Abstract
Heterogeneous computing involves the combined use of processing elements with different architectures and is widely considered a prerequisite in the quest for higher performance and lower power consumption. To support this trend, the OpenMP standard has been recently augmented with directives that target systems consisting of general-purpose hosts and accelerator devices that may execute portion of a unified application code. In this work we present the first implementation of the OpenMP 4.0 accelerator directives for the Parallella board, a very popular credit-card sized multicore system consisting of a dualcore ARM host processor and a distinct 16-core Epiphany co-processor. We discuss in detail the necessary compiler and runtime infrastructures of our prototype, both for the host and the co-processor sides.
Cite
CITATION STYLE
Agathos, S. N., Papadogiannakis, A., & Dimakopoulos, V. V. (2015). Targeting the parallella. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9233, pp. 662–674). Springer Verlag. https://doi.org/10.1007/978-3-662-48096-0_51
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