Document Type
Article
Publication Date
11-2015
DOI
10.1021/acs.jctc.5b00713
Publication Title
Journal of Chemical Theory and Computation
Volume
11
Issue
11
Pages
5055-5061
Abstract
The computational efficiency and energy-to-solution of several applications using the GAMESS quantum chemistry suite of codes is evaluated for 32-bit and 64-bit ARM-based computers, and compared to an x86 machine. The x86 system completes all benchmark computations more quickly than either ARM system and is the best choice to minimize time to solution. The ARM64 and ARM32 computational performances are similar to each other for Hartree-Fock and density functional theory energy calculations. However, for memory-intensive second-order perturbation theory energy and gradient computations the lower ARM32 read/write memory bandwidth results in computation times as much as 86% longer than on the ARM164 systern. The ARM32 system is more energy efficient than the x86 and ARM64 CPUs for all benchmarked methods, while the ARM64 CPU is more energy efficient than the x86 CPU for some core counts and molecular sizes.
Original Publication Citation
Keipert, K., Mitra, G., Sunriyal, V., Leang, S. S., Sosonkina, M., Rendell, A. P., & Gordon, M. S. (2015). Energy-efficient computational chemistry: Comparison of x86 and ARM systems. Journal of Chemical Theory and Computation, 11(11), 5055-5061. doi:10.1021/acs.jctc.5b00713
Repository Citation
Keipert, Kristopher; Mitra, Gaurav; Sunriyal, Vaibhav; Leang, Sarom S.; Sosonkina, Masha; Rendell, Alistair P.; and Gordon, Mark S., "Energy-Efficient Computational Chemistry: Comparison of x86 and ARM Systems" (2015). Computational Modeling & Simulation Engineering Faculty Publications. 23.
https://digitalcommons.odu.edu/msve_fac_pubs/23
Included in
Atomic, Molecular and Optical Physics Commons, Computer Engineering Commons, Physical Chemistry Commons
Comments
Web of Science: "Free full-textfrom publisher."