The innovative architecture of GPUs has been exploited to the end of implementing an efficient version of the time independent quantum reactive scattering ABC code. The intensive usage of the code as a computational engine for several molecular calculations and crossed beams experiment simulations has prompted a detailed analysis of the utilization of the innovative features of the GPU architecture. ABC has shown to rely on a heavy usage of blocks of recursive sequences of linear algebra matrix operations whose performances vary significantly with the input and the section of the code. This has requested the evaluation of the suitability of different implementation strategies for the various parts of ABC. The outcomes of the related test runs are discussed in the paper.

A parallel code for time independent quantum reactive scattering on CPU-GPU platforms

Baraglia R;
2011

Abstract

The innovative architecture of GPUs has been exploited to the end of implementing an efficient version of the time independent quantum reactive scattering ABC code. The intensive usage of the code as a computational engine for several molecular calculations and crossed beams experiment simulations has prompted a detailed analysis of the utilization of the innovative features of the GPU architecture. ABC has shown to rely on a heavy usage of blocks of recursive sequences of linear algebra matrix operations whose performances vary significantly with the input and the section of the code. This has requested the evaluation of the suitability of different implementation strategies for the various parts of ABC. The outcomes of the related test runs are discussed in the paper.
2011
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Inglese
Beniamino Murgante, Osvaldo Gervasi, Andrés Iglesias, David Taniar, Bernady O. Apduhan
Computational Science and its Applications, ICCSA 2011
412
427
978-3-642-21930-6
http://www.springerlink.com/content/038677661upw3ju6/
June 20-23 2011
University of Cantabria, Santander, Spain
GPGPU
ID Modulo Commessa ICT.P09.006.001 - 074 - Tecnologie avanzate, Sistemi e Servizi per Grid. - Area di valutazione 01 - Scienze matematiche e informatiche Baraglia Ranieri, Bravi Malko ; Capannini, Gabriele ; Laganà, Antonio Zambonini, Edoardo
6
restricted
Baraglia, R; Bravi, M; Capannini, G; Laganà, A; Zambonini, ; E,
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/18950
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