Anzeige
Erschienen in:
2012 | OriginalPaper | Buchkapitel
Exploiting Both Pipelining and Data Parallelism with SIMD Reconfigurable Architecture
verfasst von : Yongjoo Kim, Jongeun Lee, Jinyong Lee, Toan X. Mai, Ingoo Heo, Yunheung Paek
Erschienen in: Reconfigurable Computing: Architectures, Tools and Applications
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Reconfigurable Architecture (RA), which provides extremely high energy efficiency for certain domains of applications, have one problem that current mapping algorithms for it do not scale well with the number of cores. One approach to this problem is using SIMD (Single Instruction Multiple Data) paradigm. However, SIMD can complicate the mapping problem by adding an additional dimension, i.e.,
iteration mapping
, to the already inter-dependent problems of data mapping and operation mapping, and can significantly affect performance through memory bank conflicts. In this paper we introduce
SIMD reconfigurable architecture
, which allows for SIMD mapping at multiple levels of granularity, and investigate ways to minimize bank conflicts in a SIMD reconfigurable architecture with the related sub-problems taken into consideration. We further present
data tiling
and evaluate a conflict-free scheduling algorithm as a way to eliminate bank conflicts for a certain class of iteration and data mapping.