The Performance Analysis of the Thermal Discrete Element Method Computations on the GPU

Autor:	Ruslan Pacevič, Arnas Kačeniauskas
Jazyk:	angličtina
Rok vydání:	2022
Předmět:	OpenCL 70-04 GPGPU computing bonded particle model 65Y05 General Engineering 68W10 performance analysis thermal discrete element method
Zdroj:	COMPUTING AND INFORMATICS; Vol. 41 No. 4 (2022): Computing and Informatics; 931–956
ISSN:	1335-9150 2585-8807
Popis:	The paper presents a GPU implementation of the thermal discrete element method (TDEM) and the comparative analysis of its performance. Several discrete element models for granular flows, the bonded particle model and the TDEM are considered for quantitative comparison of computational performance. The performance measured on NVIDIA(R) Tesla™ P100 GPU is compared with that attained by running the same OpenCL code on Intel(R) Xeon™ E5-2630 CPU with 20 cores. The presented GPU implementation of the TDEM increases the computing time of the bonded particle model only up to 30.6 % of the computing time of the simplest DEM model, which is an acceptable decrease in the performance required for solving coupled thermomechanical problems.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6b9fc95d3355a811e6d0b1ac48e9570 https://www.cai.sk/ojs/index.php/cai/article/view/2022_4_931 Zobrazit plný text záznamu