Resumen
A distributed-memory parallelization strategy for the density matrix renormalization group is proposed for cases where correlation functions are required. This new strategy has substantial improvements with respect to previous works. A scalability analysis shows an overall serial fraction of 9.4% and an efficiency of around 60% considering up to eight nodes. Sources of possible parallel slowdown are pointed out and solutions to circumvent these issues are brought forward in order to achieve a better performance.
Idioma original | Inglés estadounidense |
---|---|
Páginas (desde-hasta) | 1346-1351 |
Número de páginas | 6 |
Publicación | Computer Physics Communications |
Volumen | 181 |
N.º | 8 |
DOI | |
Estado | Publicada - ago. 2010 |
Publicado de forma externa | Sí |
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