Universal installation method for VASP software in different supercomputing clusters
An installation method and cluster technology, applied in software deployment, software maintenance/management, energy-saving computing, etc., can solve problems such as cumbersome, complex and changeable software environments, and achieve the effects of saving deployment time, wide application prospects, and simplifying installation and compilation
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Embodiment 1
[0058] Such as figure 1 As shown, the present invention provides a general installation method for realizing VASP software in different supercomputing clusters, comprising the following steps:
[0059]S1. Check the hardware architecture of the supercomputing cluster, search for the CPU processor type and version, judge whether the GPU device can be searched, and feed back the searched hardware architecture information to the front-end user;
[0060] S2. Detect the software environment of the supercomputing cluster, search for the compilers, math libraries and MPI parallel software installed in the current supercomputing cluster, and record their respective installation paths;
[0061] S3. Configure the compiler, compile the installed MPI parallel software through the compiler, then select the math library to compile according to the compiler, and add the compiled math library path;
[0062] S4. Configure the third-party function library and Wannier function tools through the ...
Embodiment 2
[0065] Such as figure 2 As shown, the present invention provides a general installation method for realizing VASP software in different supercomputing clusters, comprising the following steps:
[0066] S1. Check the hardware architecture of the supercomputing cluster, search for the CPU processor type and version, judge whether the GPU device can be searched, and feed back the searched hardware architecture information to the front-end user; the specific steps are as follows:
[0067] S11. Automatically search for CPU processor type and version; the CPU processor type includes Intel series and AMD series;
[0068] S12. Automatically search and determine whether the GPU device information of the supercomputing cluster can be searched, including the number of GPU graphics cards and the computing power of each graphics card; the GPU processor type is Nvidia series;
[0069] S13. Feedback the searched hardware architecture information to the front-end user;
[0070] S2. Detect ...
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