Module gpu 

GPU acceleration backend for quantum operations

This module provides an abstraction layer for GPU-accelerated quantum computations, supporting multiple backends through SciRS2 GPU abstractions.

NOTE: This module is being migrated to use scirs2_core::gpu as per SciRS2 policy. New code should use the SciRS2 GPU abstractions directly.

Re-exports

pub use cpu_backend::CpuBackend;

pub use scirs2_adapter::get_gpu_system_info;

pub use scirs2_adapter::is_gpu_available;

pub use scirs2_adapter::SciRS2BufferAdapter;

pub use scirs2_adapter::SciRS2GpuBackend;

pub use scirs2_adapter::SciRS2GpuFactory;

pub use scirs2_adapter::SciRS2GpuMetrics;

pub use scirs2_adapter::SciRS2KernelAdapter;

pub use adaptive_hardware_optimization::AccessPattern;

pub use adaptive_hardware_optimization::AdaptiveHardwareOptimizer;

pub use adaptive_hardware_optimization::AdaptiveOptimizationConfig;

pub use adaptive_hardware_optimization::CalibrationResult;

pub use adaptive_hardware_optimization::HardwareAssessment;

pub use adaptive_hardware_optimization::OptimizationParams;

pub use adaptive_hardware_optimization::OptimizationReport;

pub use adaptive_hardware_optimization::OptimizationStrategy;

pub use adaptive_hardware_optimization::PerformanceProfile;

pub use adaptive_hardware_optimization::WorkloadCharacteristics;

pub use adaptive_simd::apply_batch_gates_adaptive;

pub use adaptive_simd::apply_single_qubit_adaptive;

pub use adaptive_simd::apply_two_qubit_adaptive;

pub use adaptive_simd::get_adaptive_performance_report;

pub use adaptive_simd::initialize_adaptive_simd;

pub use adaptive_simd::AdaptiveSimdDispatcher;

pub use adaptive_simd::CpuFeatures;

pub use adaptive_simd::SimdVariant;

pub use large_scale_simulation::LargeScaleGateType;

pub use large_scale_simulation::LargeScaleObservable;

pub use large_scale_simulation::LargeScalePerformanceStats;

pub use large_scale_simulation::LargeScaleSimAccelerator;

pub use large_scale_simulation::LargeScaleSimConfig;

pub use large_scale_simulation::LargeScaleStateVectorSim;

pub use large_scale_simulation::LargeScaleTensorContractor;

pub use large_scale_simulation::SimulationTaskType;

pub use large_scale_simulation::TensorDecompositionType;

pub use memory_bandwidth_optimization::MemoryBandwidthConfig;

pub use memory_bandwidth_optimization::MemoryBandwidthMetrics;

pub use memory_bandwidth_optimization::MemoryBandwidthOptimizer;

pub use memory_bandwidth_optimization::MemoryBufferPool;

pub use memory_bandwidth_optimization::MemoryLayout;

pub use memory_bandwidth_optimization::PoolStatistics;

pub use memory_bandwidth_optimization::StreamingTransfer;

pub use specialized_kernels::FusionType;

pub use specialized_kernels::OptimizationConfig;

pub use specialized_kernels::PerformanceReport;

pub use specialized_kernels::PostQuantumCompressionType;

pub use specialized_kernels::SpecializedGpuKernels;

Modules

adaptive_hardware_optimization

Advanced Adaptive Hardware Optimization Module

adaptive_simd

Adaptive SIMD dispatch based on CPU capabilities detection

cpu_backend

CPU backend implementation for GPU abstraction

large_scale_simulation

Large-Scale Quantum Simulation GPU Acceleration

memory_bandwidth_optimization

GPU Memory Bandwidth Optimization Module

scirs2_adapter

Enhanced SciRS2 GPU Integration and Adapter Layer

specialized_kernels

Enhanced GPU kernel optimization for specialized quantum gates

Structs

GpuBackendFactory

GPU backend factory

GpuConfig

Configuration for GPU operations

GpuStateVector

GPU-accelerated state vector

SciRS2GpuConfig

SciRS2 GPU configuration stub

Traits

EnhancedGpuBackend

Enhanced GPU backend trait for specialized quantum computations

GpuBackend

GPU backend trait for quantum computations

GpuBuffer

GPU memory buffer abstraction

GpuKernel

GPU kernel for quantum operations

SpecializedGpuKernel

Enhanced GPU kernel for specialized quantum operations