OpenMP to CUDA graphs: a compiler-based transformation to enhance the programmability of NVIDIA devices
Document typeConference lecture
PublisherAssociation for Computing Machinery (ACM)
Rights accessOpen Access
European Commission's projectAMPERE - A Model-driven development framework for highly Parallel and EneRgy-Efficient computation supporting multi-criteria optimisation (EC-H2020-871669)
Heterogeneous computing is increasingly being used in a diversity of computing systems, ranging from HPC to the real-time embedded domain, to cope with the performance requirements. Due to the variety of accelerators, e.g., FPGAs, GPUs, the use of high-level parallel programming models is desirable to exploit the performance capabilities of them, while maintaining an adequate productivity level. In that regard, OpenMP is a well-known high-level programming model that incorporates powerful task and accelerator models capable of efficiently exploiting structured and unstructured parallelism in heterogeneous computing. This paper presents a novel compiler transformation technique that automatically transforms OpenMP code into CUDA graphs, combining the benefits of programmability of a high-level programming model such as OpenMP, with the performance benefits of a low-level programming model such as CUDA. Evaluations have been performed on two NVIDIA GPUs from the HPC and embedded domains, i.e., the V100 and the Jetson AGX respectively.
CitationYu, C.; Royuela Alcázar, S.; Quiñones, E. OpenMP to CUDA graphs: a compiler-based transformation to enhance the programmability of NVIDIA devices. A: SCOPES: Software and Compilers for Embedded Systems Conference. "SCOPES '20: Proceedings of the 23th International Workshop on Software and Compilers for Embedded Systems: May 2020". New York, NY, USA: Association for Computing Machinery (ACM), 2020, p. 42-47.
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder