Abstract
OpenMP 4.0 represents a major upgrade in the language specifications of the standard. Important constructs for the exploitation of simd parallelism, the support for dependencies among tasks and the ability to cancel the operations of a team of threads have been added. What is arguably the most important addition, however, is the introduction of the device model. A variety of computational units, such as gpus, dsps and general or special purpose accelerators are viewed as attached devices, where portion of a unified application code can be offloaded for execution. In this work we present the infrastructure for device support in the ompi research compiler, one of the few compilers that currently implement the new device directives. We discuss the necessary compiler transformations and the general runtime organization. For the first time, special emphasis is placed on the important problem of data environment handling. In addition, we present a prototype implementation on the popular Parallella board which exploits the dual-core arm host processor and the 16-core Epiphany accelerator of the system.
S.N. Agathos is supported by the Greek State Scholarships Foundation (IKY).
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Notes
- 1.
Similar calls are used when transforming target update directives.
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Acknowledgment
The authors would like to thank Adapteva for providing them with a Parallella-16 board through the Parallella University Program.
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Papadogiannakis, A., Agathos, S.N., Dimakopoulos, V.V. (2015). OpenMP 4.0 Device Support in the OMPi Compiler. In: Terboven, C., de Supinski, B., Reble, P., Chapman, B., Müller, M. (eds) OpenMP: Heterogenous Execution and Data Movements. IWOMP 2015. Lecture Notes in Computer Science(), vol 9342. Springer, Cham. https://doi.org/10.1007/978-3-319-24595-9_15
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