Abstract: A high-performance computing-oriented method for automatically deploying an execution environment along with a job, including: presetting isolated execution environments at nodes of a high-performance computing system; logging in an isolated execution environment of a login node; carrying out development and debugging on the job and configuration on a job execution environment at the login node, and issuing a job running request to a job management system; assigning compute nodes from the nodes of the high-performance computing system to the job of the user by the job management system, automatically deploying an file system of the user synchronously to the assigned compute nodes along with the job when the job is loaded, and running the job of the user by the corresponding compute nodes; and feeding results back to the login node of the user after running the job is completed, then clearing file systems.

Abstract: A method for evaluating theoretical potential of wind energy includes steps of: (1) selecting a target area for estimation of theoretical reserves of wind energy, and extracting a coordinate range of the target area; (2) presetting a spatial height of the target area d in step (1); (3) obtaining meteorological data of a wind speed and an air density of the target area in step (2); (4) according to the meteorological data obtained in step (3), calculating a theoretical wind reserves per unit area of the target area; (5) calculating an area size of the target area; (6) according to the meteorological data of the wind speed and the air density obtained in step (3), the spatial height of the target area obtained in step (2), and the area size of the target area obtained in step (5), calculating to obtain regional theoretical reserves of wind.

Abstract: A theoretical reserve evaluation method for ocean current energy includes steps of: 1) selecting a target region, and extracting a coordinate range of the target region; 2) obtaining a seabed water depth of the target region; 3) obtaining hydrological data of flow velocities and seawater densities of a target region space; 4) calculating a theoretical reserve of the ocean current energy per unit area of the target region according to the hydrological data, 5) calculating an area of the target region; and 6) calculating the theoretical reserves of the ocean current energy within a spatial range of the target region according to the hydrological data of the flow velocities and the seawater densities obtained in the step 3), the seabed water depth of the target region obtained in the step 2), and the area of the target region obtained in the step 5).

Abstract: A method and system for constructing a lightweight container-based user environment (CUE), and a medium, the method including: preparing, by a main process, for communication, cloning a child process, and then becoming a parent process; elevating, by the child process, permission, executing namespace isolation, and cloning a grandchild process, and setting, by the parent process, cgroups for the grandchild process; and setting, by the grandchild process, permission of the grandchild process to execute a command and a file, preparing an overlay file system, setting a hostname, restricting permission, and executing an initialization script to start the container. Multiple users are allowed to customize their own environments, enabling the users to customize their environments more flexibly, achieving privacy isolation, and making it easier and more secure to update a system. Therefore, it is particularly applicable to a high-performance computing cluster.

Abstract: A high-performance computing-oriented method for automatically deploying an execution environment along with a job, including: presetting isolated execution environments at nodes of a high-performance computing system; logging in an isolated execution environment of a login node; carrying out development and debugging on the job and configuration on a job execution environment at the login node, and issuing a job running request to a job management system; assigning compute nodes from the nodes of the high-performance computing system to the job of the user by the job management system, automatically deploying an file system of the user synchronously to the assigned compute nodes along with the job when the job is loaded, and running the job of the user by the corresponding compute nodes; and feeding results back to the login node of the user after running the job is completed, then clearing file systems.

Abstract: A method and system for constructing a lightweight container-based user environment (CUE), and a medium, the method including: preparing, by a main process, for communication, cloning a child process, and then becoming a parent process; elevating, by the child process, permission, executing namespace isolation, and cloning a grandchild process, and setting, by the parent process, cgroups for the grandchild process; and setting, by the grandchild process, permission of the grandchild process to execute a command and a file, preparing an overlay file system, setting a hostname, restricting permission, and executing an initialization script to start the container. Multiple users are allowed to customize their own environments, enabling the users to customize their environments more flexibly, achieving privacy isolation, and making it easier and more secure to update a system. Therefore, it is particularly applicable to a high-performance computing cluster.