scirs2-linalg 0.4.2

Linear algebra module for SciRS2 (scirs2-linalg)
Documentation
//! NUMA topology optimization for neural memory management.

use super::types::*;
use crate::error::{LinalgError, LinalgResult};
use scirs2_core::ndarray::Array2;
use std::collections::{HashMap, VecDeque};

/// NUMA topology optimizer
#[derive(Debug)]
#[allow(dead_code)]
pub struct NumaTopologyOptimizer {
    /// NUMA topology
    numa_topology: NumaTopology,
    /// Memory allocation strategies
    allocation_strategies: Vec<MemoryAllocationStrategy>,
    /// Performance monitor
    performance_monitor: NumaPerformanceMonitor,
    /// Optimization policies
    optimization_policies: Vec<NumaOptimizationPolicy>,
}

/// NUMA topology information
#[derive(Debug)]
pub struct NumaTopology {
    /// NUMA nodes
    pub nodes: Vec<NumaNode>,
    /// Inter-node distances
    pub distancematrix: Array2<f64>,
    /// Bandwidth matrix
    pub bandwidthmatrix: Array2<f64>,
    /// Latency matrix
    pub latencymatrix: Array2<f64>,
}

/// NUMA node information
#[derive(Debug)]
pub struct NumaNode {
    /// Node ID
    pub id: usize,
    /// CPU cores
    pub cpu_cores: Vec<usize>,
    /// Memory size
    pub memorysize: usize,
    /// Memory bandwidth
    pub memory_bandwidth: f64,
    /// Current utilization
    pub utilization: f64,
    /// Temperature
    pub temperature: f64,
}

/// Memory allocation strategies for NUMA
#[derive(Debug, Clone, PartialEq)]
pub enum MemoryAllocationStrategy {
    Local,
    Interleaved,
    Preferred(usize),
    Bind(usize),
    Adaptive,
    MLDriven,
}

/// NUMA performance monitor
#[derive(Debug)]
#[allow(dead_code)]
pub struct NumaPerformanceMonitor {
    /// Memory access patterns
    access_patterns: HashMap<usize, VecDeque<MemoryAccessSample>>,
    /// Cross-node traffic
    cross_node_traffic: Array2<f64>,
    /// Node utilization history
    utilization_history: HashMap<usize, VecDeque<f64>>,
    /// Performance metrics
    performance_metrics: VecDeque<NumaPerformanceMetrics>,
}

/// Memory access sample
#[derive(Debug, Clone)]
pub struct MemoryAccessSample {
    /// Timestamp
    pub timestamp: std::time::Instant,
    /// Source node
    pub source_node: usize,
    /// Target node
    pub target_node: usize,
    /// Access size
    pub accesssize: usize,
    /// Access type
    pub access_type: MemoryAccessType,
    /// Latency
    pub latency: f64,
}

/// NUMA performance metrics
#[derive(Debug, Clone)]
pub struct NumaPerformanceMetrics {
    /// Overall throughput
    pub throughput: f64,
    /// Average latency
    pub average_latency: f64,
    /// Cross-node penalty
    pub cross_node_penalty: f64,
    /// Load imbalance
    pub load_imbalance: f64,
    /// Memory utilization efficiency
    pub memory_efficiency: f64,
    /// Timestamp
    pub timestamp: std::time::Instant,
}

/// NUMA optimization policies
#[derive(Debug)]
pub struct NumaOptimizationPolicy {
    /// Policy name
    pub name: String,
    /// Trigger conditions
    pub triggers: Vec<NumaOptimizationTrigger>,
    /// Actions to take
    pub actions: Vec<NumaOptimizationAction>,
    /// Success criteria
    pub success_criteria: Vec<NumaSuccessCriterion>,
}

/// Triggers for NUMA optimization
#[derive(Debug, Clone)]
pub enum NumaOptimizationTrigger {
    HighCrossNodeTraffic(f64),
    LoadImbalance(f64),
    MemoryPressure(f64),
    PerformanceDegradation(f64),
    TemperatureThreshold(f64),
}

/// NUMA optimization actions
#[derive(Debug, Clone)]
pub enum NumaOptimizationAction {
    RebalanceWorkload,
    MigrateMemory,
    ChangeAllocationStrategy(MemoryAllocationStrategy),
    AdjustThreadAffinity,
    Defragment,
}

/// Success criteria for NUMA optimization
#[derive(Debug, Clone)]
pub enum NumaSuccessCriterion {
    ThroughputImprovement(f64),
    LatencyReduction(f64),
    EfficiencyIncrease(f64),
    TemperatureReduction(f64),
}

// Implementations
impl NumaTopologyOptimizer {
    pub fn new() -> LinalgResult<Self> {
        Ok(Self {
            numa_topology: NumaTopology::detect()?,
            allocation_strategies: vec![MemoryAllocationStrategy::Adaptive],
            performance_monitor: NumaPerformanceMonitor::new(),
            optimization_policies: Vec::new(),
        })
    }

    pub fn optimize_allocation(
        &self,
        _workload: &WorkloadCharacteristics,
    ) -> LinalgResult<MemoryAllocationStrategy> {
        // Simplified optimization
        Ok(MemoryAllocationStrategy::Local)
    }
}

impl NumaTopology {
    pub fn detect() -> LinalgResult<Self> {
        Ok(Self {
            nodes: Vec::new(),
            distancematrix: Array2::zeros((1, 1)),
            bandwidthmatrix: Array2::zeros((1, 1)),
            latencymatrix: Array2::zeros((1, 1)),
        })
    }
}

impl Default for NumaPerformanceMonitor {
    fn default() -> Self {
        Self::new()
    }
}

impl NumaPerformanceMonitor {
    pub fn new() -> Self {
        Self {
            access_patterns: HashMap::new(),
            cross_node_traffic: Array2::zeros((1, 1)),
            utilization_history: HashMap::new(),
            performance_metrics: VecDeque::new(),
        }
    }
}