An optimization framework for adjoint-based climate simulations: A case study of the Zebiak-Cane model. (May 2014)

• Record Type: Journal Article
• Authors: Yuan, Shijin; Wen, Shicheng; Li, Hongyu; Zhang, Xinfeng; Liu, Qin
• Is Part Of: International journal of high performance computing applications. Volume 28:Number 2(2014:Summer)
• Page Start: 174
• Page End: 182
• Publication Date: 2014-05
• Subjects: Adaptive -- data stack -- parallelizing -- ZC model -- adjoint; High performance computing -- Periodicals; Supercomputers -- Periodicals; 004.1105
• DOI: 10.1177/1094342013495096
• Languages: English
• ISSNs: 1094-3420

Abstract

Conventional adjoint-based climate simulations are generally time-consuming because they require the frequent reading of historical data from hard disks, adopt a calculate-all implementation strategy, and work in a serial way. To improve the computational efficiency of these simulations, this paper proposes a framework with a series of optimizations, including an I/O optimization, several implementation improvements, and two parallelizing schemes. To demonstrate the feasibility and performance of the proposed framework, a Zebiak-Cane (ZC) case model is studied and presented in this paper. Experimental results show that the proposed framework can greatly improve the computational efficiency of climate simulations.