DocumentCode :
2028004
Title :
Enabling a Quantum Monte Carlo application for the DEEP architecture
Author :
Emerson, Andrew ; Affinito, Fabio
Author_Institution :
Supercomput. Applic. & Innovation (SCAI), Cineca, Casalecchio di Reno, Italy
fYear :
2015
fDate :
20-24 July 2015
Firstpage :
453
Lastpage :
457
Abstract :
In the DEEP project a prototype Exascale system consisting of a standard Intel Xeon cluster linked to a “Booster” part containing Intel Xeon Phi nodes connected in a high-speed network, is being designed and constructed. In order to evaluate this novel architecture, expected to be available in the second half of 2015, a number of grand challenge applications in computational science and engineering are being modified and optimised. In this study we report on the efforts made by the Cineca project partner and DEEP support staff to enable one of these applications, the TurboRVB Quantum Monte Carlo simulation program, which can be used to study complex phenomena in materials such as superconductivity. The modified code, based on an implementation of the OmpSs offload task model, has been successfully tested on the MareNostrum supercomputer at the Barcelona Supercomputing Center.
Keywords :
Monte Carlo methods; parallel machines; quantum computing; Barcelona Supercomputing Center; Cineca project; DEEP architecture; Exascale system; Intel Xeon Phi nodes; Intel Xeon cluster; MareNostrum supercomputer; OmpSs offload task model; TurboRVB Quantum Monte Carlo simulation program; high-speed network; Computer architecture; Lattices; Microwave integrated circuits; Monte Carlo methods; Programming; Prototypes; Software; Exascale Systems; Modeling and Simulation using HPC Systems; Parallelization of Simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
High Performance Computing & Simulation (HPCS), 2015 International Conference on
Conference_Location :
Amsterdam
Print_ISBN :
978-1-4673-7812-3
Type :
conf
DOI :
10.1109/HPCSim.2015.7237075
Filename :
7237075
Link To Document :
بازگشت