The static parallel distribution algorithms for hybrid density-functional calculations in HONPAS package. (March 2020)

• Record Type: Journal Article
• Authors: Qin, Xinming; Shang, Honghui; Xu, Lei; Hu, Wei; Yang, Jinlong; Li, Shigang; Zhang, Yunquan
• Other Names: Wang Jue guest-editor.; He XinFu guest-editor.
• Is Part Of: International journal of high performance computing applications. Volume 34:Number 2(2020)
• Page Start: 159
• Page End: 168
• Publication Date: 2020-03
• Subjects: Distributed algorithms -- hybrid density-functional calculations -- HONPAS package -- electron repulsion integrals -- parallel implementation; High performance computing -- Periodicals; Supercomputers -- Periodicals; 004.1105
• DOI: 10.1177/1094342019845046
• Languages: English
• ISSNs: 1094-3420

Abstract

Hybrid density-functional calculation is one of the most commonly adopted electronic structure theories in computational chemistry and materials science because of its balance between accuracy and computational cost. Recently, we have developed a novel scheme called NAO2GTO to achieve linear scaling (Order-N) calculations for hybrid density-functionals. In our scheme, the most time-consuming step is the calculation of the electron repulsion integrals (ERIs) part, so creating an even distribution of these ERIs in parallel implementation is an issue of particular importance. Here, we present two static scalable distributed algorithms for the ERIs computation. Firstly, the ERIs are distributed over ERIs shell pairs. Secondly, the ERIs are distributed over ERIs shell quartets. In both algorithms, the calculation of ERIs is independent of each other, so the communication time is minimized. We show our speedup results to demonstrate the performance of these static parallel distributed algorithms in the Hefei Order-N packages for ab initio simulations.