README.en.md · wenweijian/vectorBlas

# vectorBlas

#### Description
- vectorBLAS: A high performance Blas Library Based on JDK vectorAPI.  
- [BLAS](https://www.netlib.org/blas/index.html): Basic Linear Algebra Subprograms，which provides common linear algebra operations, such as vector addition, scalar multiplication, dot product, linear combination, and matrix multiplication, etc.
- [VectorAPI](https://openjdk.org/jeps/338): A vectorized interface supported from JDK16+, which supports vectorized instructions on multiple platforms, allowing users to precisely control and utilize the SIMD (Single Instruction Multiple Data) capabilities in modern CPUs.

#### Software Architecture
- vectorBlas is a Java implementation of BLAS, so its interface parameters are consistent with the BLAS specification;
- vectorBlas currently consists of three parts: Level1, Level2, and Level3
  - Level1: scalar-scalar
  - Level2: scalar-vector
  - Level3: vector-vector
- Currently supported data types：
  - double
  - float
- For each function interface, vectorBlas has two methods: vectorAPI implementation and common implementation. For those can do SIMD operation (such as incx=1), we use VectorAPI to implement vectorization. For the rest we implement it with non-vectorization methond.
- Main optimization methods: VectorAPI vectorization, loop unrolling, matrix partitioning, Packing, etc.;

#### Installation

dependencies:
- JDK 16+
- Maven

Compile command:  
`mvn clean package`

#### Contribution

1.  Fork the repository
2.  Create Feat_xxx branch
3.  Commit your code
4.  Create Pull Request

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