Performance of heterogeneous computing with graphics processing unit and many integrated core for hartree potential calculations on a numerical grid.
J Comput Chem
; 37(24): 2193-201, 2016 09 15.
Article
in En
| MEDLINE
| ID: mdl-27431905
ABSTRACT
We investigated the performance of heterogeneous computing with graphics processing units (GPUs) and many integrated core (MIC) with 20 CPU cores (20×CPU). As a practical example toward large scale electronic structure calculations using grid-based methods, we evaluated the Hartree potentials of silver nanoparticles with various sizes (3.1, 3.7, 4.9, 6.1, and 6.9 nm) via a direct integral method supported by the sinc basis set. The so-called work stealing scheduler was used for efficient heterogeneous computing via the balanced dynamic distribution of workloads between all processors on a given architecture without any prior information on their individual performances. 20×CPU + 1GPU was up to â¼1.5 and â¼3.1 times faster than 1GPU and 20×CPU, respectively. 20×CPU + 2GPU was â¼4.3 times faster than 20×CPU. The performance enhancement by CPU + MIC was considerably lower than expected because of the large initialization overhead of MIC, although its theoretical performance is similar with that of CPU + GPU. © 2016 Wiley Periodicals, Inc.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Language:
En
Journal:
J Comput Chem
Journal subject:
QUIMICA
Year:
2016
Type:
Article