentation_history.push_back(snapshot);
            if self.fragmentation_history.len() > 1000 {
                self.fragmentation_history.pop_front();
            }
        }

        Ok(snapshots)
    }

    /// Monitor memory bandwidth utilization
    pub fn record_bandwidth_sample(
        &mut self,
        device_id: i32,
        sample: BandwidthSample,
    ) -> Result<()> {
        if let Some(monitor) = self.bandwidth_monitors.get_mut(&device_id) {
            monitor.add_sample(sample)?;
        }
        Ok(())
    }

    /// Track cross-device memory transfer
    pub fn track_cross_device_transfer(
        &mut self,
        source_device: i32,
        target_device: i32,
        bytes_transferred: usize,
        transfer_type: CrossDeviceTransferType,
        duration: Duration,
    ) -> Result<Uuid> {
        let transfer_id = Uuid::new_v4();
        let bandwidth_achieved =
            bytes_transferred as f64 / (1024.0 * 1024.0 * 1024.0) / duration.as_secs_f64();

        let transfer = CrossDeviceTransfer {
            transfer_id,
            source_device,
            target_device,
            bytes_transferred,
            transfer_type,
            duration,
            bandwidth_achieved,
            p2p_enabled: self.detect_p2p_capability(source_device, target_device),
            timestamp: SystemTime::now(),
        };

        self.cross_device_transfers.push(transfer);
        Ok(transfer_id)
    }

    /// Get comprehensive memory analysis report
    pub fn get_memory_analysis_report(&self) -> MemoryAnalysisReport {
        let fragmentation_summary = self.analyze_fragmentation_trends();
        let bandwidth_summary = self.analyze_bandwidth_utilization();
        let pressure_summary = self.analyze_memory_pressure();
        let allocation_summary = self.analyze_allocation_patterns();
        let cross_device_summary = self.analyze_cross_device_transfers();

        MemoryAnalysisReport {
            fragmentation_summary,
            bandwidth_summary,
            pressure_summary,
            allocation_summary,
            cross_device_summary,
            optimization_recommendations: self.generate_memory_optimization_recommendations(),
        }
    }

    fn calculate_optimal_alignment(&self, size_bytes: usize) -> usize {
        // Calculate optimal memory alignment for GPU access
        if size_bytes >= 128 {
            128 // Cache line alignment
        } else if size_bytes >= 64 {
            64
        } else if size_bytes >= 32 {
            32
        } else {
            16
        }
    }

    fn update_memory_pressure(&mut self, device_id: i32) {
        if let Some(pool) = self.memory_pools.get(&device_id) {
            let pressure_snapshot = MemoryPressureSnapshot {
                timestamp: Utc::now(),
                device_id,
                pressure_level: pool.calculate_pressure_level(),
                available_memory_ratio: pool.get_available_memory_ratio(),
                allocation_rate: self.calculate_allocation_rate(device_id),
                deallocation_rate: self.calculate_deallocation_rate(device_id),
                gc_pressure: 0.0,   // Simplified
                swap_activity: 0.0, // Simplified
            };

            self.memory_pressure_monitor.add_snapshot(pressure_snapshot);
        }
    }

    fn detect_p2p_capability(&self, _source: i32, _target: i32) -> bool {
        // Simplified P2P detection - would use actual GPU capabilities
        true
    }

    fn calculate_allocation_rate(&self, device_id: i32) -> f64 {
        // Calculate allocations per second for the device
        let recent_allocations = self
            .memory_allocations
            .values()
            .filter(|a| a.device_id == device_id)
            .filter(|a| a.timestamp.elapsed().unwrap_or_default().as_secs() < 60)
            .count();

        recent_allocations as f64 / 60.0
    }

    fn calculate_deallocation_rate(&self, device_id: i32) -> f64 {
        // Calculate deallocations per second for the device
        let recent_deallocations = self
            .memory_allocations
            .values()
            .filter(|a| a.device_id == device_id && a.freed)
            .filter(|a| {
                if let Some(free_time) = a.free_timestamp {
                    free_time.elapsed().unwrap_or_default().as_secs() < 60
                } else {
                    false
                }
            })
            .count();

