Creating a Math Library Project

Procedure

1. Click in the shortcut menu bar on the left pane or click next to Development Assistant. The Kunpeng Application Projects page is displayed. See Figure 1.
   Figure 1 Kunpeng Application Projects
   
2. Click HPC Application. On the displayed HPC Application page, select Template project for the Project Type, and select KML_MATH for the Sample Project. Click Create to create a math library project.
   Figure 2 Creating a math library project
   

   Table 1 Parameters for creating an HPC project

   Parameter	Description
   Project Type	The options are: Empty project Template project
   Sample Project	The options are: Hyper MPI Hyper MPI Math Library KML_MATH KML_LAPACK KML_BLAS KML_SPBLAS KML_FFT
   Project Name	The default project name is xxx_ProjectN, which can be modified as required. Name of the project to be created. NOTE: N is an integer starting from 1 in ascending order. The project name can contain 1 to 64 characters, including only letters, digits, periods (.), hyphens (-), plus signs (+), parentheses (), and underscores (_). It cannot start with a period (.).
   Project Location	The default project location is C:\Users\username\KunpengProject, which can be modified as required. Storage path of the project to be created.

   Table 2 Math library types

   Math Library Type	Description
   KML_MATH	KML_MATH is a basic library for mathematical operations. It mainly implements basic mathematical operations and trigonometric, hyperbolic, exponential, and logarithmic functions. It is widely used for scientific calculations in industries such as meteorology, manufacturing, and chemistry.
   KML_LAPACK	KML_LAPACK is a library for linear algebra operations. It provides routines for solving systems of linear equations, eigenvalue problems, and singular value problems.
   KML_BLAS	KML_BLAS is a basic linear algebra operation library. Based on the Kunpeng architecture, KML_BLAS provides three levels of high-performance vector operations: vector-vector operation, vector-matrix operation, and matrix-matrix operation. It is the base of numerical calculation, and is widely used in fields such as manufacturing, machine learning, and big data.
   KML_SPBLAS	KML_SPBLAS is a basic linear algebra operation library of sparse matrices. It provides high-performance vector and matrix operations for sparse matrices in compressed format based on the Kunpeng architecture.
   KML_FFT	KML_FFT is a math library of fast Fourier transform (FFT). It is the fast computing methods of discrete Fourier transform (DFT) and inverse discrete Fourier transform (IDFT), and is widely used in the fields of engineering, science, and mathematics.

   

   If you have not downloaded the SDK, click here to download.

3. After the math library project is created, click Open Project to open it in the current window.
   Figure 3 Opening a project
   
   Figure 4 Viewing the math library project
   
   

   If a project folder or file is added, deleted, modified, or renamed, you can synchronize the change to the remote server. For details, see Synchronizing Code to a Remote Server.

   If you want to compile and run the project demo in the Compiler and Debugger, add a user-defined environment command in the working directory text box, for example, source /opt/gcc_for_openeuler_profile.