Abstract
Recently, multicore technology has been introduced to embedded systems in order to improve performance and reduce power consumption. In the present study, three SMP multicore processors for embedded systems and a multicore processor for a desktop PC are evaluated by the parallel benchmark using OpenMP. The results indicate that, even if the memory performance is low, applications that are not memory-intensive exhibit large speedups by parallelization. The results also indicate a large performance improvement due to parallelization using OpenMP, despite its low cost. © 2009 Springer.
Cite
CITATION STYLE
Hanawa, T., Sato, M., Lee, J., Imada, T., Kimura, H., & Boku, T. (2009). Evaluation of multicore processors for embedded systems by parallel benchmark program using OpenMP. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5568 LNCS, pp. 15–27). https://doi.org/10.1007/978-3-642-02303-3_2
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