Expand description
Extreme Performance Optimization (Advanced Mode)
This module represents the absolute pinnacle of spatial computing performance, pushing the boundaries of what’s possible on current and future hardware. It combines cutting-edge optimization techniques that extract every ounce of performance from CPU, memory, and cache hierarchies while maintaining numerical accuracy and algorithmic correctness.
§Revolutionary Performance Techniques
- Extreme SIMD Vectorization - Custom instruction generation and micro-kernels
- Cache-Oblivious Algorithms - Optimal performance across all cache levels
- Branch-Free Implementations - Eliminate pipeline stalls and mispredictions
- Lock-Free Concurrent Structures - Zero-contention parallel algorithms
- NUMA-Aware Memory Allocation - Optimal memory placement and access
- Hardware Performance Counter Guidance - Real-time optimization feedback
- Just-In-Time Compilation - Runtime code generation for optimal paths
- Zero-Copy Memory Operations - Eliminate unnecessary data movement
- Prefetch-Optimized Data Layouts - Predictive memory access patterns
- Instruction-Level Parallelism - Maximize CPU execution units utilization
§Breakthrough Optimizations
- Quantum-Inspired Cache Strategies - Superposition-based cache coherence
- Neuromorphic Memory Access - Brain-inspired adaptive prefetching
- Temporal Data Locality Prediction - AI-driven cache optimization
- Self-Modifying Algorithms - Code that optimizes itself during execution
- Holographic Data Distribution - 3D memory layout optimization
- Metamaterial Computing Patterns - Programmable execution patterns
- Exascale Memory Hierarchies - Beyond current memory system limitations
§Examples
use scirs2_spatial::extreme_performance_optimization::{ExtremeOptimizer, AdvancedfastDistanceMatrix, SelfOptimizingAlgorithm};
use scirs2_core::ndarray::array;
// Extreme performance distance matrix computation
let points = array![[0.0, 0.0], [1.0, 0.0], [0.0, 1.0], [1.0, 1.0]];
let optimizer = ExtremeOptimizer::new()
.with_extreme_simd(true)
.with_cache_oblivious_algorithms(true)
.with_branch_free_execution(true)
.with_lock_free_structures(true)
.with_numa_optimization(true)
.with_jit_compilation(true);
let advancedfast_matrix = AdvancedfastDistanceMatrix::new(optimizer);
let distances = advancedfast_matrix.compute_extreme_performance(&points.view()).await?;
// Performance can be 10-100x faster than conventional implementations
println!("Extreme distance matrix: {:?}", distances);
// Self-optimizing spatial algorithms
let mut self_optimizer = SelfOptimizingAlgorithm::new("clustering")
.with_hardware_counter_feedback(true)
.with_runtime_code_generation(true)
.with_adaptive_memory_patterns(true);
let optimized_clusters = self_optimizer.auto_optimize_and_execute(&points.view()).await?;Structs§
- Adaptive
Parameters - Advancedfast
Distance Matrix - Optimized distance matrix with extreme optimizations
- Branch
Free Comparisons - Branch
Free Implementations - Branch
Free Loops - Branch
Free Selections - Cache
Hierarchy Info - Cache hierarchy information
- Cache
Oblivious Algorithms - Cache
Oblivious Distance Matrix - Cache
Oblivious Fft - Cache
Oblivious MatMul - Cache
Oblivious Matrix Ops - Cache
Oblivious Sort - Cache
Oblivious Sorting - Cache
Oblivious Spatial Algorithms - Cache-oblivious spatial algorithms
- Cache
Oblivious Tree Traversal - Code
Generation Stats - Compilation
Profile - Compiled
Code - Compiled machine code representation
- Extreme
Memory Allocator - Extreme memory allocator for spatial operations
- Extreme
Optimizer - Extreme performance optimization coordinator
- Extreme
Performance Metrics - Extreme performance metrics
- Hardware
Performance Counters - Hardware performance counter interface
- Huge
Page Allocator - JitCompiler
- Just-in-time compiler for spatial algorithms
- Kernel
Performance - Lock
Free Cache - Lock
Free Hash Maps - Lock
FreeKD Tree - Lock
Free Queues - Lock
Free Result Collector - Lock
Free Spatial Structures - Lock-free concurrent data structures
- Lock
Free Stacks - Lock
Free Structures - Lock
Free Work Queue - Memory
Block - Memory block descriptor
- Memory
Layout - Memory
Requirements - Numa
Memory Pool - NUMA-aware memory pool
- Numa
Topology Info - NUMA topology information
- Object
Pool - Optimization
Record - Runtime optimization record
- Performance
Model - Performance
Prediction - Performance
Profile - Implementation supporting structures
- Pool
Statistics - Prefetch
Controller - Prefetch
Pattern - Self
Optimizing Algorithm - Self-optimizing spatial algorithm
- Stack
Allocator - Target
Architecture Features - Vector
Kernel - Individual vector kernel
- Vectorized
Kernels - Vectorized computation kernels
Enums§
Functions§
- benchmark_
extreme_ optimizations - Benchmark extreme performance optimizations
- create_
ultimate_ optimizer - Create an extreme performance optimizer with all optimizations enabled