Crate oxicuda_sparse 

OxiCUDA Sparse – GPU-Accelerated Sparse Matrix Operations

This crate provides GPU-accelerated sparse matrix operations, serving as a pure Rust equivalent to NVIDIA’s cuSPARSE library.

Sparse formats

Multiple storage formats are supported via the format module:

• CsrMatrix – Compressed Sparse Row (primary format)
• CscMatrix – Compressed Sparse Column
• CooMatrix – Coordinate (triplet)
• BsrMatrix – Block Sparse Row
• EllMatrix – ELLPACK
• HybMatrix – HYB (Hybrid ELL+COO)

Operations

• ops::spmv – Sparse matrix-vector multiply (y = alpha*A*x + beta*y)
• ops::spmm – Sparse-dense matrix multiply (C = alpha*A*B + beta*C)
• ops::spgemm – Sparse-sparse matrix multiply (C = A*B)
• ops::sptrsv – Sparse triangular solve (L*x = b or U*x = b)
• ops::sddmm – Sampled Dense-Dense Matrix Multiply

Preconditioners

• preconditioner::ilu0 – Incomplete LU(0) for general systems
• preconditioner::ic0 – Incomplete Cholesky(0) for SPD systems

Example

use oxicuda_sparse::prelude::*;

Re-exports

pub use error::SparseError;

pub use error::SparseResult;

pub use format::BsrMatrix;

pub use format::CooMatrix;

pub use format::CscMatrix;

pub use format::Csr5Matrix;

pub use format::CsrMatrix;

pub use format::EllMatrix;

pub use format::HybMatrix;

pub use format::HybPartition;

pub use format::HybStatistics;

pub use handle::SparseHandle;

Modules

error

Error types for OxiCUDA Sparse operations.

format

Sparse matrix storage formats.

handle

Sparse handle management.

ops

Sparse matrix operations.

preconditioner

Incomplete factorization preconditioners for iterative solvers.

prelude

Prelude for convenient imports.