Journal Article

FZJ-2018-03126

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Portable multi-node LQCD Monte Carlo simulations using OpenACC

Bonati, C. ; Calore, E. ; D’Elia, M. ; Mesiti, M. ; Negro, F. ; Sanfilippo, F. ; Schifano, S. F. ; Silvi, G. (Corresponding author)FZJ* ; Tripiccione, R.

2018
World Scientific Singapore [u.a.]

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Please use a persistent id in citations: http://hdl.handle.net/2128/18722  doi:10.1142/S0129183118500109

Abstract: This paper describes a state-of-the-art parallel Lattice QCD Monte Carlo code for staggered fermions, purposely designed to be portable across different computer architectures, including GPUs and commodity CPUs. Portability is achieved using the OpenACC parallel programming model, used to develop a code that can be compiled for several processor architectures. The paper focuses on parallelization on multiple computing nodes using OpenACC to manage parallelism within the node, and OpenMPI to manage parallelism among the nodes. We first discuss the available strategies to be adopted to maximize performances, we then describe selected relevant details of the code, and finally measure the level of performance and scaling-performance that we are able to achieve. The work focuses mainly on GPUs, which offer a significantly high level of performances for this application, but also compares with results measured on other processors.

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Contributing Institute(s):

1. Jülich Supercomputing Center (JSC)

Research Program(s):

1. 511 - Computational Science and Mathematical Methods (POF3-511) (POF3-511)
2. PhD no Grant - Doktorand ohne besondere Förderung (PHD-NO-GRANT-20170405) (PHD-NO-GRANT-20170405)

Appears in the scientific report 2018

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Database coverage:
; ; Current Contents - Physical, Chemical and Earth Sciences ; Ebsco Academic Search ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index ; Science Citation Index Expanded ; Thomson Reuters Master Journal List ; Web of Science Core Collection

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