Module gpu_optimization 

Advanced GPU Optimization Engine

This module provides GPU-aware optimization heuristics and genuinely measured execution paths for dataset operations: adaptive kernel selection, auto-tuning, and benchmarking that report only what was actually dispatched and timed on this process — never a fabricated speedup.

Backend model

AdvancedGpuOptimizer keeps this crate’s own crate::gpu::GpuBackend / crate::gpu::GpuContext as its public backend-selection type: it is also the type used throughout the rest of this crate’s GPU-flavored dataset generators and is re-exported at the crate root, so replacing it with scirs2_core::gpu’s (differently shaped, unit-variant-only) backend type would ripple far beyond this module.

Requesting GpuBackend::Cuda or GpuBackend::OpenCl here does not dispatch vendor-specific kernels — both route through the same real, backend-agnostic wgpu/GpuNdarray compute path used by this crate’s (crate-private) generators::gpu_dispatch module — see that module for the canonical pattern this file follows — with an honest, silent fallback to the CPU path whenever no adapter is present, the workload is too small to be worth transferring, or the wgpu feature is disabled at compile time. GpuBackend::Cpu never attempts a GPU dispatch, by design.

For genuine vendor-specific NVIDIA CUDA execution via the pure-Rust oxicuda-* stack, see crate::gpu_cuda (feature = "cuda") — a separate, additive path not currently wired into this optimizer.

Structs

AIPerformancePredictor

Advanced MODE ENHANCEMENTS Advanced AI-driven optimization and real-time monitoring capabilities AI-driven performance predictor using machine learning

AdaptiveOptimizationState

Adaptive optimization state

AdvancedGpuOptimizer

Advanced-advanced GPU performance optimizer

AdvancedKernelConfig

Advanced-advanced GPU kernel configuration

BenchmarkResult

Individual benchmark result

GpuPerformanceProfile

GPU performance profiling data

MonitoringConfig

Monitoring configuration

OptimizationAdjustment

Optimization adjustment made by the adaptive system

PerformanceBenchmarkResults

Performance benchmark results

PerformanceDataPoint

Performance data point for ML training

PerformanceSnapshot

Performance snapshot at a specific point in time

PerformanceStats

Performance statistics summary

PredictionAccuracy

Prediction accuracy metrics

RealTimePerformanceMonitor

Real-time performance monitor with adaptive optimization

Enums

AdjustmentType

Types of optimization adjustments

DataLayout

Data layout optimization strategies

LoadBalancingMethod

Load balancing methods

MemoryAccessPattern

Memory access pattern optimization

PerformanceTrend

Performance trend analysis

SpecializationLevel

Kernel specialization levels

VectorizationStrategy

Vectorization strategies

Functions

benchmark_advanced_performance

Convenience function for performance benchmarking

generate_advanced_matrix

Convenience function for advanced-optimized matrix generation