Module neural_integration

Expand description

Neural Network Integration for CUDA-WASM with ruv-FANN

This module provides seamless integration between CUDA-WASM transpiler and ruv-FANN neural networks for GPU-accelerated neural computation.

Features:

Automatic CUDA-to-WGSL transpilation for neural operations
GPU-accelerated forward/backward propagation
Memory-efficient data transfer between CPU and GPU
Automatic fallback to CPU when GPU unavailable
Performance monitoring and profiling
TypeScript bindings for web usage
5x+ speedup for neural network operations

Re-exports§

pub use bridge::WebGpuBackend;
pub use bridge::extract_wgsl_from_rust;
pub use bridge::execute_cpu_fallback;
pub use gpu_neural_ops::execute_operation;
pub use gpu_neural_ops::process_batch;
pub use memory_manager::HybridMemoryManager;
pub use performance_monitor::RealTimeMonitor;
pub use performance_monitor::NoOpMonitor;
pub use cuda_kernels::*;
pub use wasm_bindings::*;

Modules§

benchmarks: Comprehensive Benchmarks for Neural Integration
bridge: Bridge implementation connecting CUDA-WASM with ruv-FANN
cuda_kernels: Pre-optimized CUDA Kernels for Neural Operations
examples: Examples and Demos for Neural Integration
gpu_neural_ops: GPU Neural Operations for CUDA-WASM Integration
memory_manager: Memory Management for Neural Integration
performance_monitor: Performance Monitoring for Neural Integration
wasm_bindings: WebAssembly Bindings for Neural Integration
wasm_types: WASM types for neural integration

Structs§

BatchProcessor: Batch processor for efficient bulk operations
BridgeConfig: Configuration for the neural bridge
BufferHandle: Handle types
CompiledKernel: Compiled kernel representation
DeviceInfo: Device information
MemoryHandle
MemoryStats: Memory statistics
NeuralBridge: Main integration interface between CUDA-WASM and ruv-FANN
OperationHandle
OperationStats: Operation statistics
PerformanceDegradation: Performance degradation information
PerformanceStats: Performance statistics
SystemCapabilities: System capabilities

Enums§

ActivationFunction: Activation function types
BindingType: Binding types for shaders
GpuDevice: GPU device preference
NeuralIntegrationError: Errors specific to neural integration
NeuralOperation: Neural operation types
Precision: Precision level for computations

Traits§

GpuBackendTrait: Trait for GPU backend implementations
MemoryManagerTrait: Trait for memory management
PerformanceMonitorTrait: Trait for performance monitoring

Functions§

get_capabilities: Get system capabilities
initialize: Initialize the neural integration system

Type Aliases§

NeuralResult