torsh_tensor/

hardware_accelerators_specialized.rs

//! Specialized, Network, and Coordination Accelerator Engines
//!
//! This module is a sibling to `hardware_accelerators` and contains the
//! `NetworkAcceleratorEngine`, `SpecializedAcceleratorEngine`,
//! `OptimizationCoordinator` and all their constituent types/impls.
//!
//! It is included via `#[path]` from `hardware_accelerators.rs` so it
//! inherits the parent module's `use` declarations through `use super::*;`.

use super::*;

// ---------------------------------------------------------------------------
// NetworkAcceleratorEngine
// ---------------------------------------------------------------------------

/// Network and interconnect accelerator engine
#[derive(Debug, Clone)]
pub struct NetworkAcceleratorEngine {
    /// High-speed interconnect optimizations
    interconnect_optimizations: InterconnectOptimizations,
    /// Multi-node communication optimizations
    communication_optimizations: CommunicationOptimizations,
    /// Distributed computing optimizations
    distributed_optimizations: DistributedOptimizations,
    /// Network topology optimizations
    topology_optimizations: TopologyOptimizations,
}

/// Network acceleration metrics
#[derive(Debug, Clone)]
pub struct NetworkAccelerationMetrics {
    pub communication_latency_reduction: f64,
    pub bandwidth_utilization: f64,
    pub message_passing_efficiency: f64,
    pub topology_efficiency: f64,
    pub scalability_factor: f64,
}

// Leaf placeholder types for NetworkAcceleratorEngine
impl_placeholder_accelerator!(InterconnectOptimizations);
impl_placeholder_accelerator!(CommunicationOptimizations);
impl_placeholder_accelerator!(DistributedOptimizations);
impl_placeholder_accelerator!(TopologyOptimizations);

impl NetworkAcceleratorEngine {
    pub fn new() -> Self {
        Self {
            interconnect_optimizations: InterconnectOptimizations::default(),
            communication_optimizations: CommunicationOptimizations::default(),
            distributed_optimizations: DistributedOptimizations::default(),
            topology_optimizations: TopologyOptimizations::default(),
        }
    }

    pub fn initialize_for_network(
        &mut self,
        _platform_info: &PlatformDetectionResult,
    ) -> Result<(), Box<dyn std::error::Error>> {
        // Initialize network-specific accelerators based on detected platform

        // Note: PlatformDetectionResult network APIs not yet available
        // Note: Network optimizer configuration methods not yet available
        // TODO: Implement when PlatformDetectionResult and optimizer APIs are expanded
        //
        // Expected functionality:
        // - Detect network type (Ethernet, InfiniBand, etc.)
        // - Measure bandwidth capabilities
        // - Detect RDMA support
        // - Configure interconnect optimizations
        // - Enable zero-copy transfers where supported
        // - Optimize communication patterns
        // - Detect and optimize for network topology

        Ok(())
    }
}

// ---------------------------------------------------------------------------
// SpecializedAcceleratorEngine
// ---------------------------------------------------------------------------

/// Specialized hardware accelerator engine
#[derive(Debug, Clone)]
pub struct SpecializedAcceleratorEngine {
    /// Tensor Processing Unit accelerators
    tpu_accelerators: TpuAccelerators,
    /// FPGA accelerators
    fpga_accelerators: FpgaAccelerators,
    /// Neural Processing Unit accelerators
    npu_accelerators: NpuAccelerators,
    /// Custom accelerator support
    custom_accelerators: CustomAcceleratorSupport,
    /// Quantum computing interfaces
    quantum_interfaces: QuantumComputingInterfaces,
}

/// Tensor Processing Unit accelerators
#[derive(Debug, Clone)]
pub struct TpuAccelerators {
    /// Google TPU integration
    google_tpu_integration: GoogleTpuIntegration,
    /// TPU matrix multiplication optimization
    tpu_matmul_optimizer: TpuMatmulOptimizer,
    /// TPU memory optimization
    tpu_memory_optimizer: TpuMemoryOptimizer,
    /// TPU pipeline optimization
    tpu_pipeline_optimizer: TpuPipelineOptimizer,
}