        recent_deallocations as f64 / 60.0
    }

    fn analyze_fragmentation_trends(&self) -> FragmentationSummary {
        // Analyze fragmentation trends from history
        FragmentationSummary::new(&self.fragmentation_history)
    }

    fn analyze_bandwidth_utilization(&self) -> BandwidthSummary {
        BandwidthSummary::new(&self.bandwidth_monitors)
    }

    fn analyze_memory_pressure(&self) -> MemoryPressureSummary {
        self.memory_pressure_monitor.get_summary()
    }

    fn analyze_allocation_patterns(&self) -> AllocationPatternSummary {
        AllocationPatternSummary::new(&self.memory_allocations)
    }

    fn analyze_cross_device_transfers(&self) -> CrossDeviceTransferSummary {
        CrossDeviceTransferSummary::new(&self.cross_device_transfers)
    }

    fn generate_memory_optimization_recommendations(
        &self,
    ) -> Vec<MemoryOptimizationRecommendation> {
        let mut recommendations = Vec::new();

        // Analyze fragmentation and suggest optimizations
        for snapshot in self.fragmentation_history.iter().take(10) {
            if snapshot.fragmentation_ratio > 0.3 {
                recommendations.push(MemoryOptimizationRecommendation {
                    recommendation_type: MemoryOptimizationType::DefragmentationStrategy,
                    priority: OptimizationPriority::High,
                    description: format!(
                        "High fragmentation detected on device {}: {:.1}%",
                        snapshot.device_id,
                        snapshot.fragmentation_ratio * 100.0
                    ),
                    expected_benefit: ExpectedBenefit {
                        performance_improvement: 15.0,
                        memory_efficiency_improvement: 25.0,
                        implementation_effort: ImplementationDifficulty::Moderate,
                    },
                    implementation_steps: vec![
                        "Implement memory pooling with fixed-size blocks".to_string(),
                        "Add periodic defragmentation during idle periods".to_string(),
                        "Consider memory compaction strategies".to_string(),
                    ],
                });
            }
        }

        recommendations
    }
}

// Helper structures for analysis reports

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MemoryAnalysisReport {
    pub fragmentation_summary: FragmentationSummary,
    pub bandwidth_summary: BandwidthSummary,
    pub pressure_summary: MemoryPressureSummary,
    pub allocation_summary: AllocationPatternSummary,
    pub cross_device_summary: CrossDeviceTransferSummary,
    pub optimization_recommendations: Vec<MemoryOptimizationRecommendation>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct FragmentationSummary {
    pub avg_fragmentation_ratio: f64,
    pub peak_fragmentation_ratio: f64,
    pub fragmentation_trend: FragmentationTrend,
    pub most_fragmented_device: i32,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum FragmentationTrend {
    Improving,
    Stable,
    Worsening,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct BandwidthSummary {
    pub avg_bandwidth_utilization: f64,
    pub peak_bandwidth_achieved: f64,
    pub bandwidth_efficiency_by_operation: HashMap<String, f64>,
    pub underutilized_devices: Vec<i32>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MemoryPressureSummary {
    pub current_pressure_levels: HashMap<i32, MemoryPressureLevel>,
    pub pressure_trend: PressureTrend,
    pub devices_under_pressure: Vec<i32>,
    pub time_in_high_pressure: Duration,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum PressureTrend {
    Decreasing,
    Stable,
    Increasing,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct AllocationPatternSummary {
    pub total_allocations: usize,
    pub avg_allocation_size: usize,
    pub largest_allocation: usize,
    pub allocation_size_distribution: HashMap<String, usize>,
    pub memory_leaks_detected: usize,
    pub allocation_hot_spots: Vec<AllocationHotSpot>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct AllocationHotSpot {
    pub location: String,
    pub allocation_frequency: f64,
    pub total_memory_allocated: usize,
    pub avg_allocation_lifetime: Duration,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct CrossDeviceTransferSummary {
    pub total_transfers: usize,
    pub total_bytes_transferred: usize,
    pub avg_transfer_bandwidth: f64,
    pub p2p_efficiency: f64,
    pub transfer_bottlenecks: Vec<TransferBottleneck>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct TransferBottleneck {
    pub device_pair: (i32, i32),
    pub bottleneck_type: TransferBottleneckType,
    pub impact_severity: f64,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum TransferBottleneckType {
    BandwidthLimited,
    LatencyBound,
    SynchronizationOverhead,
    P2PNotAvailable,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MemoryOptimizationRecommendation {
    pub recommendation_type: MemoryOptimizationType,
    pub priority: OptimizationPriority,
    pub description: String,
    pub expected_benefit: ExpectedBenefit,
    pub implementation_steps: Vec<String>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum MemoryOptimizationType {
    DefragmentationStrategy,
    MemoryPoolingOptimization,
    AllocationPatternOptimization,
    CrossDeviceTransferOptimization,
    PressureReliefStrategy,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum OptimizationPriority {
    Critical,
    High,
    Medium,
    Low,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ExpectedBenefit {
    pub performance_improvement: f64,
    pub memory_efficiency_improvement: f64,
    pub implementation_effort: ImplementationDifficulty,
}

// Default implementations for helper structures

impl Default for MemoryAccessPattern {
    fn default() -> Self {
        Self {
            access_frequency: 0.0,
            read_ratio: 0.5,
            write_ratio: 0.5,
            sequential_access_ratio: 0.8,
            random_access_ratio: 0.2,
            coalesced_access_ratio: 0.9,
            cache_hit_rate: 0.85,
        }
    }
}

// Implementation stubs for remaining structures

impl GpuMemoryPool {
    fn new(device_id: i32) -> Result<Self> {
        // Simplified implementation - would query actual GPU memory
        Ok(Self {
            device_id,
            total_memory: 8 * 1024 * 1024 * 1024, // 8GB
            free_memory: 8 * 1024 * 1024 * 1024,
            fragmentation_score: 0.0,
        })
    }

    fn allocate(&mut self, size: usize) -> Result<()> {
        if self.free_memory >= size {
            self.free_memory -= size;
            Ok(())
        } else {
            Err(anyhow::anyhow!("Insufficient memory"))
        }
    }

    fn deallocate(&mut self, size: usize) -> Result<()> {
        self.free_memory += size;
        Ok(())
    }

    fn get_fragmentation_snapshot(&self) -> Result<MemoryFragmentationSnapshot> {
        Ok(MemoryFragmentationSnapshot {
            timestamp: Utc::now(),
            device_id: self.device_id,
            total_memory: self.total_memory,
            free_memory: self.free_memory,
            largest_free_block: self.free_memory, // Simplified
            fragmentation_ratio: self.fragmentation_score,
            free_block_distribution: vec![self.free_memory],
            external_fragmentation: self.fragmentation_score * 0.7,
            internal_fragmentation: self.fragmentation_score * 0.3,
        })
    }

    fn calculate_pressure_level(&self) -> MemoryPressureLevel {
        let usage_ratio = 1.0 - (self.free_memory as f64 / self.total_memory as f64);

        if usage_ratio > 0.95 {
            MemoryPressureLevel::Critical
        } else if usage_ratio > 0.85 {
            MemoryPressureLevel::High
        } else if usage_ratio > 0.70 {
            MemoryPressureLevel::Medium
        } else {
            MemoryPressureLevel::Low
        }
    }

    fn get_available_memory_ratio(&self) -> f64 {
        self.free_memory as f64 / self.total_memory as f64
    }
}

impl GpuBandwidthMonitor {
    fn new(device_id: i32) -> Result<Self> {
        Ok(Self {
            device_id,
            bandwidth_samples: VecDeque::with_capacity(1000),
            theoretical_bandwidth: 900.0, // GB/s for high-end GPU
            peak_observed_bandwidth: 0.0,
            sustained_bandwidth_history: Vec::new(),
        })
    }

    fn add_sample(&mut self, sample: BandwidthSample) -> Result<()> {
        if sample.achieved_bandwidth_gb_s > self.peak_observed_bandwidth {
            self.peak_observed_bandwidth = sample.achieved_bandwidth_gb_s;
        }

        self.bandwidth_samples.push_back(sample);
        if self.bandwidth_samples.len() > 1000 {
            self.bandwidth_samples.pop_front();
        }

        Ok(())
    }
}

impl MemoryPressureMonitor {
    fn new() -> Self {
        Self {
            pressure_history: VecDeque::with_capacity(1000),
            pressure_thresholds: MemoryPressureThresholds {
                medium_threshold: 0.7,
                high_threshold: 0.85,
                critical_threshold: 0.95,
            },
            auto_optimization_enabled: true,
        }
    }

    fn add_snapshot(&mut self, snapshot: MemoryPressureSnapshot) {
        self.pressure_history.push_back(snapshot);
        if self.pressure_history.len() > 1000 {
            self.pressure_history.pop_front();
        }
    }

    fn get_summary(&self) -> MemoryPressureSummary {
        // Simplified implementation
        MemoryPressureSummary {
            current_pressure_levels: HashMap::new(),
            pressure_trend: PressureTrend::Stable,
            devices_under_pressure: Vec::new(),
            time_in_high_pressure: Duration::from_secs(0),
        }
    }
}

// Additional implementation stubs for summary structures

impl FragmentationSummary {
    fn new(_history: &VecDeque<MemoryFragmentationSnapshot>) -> Self {
        Self {
            avg_fragmentation_ratio: 0.1,
            peak_fragmentation_ratio: 0.2,
            fragmentation_trend: FragmentationTrend::Stable,
            most_fragmented_device: 0,
        }
    }
}

impl BandwidthSummary {
    fn new(_monitors: &HashMap<i32, GpuBandwidthMonitor>) -> Self {
        Self {
            avg_bandwidth_utilization: 0.75,
            peak_bandwidth_achieved: 800.0,
            bandwidth_efficiency_by_operation: HashMap::new(),
            underutilized_devices: Vec::new(),
        }
    }
}

impl AllocationPatternSummary {
    fn new(_allocations: &HashMap<Uuid, GpuMemoryAllocation>) -> Self {
        Self {
            total_allocations: 0,
            avg_allocation_size: 0,
            largest_allocation: 0,
            allocation_size_distribution: HashMap::new(),
            memory_leaks_detected: 0,
            allocation_hot_spots: Vec::new(),
        }
    }
}

impl CrossDeviceTransferSummary {
    fn new(_transfers: &[CrossDeviceTransfer]) -> Self {
        Self {
            total_transfers: 0,
            total_bytes_transferred: 0,
            avg_transfer_bandwidth: 0.0,
            p2p_efficiency: 0.9,
            transfer_bottlenecks: Vec::new(),
        }
    }
}

#[derive(Debug)]
struct GpuMemoryPool {
    device_id: i32,
    total_memory: usize,
    free_memory: usize,
    fragmentation_score: f64,
}

/// Configuration for advanced GPU profiling
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct AdvancedGpuProfilingConfig {
    /// Enable GPU profiling
    pub enable_gpu_profiling: bool,
    /// Number of GPU devices to profile
    pub device_count: i32,
    /// Enable memory profiling
    pub enable_memory_profiling: bool,
    /// Enable kernel profiling
    pub enable_kernel_profiling: bool,
    /// Enable bandwidth monitoring
    pub enable_bandwidth_monitoring: bool,
    /// Maximum number of allocations to track
    pub max_tracked_allocations: usize,
    /// Sampling rate for profiling (0.0 to 1.0)
    pub profiling_sampling_rate: f32,
    /// Enable fragmentation analysis
    pub enable_fragmentation_analysis: bool,
}

impl Default for AdvancedGpuProfilingConfig {
    fn default() -> Self {
        Self {
            enable_gpu_profiling: true,
            device_count: 1,
            enable_memory_profiling: true,
            enable_kernel_profiling: true,
            enable_bandwidth_monitoring: true,
            max_tracked_allocations: 10000,
            profiling_sampling_rate: 1.0,
            enable_fragmentation_analysis: true,
        }
    }
}

/// Summary report for kernel optimization
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct KernelOptimizationSummaryReport {
    pub total_kernels_analyzed: usize,
    pub optimization_opportunities_found: usize,
    pub high_impact_optimizations: Vec<HighImpactOptimization>,
    pub fusion_opportunities: usize,
    pub regression_alerts: usize,
    pub overall_optimization_score: f64,
    pub top_recommendations: Vec<String>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct HighImpactOptimization {
    pub kernel_name: String,
    pub optimization_type: String,
    pub expected_speedup: f64,
    pub implementation_difficulty: String,
    pub description: String,
}