437 lines
12 KiB
Rust
437 lines
12 KiB
Rust
// Production-ready Computational Fluid Dynamics library for RustyTorch
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// with GPU acceleration using cudarc 0.17.3
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//#![deny(missing_docs)] // Temporarily disabled for development
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#![allow(clippy::module_name_repetitions)]
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//! # RTX CFD - Computational Fluid Dynamics for `RustyTorch`
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//!
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//! A production-ready CFD library with full GPU acceleration for solving incompressible
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//! and compressible fluid flow problems. This crate provides:
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//!
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//! - **Mesh Management**: Structured and unstructured grids with adaptive refinement
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//! - **Solvers**: SIMPLE, PISO algorithms for incompressible flows
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//! - **Lattice Boltzmann**: D2Q9 and D3Q19 methods for complex geometries
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//! - **Discretization**: Finite Volume Method (FVM) and Finite Difference Method (FDM)
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//! - **Boundary Conditions**: Comprehensive BC support for all flow types
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//! - **Turbulence Models**: k-ε and k-ω SST models
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//! - **GPU Acceleration**: Custom CUDA kernels for maximum performance
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//!
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//! ## Quick Start
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//!
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//! ```rust
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//! use rtx_cfd::{CfdConfig, init};
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//!
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//! // Initialize the CFD library
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//! let config = CfdConfig::new()
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//! .with_density(1000.0)
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//! .with_viscosity(1e-6);
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//!
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//! // Calculate Reynolds number
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//! let re = config.reynolds_number();
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//! println!("Reynolds number: {}", re);
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//!
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//! // Initialize library
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//! let _ = init();
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//! ```
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//!
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//! ## Features
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//!
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//! - `cuda`: Enable NVIDIA GPU acceleration via cudarc
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//! - `metal`: Enable Apple Metal GPU acceleration (macOS only)
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//! - `metal4`: Enable Metal 4 features (requires macOS 26+)
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//! - `rtx-integration`: Integration with RTX tensor and memory systems
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/// Error types and result definitions for CFD operations
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pub mod error;
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/// Core traits for CFD components (solvers, fields, mesh entities)
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pub mod traits;
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// pub mod field;
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/// Discretization schemes (FVM, FDM, TVD limiters)
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pub mod discretization;
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/// GPU kernels for CFD computations
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pub mod kernels;
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/// Mesh generation and management
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pub mod mesh;
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/// CFD solvers and algorithms
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pub mod solvers;
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// pub mod boundary;
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/// GPU backend abstraction (CUDA/Metal)
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pub mod compute;
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/// Turbulence models (k-ε, Smagorinsky, wall functions)
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pub mod turbulence;
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// pub mod lbm;
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// pub mod utils;
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// Re-export core types for convenience
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pub use error::{CfdError, CfdResult};
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pub use traits::{
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BoundaryCondition, BoundaryConditionType, CfdSolver, FluidField, MeshEntity, MeshEntityType,
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SolverParameters, TimeIntegrator, TurbulenceModel, TurbulenceParameters,
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};
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/// CFD simulation configuration
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#[derive(Debug, Clone)]
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pub struct CfdConfig {
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/// Grid dimensions
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pub nx: usize,
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pub ny: usize,
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pub nz: usize,
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/// Domain size
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pub lx: f64,
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pub ly: f64,
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pub lz: f64,
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/// Time step
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pub dt: f64,
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/// Physical properties
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pub density: f64,
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/// Dynamic viscosity
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pub viscosity: f64,
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/// Reference velocity
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pub reference_velocity: f64,
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/// Reference length
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pub reference_length: f64,
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/// Enable GPU acceleration
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pub use_gpu: bool,
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/// CUDA device ID
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pub device_id: i32,
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/// Memory pool size for GPU allocations (bytes)
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pub gpu_memory_pool_size: usize,
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}
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impl Default for CfdConfig {
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fn default() -> Self {
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Self {
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nx: 64,
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ny: 64,
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nz: 1,
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lx: 1.0,
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ly: 1.0,
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lz: 1.0,
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dt: 0.001,
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density: 1.0, // kg/m³ (water at STP)
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viscosity: 1e-3, // Pa·s (water at STP)
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reference_velocity: 1.0, // m/s
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reference_length: 1.0, // m
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use_gpu: true,
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device_id: 0,
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gpu_memory_pool_size: 1024 * 1024 * 1024, // 1 GB
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}
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}
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}
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impl CfdConfig {
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/// Create a new CFD configuration
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#[must_use]
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pub fn new() -> Self {
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Self::default()
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}
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/// Set fluid density
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#[must_use]
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pub fn with_density(mut self, density: f64) -> Self {
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self.density = density;
