Hybrid CPU/GPU Integral Engine for Strong-Scaling Ab Initio Methods

Kussmann, Jörg und Ochsenfeld, Christian (2017): Hybrid CPU/GPU Integral Engine for Strong-Scaling Ab Initio Methods. In: Journal of Chemical theory and Computation, Bd. 13, Nr. 7: S. 3153-3159

Abstract

We present a parallel integral algorithm for two electron contributions occurring in Hartree Fock and hybrid density functional theory that allows for a strong scaling parallelization on inhomogeneous compute clusters. With a particular focus on graphic processing units, we show that our approach allows an efficient use ofCPUs and graphics processing units (GPUs) simultaneously, although the different architectures demand conflictive strategies in order to ensure efficient program execution. Furthermore, we present a general strategy to use large basis sets like quadruple-zeta split valence on GPUs and investigate the balance between CPUs and GPUs depending on l-quantum numbers of the corresponding basis functions. Finally, we present first illustrative calculations using a hybrid CPU/GPU environment and demonstrate the strong-scaling performance of our parallelization strategy also for pure CPU -based calculations.

• Dokumententyp: Zeitschriftenartikel
• Fakultät: Chemie und Pharmazie > Department Chemie
• Fakultätsübergreifende Einrichtungen: Center for Integrated Protein Science Munich (CIPSM)
• Themengebiete: 500 Naturwissenschaften und Mathematik > 540 Chemie
• ISSN: 1549-9618
• Sprache: Englisch