/// FPGA accelerators
#[derive(Debug, Clone)]
pub struct FpgaAccelerators {
    /// FPGA bitstream optimization
    bitstream_optimizer: FpgaBitstreamOptimizer,
    /// FPGA logic utilization optimizer
    logic_utilization_optimizer: FpgaLogicOptimizer,
    /// FPGA memory optimization
    fpga_memory_optimizer: FpgaMemoryOptimizer,
    /// FPGA interconnect optimization
    interconnect_optimizer: FpgaInterconnectOptimizer,
}

/// Neural Processing Unit accelerators
#[derive(Debug, Clone)]
pub struct NpuAccelerators {
    /// NPU workload optimization
    npu_workload_optimizer: NpuWorkloadOptimizer,
    /// NPU precision optimization
    npu_precision_optimizer: NpuPrecisionOptimizer,
    /// NPU memory hierarchy optimization
    npu_memory_hierarchy_optimizer: NpuMemoryHierarchyOptimizer,
    /// NPU inference optimization
    npu_inference_optimizer: NpuInferenceOptimizer,
}

/// Custom accelerator support
#[derive(Debug, Clone)]
pub struct CustomAcceleratorSupport {
    /// Custom accelerator registry
    accelerator_registry: CustomAcceleratorRegistry,
    /// Custom driver interface
    driver_interface: CustomDriverInterface,
    /// Custom optimization framework
    optimization_framework: CustomOptimizationFramework,
    /// Custom performance monitor
    performance_monitor: CustomPerformanceMonitor,
}

/// Quantum computing interfaces
#[derive(Debug, Clone)]
pub struct QuantumComputingInterfaces {
    /// Quantum gate optimization
    quantum_gate_optimizer: QuantumGateOptimizer,
    /// Quantum circuit optimization
    quantum_circuit_optimizer: QuantumCircuitOptimizer,
    /// Quantum error correction
    quantum_error_correction: QuantumErrorCorrection,
    /// Quantum-classical hybrid optimization
    hybrid_optimizer: QuantumClassicalHybridOptimizer,
}

// Leaf placeholder types for SpecializedAcceleratorEngine
impl_placeholder_accelerator!(GoogleTpuIntegration);
impl_placeholder_accelerator!(TpuMatmulOptimizer);
impl_placeholder_accelerator!(TpuMemoryOptimizer);
impl_placeholder_accelerator!(TpuPipelineOptimizer);
impl_placeholder_accelerator!(FpgaBitstreamOptimizer);
impl_placeholder_accelerator!(FpgaLogicOptimizer);
impl_placeholder_accelerator!(FpgaMemoryOptimizer);
impl_placeholder_accelerator!(FpgaInterconnectOptimizer);
impl_placeholder_accelerator!(NpuWorkloadOptimizer);
impl_placeholder_accelerator!(NpuPrecisionOptimizer);
impl_placeholder_accelerator!(NpuMemoryHierarchyOptimizer);
impl_placeholder_accelerator!(NpuInferenceOptimizer);
impl_placeholder_accelerator!(CustomAcceleratorRegistry);
impl_placeholder_accelerator!(CustomDriverInterface);
impl_placeholder_accelerator!(CustomOptimizationFramework);
impl_placeholder_accelerator!(CustomPerformanceMonitor);
impl_placeholder_accelerator!(QuantumGateOptimizer);
impl_placeholder_accelerator!(QuantumCircuitOptimizer);
impl_placeholder_accelerator!(QuantumErrorCorrection);
impl_placeholder_accelerator!(QuantumClassicalHybridOptimizer);

// Default impls for SpecializedAcceleratorEngine constituent types
impl_default_complex!(TpuAccelerators, {
    google_tpu_integration: GoogleTpuIntegration,
    tpu_matmul_optimizer: TpuMatmulOptimizer,
    tpu_memory_optimizer: TpuMemoryOptimizer,
    tpu_pipeline_optimizer: TpuPipelineOptimizer
});

impl_default_complex!(FpgaAccelerators, {
    bitstream_optimizer: FpgaBitstreamOptimizer,
    logic_utilization_optimizer: FpgaLogicOptimizer,
    fpga_memory_optimizer: FpgaMemoryOptimizer,
    interconnect_optimizer: FpgaInterconnectOptimizer
});

impl_default_complex!(NpuAccelerators, {
    npu_workload_optimizer: NpuWorkloadOptimizer,
    npu_precision_optimizer: NpuPrecisionOptimizer,
    npu_memory_hierarchy_optimizer: NpuMemoryHierarchyOptimizer,
    npu_inference_optimizer: NpuInferenceOptimizer
});

impl_default_complex!(CustomAcceleratorSupport, {
    accelerator_registry: CustomAcceleratorRegistry,
    driver_interface: CustomDriverInterface,
    optimization_framework: CustomOptimizationFramework,
    performance_monitor: CustomPerformanceMonitor
});

impl_default_complex!(QuantumComputingInterfaces, {
    quantum_gate_optimizer: QuantumGateOptimizer,
    quantum_circuit_optimizer: QuantumCircuitOptimizer,
    quantum_error_correction: QuantumErrorCorrection,
    hybrid_optimizer: QuantumClassicalHybridOptimizer
});

impl SpecializedAcceleratorEngine {
    pub fn new() -> Self {
        Self {
            tpu_accelerators: TpuAccelerators::default(),
            fpga_accelerators: FpgaAccelerators::default(),
            npu_accelerators: NpuAccelerators::default(),
            custom_accelerators: CustomAcceleratorSupport::default(),
            quantum_interfaces: QuantumComputingInterfaces::default(),
        }
    }

    pub fn initialize_for_specialized(
        &mut self,
        _specialized_info: &SpecializedDetectionResult,
    ) -> Result<(), Box<dyn std::error::Error>> {
        // Initialize specialized accelerators based on detected specialized hardware

        // Note: SpecializedDetectionResult API not yet available for detection
        // Note: Accelerator configuration methods not yet available
        // TODO: Implement when SpecializedDetectionResult and accelerator APIs are expanded
        //
        // Expected functionality:
        // - Detect TPU/FPGA/NPU/Quantum hardware
        // - Configure accelerator-specific settings
        // - Enable hardware-specific optimizations
        // - Load firmware/bitstreams where needed

        Ok(())
    }
}

// ---------------------------------------------------------------------------
// OptimizationCoordinator
// ---------------------------------------------------------------------------

/// Optimization coordinator for cross-hardware optimization
#[derive(Debug, Clone)]
pub struct OptimizationCoordinator {
    /// Hardware resource manager
    resource_manager: HardwareResourceManager,
    /// Load balancing engine
    load_balancer: LoadBalancingEngine,
    /// Performance monitoring system
    performance_monitor: PerformanceMonitoringSystem,
    /// Adaptive optimization engine
    adaptive_optimizer: AdaptiveOptimizationEngine,
    /// Real-time decision maker
    decision_maker: RealTimeDecisionMaker,
}

/// Hardware resource manager
#[derive(Debug, Clone)]
pub struct HardwareResourceManager {
    /// Resource allocation tracker
    resource_tracker: ResourceAllocationTracker,
    /// Resource contention resolver
    contention_resolver: ResourceContentionResolver,
    /// Resource utilization optimizer
    utilization_optimizer: ResourceUtilizationOptimizer,
    /// Resource scheduling engine
    scheduling_engine: ResourceSchedulingEngine,
}

/// Load balancing engine
#[derive(Debug, Clone)]
pub struct LoadBalancingEngine {
    /// Workload analyzer
    workload_analyzer: WorkloadAnalyzer,
    /// Load distribution optimizer
    load_distribution_optimizer: LoadDistributionOptimizer,
    /// Dynamic load balancer
    dynamic_load_balancer: DynamicLoadBalancer,
    /// Performance predictor
    performance_predictor: PerformancePredictor,
}

/// Performance monitoring system
#[derive(Debug, Clone)]
pub struct PerformanceMonitoringSystem {
    /// Real-time performance tracker
    performance_tracker: RealTimePerformanceTracker,
    /// Performance metric collector
    metric_collector: PerformanceMetricCollector,
    /// Performance anomaly detector
    anomaly_detector: PerformanceAnomalyDetector,
    /// Performance regression tracker
    regression_tracker: PerformanceRegressionTracker,
}

/// Adaptive optimization engine
#[derive(Debug, Clone)]
pub struct AdaptiveOptimizationEngine {
    /// Machine learning optimizer
    ml_optimizer: MlOptimizer,
    /// Reinforcement learning engine
    rl_engine: ReinforcementLearningEngine,
    /// Genetic algorithm optimizer
    genetic_optimizer: GeneticAlgorithmOptimizer,
    /// Bayesian optimization engine
    bayesian_optimizer: BayesianOptimizationEngine,
}

/// Real-time decision maker
#[derive(Debug, Clone)]
pub struct RealTimeDecisionMaker {
    /// Decision tree engine
    decision_tree_engine: DecisionTreeEngine,
    /// Policy engine
    policy_engine: PolicyEngine,
    /// Rule-based optimizer
    rule_based_optimizer: RuleBasedOptimizer,
    /// Context-aware optimizer
    context_aware_optimizer: ContextAwareOptimizer,
}

// Leaf placeholder types for OptimizationCoordinator
impl_placeholder_accelerator!(ResourceAllocationTracker);
impl_placeholder_accelerator!(ResourceContentionResolver);
impl_placeholder_accelerator!(ResourceUtilizationOptimizer);
impl_placeholder_accelerator!(ResourceSchedulingEngine);
impl_placeholder_accelerator!(WorkloadAnalyzer);
impl_placeholder_accelerator!(LoadDistributionOptimizer);
impl_placeholder_accelerator!(DynamicLoadBalancer);
impl_placeholder_accelerator!(PerformancePredictor);
impl_placeholder_accelerator!(RealTimePerformanceTracker);
impl_placeholder_accelerator!(PerformanceMetricCollector);
impl_placeholder_accelerator!(PerformanceAnomalyDetector);
impl_placeholder_accelerator!(PerformanceRegressionTracker);
impl_placeholder_accelerator!(MlOptimizer);
impl_placeholder_accelerator!(ReinforcementLearningEngine);
impl_placeholder_accelerator!(GeneticAlgorithmOptimizer);
impl_placeholder_accelerator!(BayesianOptimizationEngine);
impl_placeholder_accelerator!(DecisionTreeEngine);
impl_placeholder_accelerator!(PolicyEngine);
impl_placeholder_accelerator!(RuleBasedOptimizer);
impl_placeholder_accelerator!(ContextAwareOptimizer);

// Default impls for OptimizationCoordinator constituent types
impl_default_complex!(HardwareResourceManager, {
    resource_tracker: ResourceAllocationTracker,
    contention_resolver: ResourceContentionResolver,
    utilization_optimizer: ResourceUtilizationOptimizer,
    scheduling_engine: ResourceSchedulingEngine
});

impl_default_complex!(LoadBalancingEngine, {
    workload_analyzer: WorkloadAnalyzer,
    load_distribution_optimizer: LoadDistributionOptimizer,
    dynamic_load_balancer: DynamicLoadBalancer,
    performance_predictor: PerformancePredictor
});

impl_default_complex!(PerformanceMonitoringSystem, {
    performance_tracker: RealTimePerformanceTracker,
    metric_collector: PerformanceMetricCollector,
    anomaly_detector: PerformanceAnomalyDetector,
    regression_tracker: PerformanceRegressionTracker
});

impl_default_complex!(AdaptiveOptimizationEngine, {
    ml_optimizer: MlOptimizer,
    rl_engine: ReinforcementLearningEngine,
    genetic_optimizer: GeneticAlgorithmOptimizer,
    bayesian_optimizer: BayesianOptimizationEngine
});

impl_default_complex!(RealTimeDecisionMaker, {
    decision_tree_engine: DecisionTreeEngine,
    policy_engine: PolicyEngine,
    rule_based_optimizer: RuleBasedOptimizer,
    context_aware_optimizer: ContextAwareOptimizer
});

impl OptimizationCoordinator {
    pub fn new() -> Self {
        Self {
            resource_manager: HardwareResourceManager::default(),
            load_balancer: LoadBalancingEngine::default(),
            performance_monitor: PerformanceMonitoringSystem::default(),
            adaptive_optimizer: AdaptiveOptimizationEngine::default(),
            decision_maker: RealTimeDecisionMaker::default(),
        }
    }
}