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self
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}
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/// Set fluid viscosity
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#[must_use]
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pub fn with_viscosity(mut self, viscosity: f64) -> Self {
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self.viscosity = viscosity;
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self
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}
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/// Set reference velocity for non-dimensionalization
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#[must_use]
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pub fn with_reference_velocity(mut self, velocity: f64) -> Self {
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self.reference_velocity = velocity;
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self
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}
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/// Set reference length for non-dimensionalization
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#[must_use]
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pub fn with_reference_length(mut self, length: f64) -> Self {
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self.reference_length = length;
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self
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}
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/// Enable or disable GPU acceleration
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#[must_use]
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pub fn with_gpu(mut self, use_gpu: bool) -> Self {
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self.use_gpu = use_gpu;
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self
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}
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/// Set CUDA device ID
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#[must_use]
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pub fn with_device_id(mut self, device_id: i32) -> Self {
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self.device_id = device_id;
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self
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}
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/// Set GPU memory pool size
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#[must_use]
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pub fn with_gpu_memory_pool_size(mut self, size: usize) -> Self {
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self.gpu_memory_pool_size = size;
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self
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}
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/// Calculate Reynolds number
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#[must_use]
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pub fn reynolds_number(&self) -> f64 {
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self.density * self.reference_velocity * self.reference_length / self.viscosity
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}
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/// Check if flow is laminar (Re < 2300 for pipe flow)
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#[must_use]
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pub fn is_laminar(&self) -> bool {
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self.reynolds_number() < 2300.0
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}
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/// Check if flow is turbulent (Re > 4000 for pipe flow)
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#[must_use]
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pub fn is_turbulent(&self) -> bool {
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self.reynolds_number() > 4000.0
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}
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/// Validate configuration parameters
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pub fn validate(&self) -> CfdResult<()> {
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if self.density <= 0.0 {
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return Err(CfdError::invalid_parameter("Density must be positive"));
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}
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if self.viscosity <= 0.0 {
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return Err(CfdError::invalid_parameter("Viscosity must be positive"));
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}
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if self.reference_velocity <= 0.0 {
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return Err(CfdError::invalid_parameter(
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"Reference velocity must be positive",
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));
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}
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if self.reference_length <= 0.0 {
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return Err(CfdError::invalid_parameter(
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"Reference length must be positive",
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));
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}
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if self.device_id < 0 {
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return Err(CfdError::invalid_parameter(
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"Device ID must be non-negative",
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));
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}
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if self.gpu_memory_pool_size == 0 {
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return Err(CfdError::invalid_parameter(
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"GPU memory pool size must be positive",
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));
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}
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Ok(())
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}
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}
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/// Initialize the CFD library with GPU support
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pub fn init() -> CfdResult<()> {
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tracing::info!("Initializing RTX CFD library");
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#[cfg(feature = "cuda")]
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{
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// Check for CUDA devices and initialize if available
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match initialize_cuda() {
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Ok(device_info) => {
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tracing::info!("CUDA initialized successfully: {}", device_info);
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}
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Err(e) => {
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tracing::warn!("CUDA initialization failed, falling back to CPU: {}", e);
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tracing::info!("Running in CPU-only mode");
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}
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}
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}
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#[cfg(not(feature = "cuda"))]
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{
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tracing::info!("Running in CPU-only mode");
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}
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Ok(())
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}
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#[cfg(feature = "cuda")]
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fn initialize_cuda() -> CfdResult<String> {
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use crate::kernels::CudaKernelManager;
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// Create a test configuration to check CUDA availability
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let test_config = CfdConfig::default().with_device_id(0);
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// Try to create a kernel manager to test CUDA initialization
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match CudaKernelManager::new(&test_config) {
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Ok(_manager) => Ok("CUDA device initialized successfully".to_string()),
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Err(e) => Err(CfdError::gpu_error(&format!(
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"Failed to initialize CUDA: {}",
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e
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))),
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}
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}
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/// Check if CUDA is available and working
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#[must_use]
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pub fn cuda_available() -> bool {
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#[cfg(feature = "cuda")]
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{
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initialize_cuda().is_ok()
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}
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#[cfg(not(feature = "cuda"))]
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{
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false
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}
