AnySparse

A streamlined, directly compilable port of clSPARSE with a focus on simplicity and broad OpenCL device support. This project, maintained by Prof. Jinchuan Tang (jctang@gzu.edu.cn), is a derivative of the original clSPARSE library. Its primary goal is to eliminate the complexities of the original build system, offering a straightforward "clone and compile" experience. The library supports any OpenCL 1.2+ capable device and is designed for users who need sparse linear algebra operations without the overhead of managing complex build dependencies.

Features

Sparse BLAS Level 1: Operations like axpy, dot, norms.
Sparse BLAS Level 2: Sparse Matrix-Vector multiplication (SpMV).
Sparse BLAS Level 3: Sparse Matrix-Matrix multiplication (SpMM).
Formats: Conversion between CSR, COO, ELL, and other sparse storage formats.
Solvers: Triangular solvers (SpTrSV, SpTrSM).
Preconditioners: Basic preconditioners like diagonal scaling.
Robust support for single-precision
Planned SpMM double-precision
Iterative CG and BiCGStab

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