Abstrakti
We present an implementation of parallel GPU-accelerated GPAW, a density-functional theory (DFT) code based on grid based projector-augmented wave method. GPAW is suitable for large scale electronic structure calculations and capable of scaling to thousands of cores. We have accelerated the most computationally intensive components of the program with CUDA. We will provide performance and scaling analysis of our multi-GPU-accelerated code staring from small systems up to systems with thousands of atoms running on GPU clusters. We have achieved up to 15 times speed-ups on large systems.
Alkuperäiskieli | Englanti |
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Otsikko | Applied Parallel and Scientific Computing - 11th International Conference, PARA 2012, Revised Selected Papers |
Sivut | 63-76 |
Sivumäärä | 14 |
Vuosikerta | 7782 LNCS |
DOI - pysyväislinkit | |
Tila | Julkaistu - 2013 |
OKM-julkaisutyyppi | A4 Artikkeli konferenssijulkaisussa |
Tapahtuma | International Conference on Applied Parallel and Scientific Computing - Helsinki, Suomi Kesto: 10 kesäk. 2012 → 13 kesäk. 2012 Konferenssinumero: 11 |
Julkaisusarja
Nimi | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Vuosikerta | 7782 LNCS |
ISSN (painettu) | 03029743 |
ISSN (elektroninen) | 16113349 |
Conference
Conference | International Conference on Applied Parallel and Scientific Computing |
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Lyhennettä | PARA |
Maa/Alue | Suomi |
Kaupunki | Helsinki |
Ajanjakso | 10/06/2012 → 13/06/2012 |