Bioinformatic suite for high-performance computing job scheduling and system management

Abstract

The invention discloses a bioinformatic suite for high-performance computing job scheduling and system management. The suite can decrease the occurrence of application software malfunction caused by system halt due to excessively high load on computational nodes, and is convenient to use. The suite comprises a user job scheduling policy module, a high-performance computing system management module, a normal user operation module and a web-page user management platform module, wherein the user job scheduling policy module is used for analyzing jobs submitted to a high-performance clustering system by a user according to a preset policy, determining computing nodes meeting the demands of job operation, determining a computing node with the lowest occupied amount of coreness in the computing nodes, and notifying the high-performance clustering system to allocate the jobs to the computing node with the lowest occupied amount of coreness; the high-performance computing system management module is used for conducting centralized management on a distributed computing system; the normal user operation module is used for achieving job submission of normal users; the web-page user management platform module is used for achieving users' operation on the high-performance clustering system through web pages.

Description

technical field [0001] The invention relates to the field of biological information, in particular to a bioinformatics high-performance computing job scheduling and system management suite. Background technique [0002] In the use of traditional high-performance computing cluster systems (such as toruqe+maui or sge), compared with other disciplines, bioinformatics and most application software are open source, with a wide variety and chaotic structure, so users often appear in the calculation process. The phenomenon that the computing node load is too high and the crash causes the application software to fail to run normally. And because most users who are scientific researchers focus on their professional projects and do not have strong computer expertise, users need to spend too much time learning how to use the system when using the traditional job scheduling system. Contents of the invention [0003] Aiming at the deficiencies and defects of the prior art, the present...

AI Technical Summary

Problems solved by technology

[0002] In the use of traditional high-performance computing cluster systems (such as toruqe+maui or sge), compared with other disciplines, bioinformatics and most application software are open source, with a wide variety and chaotic structure, so users often appear in the calculation process. The phenomenon that the computing node load is too high and the crash causes the application software to fail to run normally

Moreover, since most users who are scientific researchers focus on their professional projects and do not have strong computer expertise, users need to spend too much time learning how to use the traditional job scheduling system.

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