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}
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/// Get CUDA device information if available
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pub fn cuda_device_info() -> CfdResult<CudaDeviceInfo> {
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#[cfg(feature = "cuda")]
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{
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let test_config = CfdConfig::default().with_device_id(0);
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let _manager = crate::kernels::CudaKernelManager::new(&test_config)?;
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Ok(CudaDeviceInfo {
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device_count: 1, // Simplified for now
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device_name: "CUDA Device".to_string(),
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memory_total: test_config.gpu_memory_pool_size,
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compute_capability: (7, 5), // Default assumption
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})
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}
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#[cfg(not(feature = "cuda"))]
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{
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Err(CfdError::not_implemented(
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"CUDA not available in this build",
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))
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}
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}
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/// CUDA device information
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#[derive(Debug, Clone)]
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pub struct CudaDeviceInfo {
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/// Number of CUDA devices
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pub device_count: usize,
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/// Device name
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pub device_name: String,
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/// Total GPU memory in bytes
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pub memory_total: usize,
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/// Compute capability (major, minor)
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pub compute_capability: (i32, i32),
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}
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/// Get library version information
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#[must_use]
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pub fn version() -> &'static str {
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env!("CARGO_PKG_VERSION")
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}
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/// Get build information
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#[must_use]
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pub fn build_info() -> BuildInfo {
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BuildInfo {
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version: version(),
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features: get_features(),
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cuda_support: cfg!(feature = "cuda"),
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rtx_integration: false, // cfg!(feature = "rtx-integration"),
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}
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}
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/// Build information structure
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#[derive(Debug, Clone)]
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pub struct BuildInfo {
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/// Library version
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pub version: &'static str,
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/// Enabled features
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pub features: Vec<&'static str>,
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/// CUDA support enabled
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pub cuda_support: bool,
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/// RTX integration enabled
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pub rtx_integration: bool,
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}
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fn get_features() -> Vec<&'static str> {
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let features = Vec::new();
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#[cfg(feature = "cuda")]
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features.push("cuda");
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// #[cfg(feature = "rtx-integration")]
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// features.push("rtx-integration");
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features
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}
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#[cfg(test)]
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mod tests {
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use super::*;
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#[test]
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fn test_cfd_config_default() {
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let config = CfdConfig::default();
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assert_eq!(config.density, 1.0);
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assert_eq!(config.viscosity, 1e-3);
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assert!(config.use_gpu);
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}
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#[test]
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fn test_cfd_config_builder() {
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let config = CfdConfig::new()
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.with_density(1000.0)
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.with_viscosity(1e-6)
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.with_reference_velocity(10.0)
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.with_gpu(false);
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assert_eq!(config.density, 1000.0);
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assert_eq!(config.viscosity, 1e-6);
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assert_eq!(config.reference_velocity, 10.0);
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assert!(!config.use_gpu);
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}
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#[test]
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fn test_reynolds_number() {
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let config = CfdConfig::new()
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.with_density(1.0)
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.with_viscosity(1e-3)
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.with_reference_velocity(1.0)
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.with_reference_length(1.0);
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assert_eq!(config.reynolds_number(), 1000.0);
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}
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#[test]
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fn test_flow_regime() {
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let laminar_config = CfdConfig::new()
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.with_density(1.0)
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.with_viscosity(1.0)
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.with_reference_velocity(1.0)
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.with_reference_length(1.0);
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assert!(laminar_config.is_laminar());
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let turbulent_config = CfdConfig::new()
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.with_density(1.0)
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.with_viscosity(1e-6)
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.with_reference_velocity(10.0)
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.with_reference_length(1.0);
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assert!(turbulent_config.is_turbulent());
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}
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#[test]
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fn test_config_validation() {
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let valid_config = CfdConfig::default();
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assert!(valid_config.validate().is_ok());
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let invalid_config = CfdConfig::default().with_density(-1.0);
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assert!(invalid_config.validate().is_err());
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}
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#[test]
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fn test_version() {
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assert!(!version().is_empty());
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}
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#[test]
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fn test_build_info() {
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let info = build_info();
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assert!(!info.version.is_empty());
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}
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}
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