Abstract
At present, the utilization of workstation, storage, and server in an IC design house is not frequent, even the EDA license isn’t, either. If these various resources on the intranet can be integrated and effectively operated, the working efficiency will be enhanced. Therefore, how to manage these critical resources on the network is a major task to enhance the competition of an IC design house.In this research, the Grid Engine structuring a model of resource distribution can integrate the resources on the intranet to build a set of system and rule about resource distribution. Taken the IC design house as an example, a user can use the technology of the Sun Grid Engine for load sharing, batch scheduling, as well as integration of resources of software/hardware on the intranet like a single workstation. Therefore, the working efficiency will be enhanced under limited resources because of complete utilization of system resources. The results of research provides a set of model and structure for management of system resources to integrate resources on the intranet in an IC design house. A resource distribution model can be established by the system and rule of resource distribution. According to the adequate management of computing resources as well as scheduling, the corresponding hardware and software can provide the computing service. Ultimately, the efficiency in software utilization increases twice and efficiency in hardware utilization increase. Besides, the purchase package expense can be reduced.
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Acknowledgement
This work of Ruey-shun Chen was supported by the Scientific Research Fund of Dongguan Polytechnic (No. 2019a03). The work of W.L Cao was supported by the key science research platforms and programs of Guangdong Universities (No. 2019GKTSCX142 and No. 2019GKTSCX143).
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Liu, H., Chen, Rs., Lee, CY. et al. Using Grid computing architecture in computing resource allocating of IC design. J Ambient Intell Human Comput (2020). https://doi.org/10.1007/s12652-020-02246-x
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DOI: https://doi.org/10.1007/s12652-020-02246-x