This topic describes the terms that are used in Elastic High Performance Computing (E-HPC).
The following table lists the terms that are used in E-HPC.
A cluster is a set of nodes capable of high-performance computing. Compared with a single node, it provides high performance, auto scaling, high stability, and high reliability. A cluster contains resources such as an elastic IP address, a scheduler, cluster nodes, domain accounts, cluster users, and runtime software.
A cluster contains management nodes, compute nodes, and a logon node. Each node is an ECS instance.
An image provides the information that all cluster nodes require. The information includes the operating system, pre-installed software, and deployed business or application data of a cluster.
A user is used to indicate your identity when you submit jobs in a cluster. E-HPC provides the following permissions for users:
A job is the basis of E-HPC. A job consists of a shell script and executable file. Before you perform high-performance computing, you must submit a job in the E-HPC console.
A scheduler is used to schedule jobs.
E-HPC supports NIS and LDAP.
After you create a visualization service, you can remotely log on to the cloud desktop or app of Elastic High Performance Computing (E-HPC) by using the E-HPC console. This way, you can implement high-performance computing in a graphical manner.
HPC container application
HPC container applications allow you to improve job efficiency by using powerful E-HPC clusters and conveniently deployed containers.
E-HPC provides the auto scaling feature that can dynamically allocate compute nodes based on the configured auto scaling policy. The system can automatically add or remove compute nodes based on real-time loads. This way, you can save resources and costs.