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 # vectorBlas
 
 #### Description
-A high performance Blas Library Based on JDK vector API
+- 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
-Software architecture description
+- 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
 
-1.  xxxx
-2.  xxxx
-3.  xxxx
+dependencies:
+- JDK 16+
+- Maven
 
-#### Instructions
-
-1.  xxxx
-2.  xxxx
-3.  xxxx
+Compile command:  
+`mvn clean package`
 
 #### Contribution