Data Transfer and Reuse Analysis Tool for GPU-Offloading Using OpenMP-Reference-Cited by-同舟云学术

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Data Transfer and Reuse Analysis Tool for GPU-Offloading Using OpenMP

Published:2020 Issue: Volume: Page:280-294
ISSN:0302-9743
Container-title:OpenMP: Portable Multi-Level Parallelism on Modern Systems
language:
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Author:

Mishra Alok,Malik Abid M.,Chapman Barbara

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-58144-2_18

Reference33 articles.

1. Lecture Notes in Computer Science;P Barua,2019

2. Bercea, G.T., et al.: Implementing implicit OpenMP data sharing on GPUs. In: Proceedings of the Fourth Workshop on the LLVM Compiler Infrastructure in HPC, pp. 1–12 (2017)

3. C++ Heterogeneous-Compute Interface for Portability (2016). https://github.com/ROCm-Developer-Tools/HIP

4. Che, S., et al.: Rodinia: a benchmark suite for heterogeneous computing. In: 2009 IEEE International Symposium on Workload Characterization (IISWC), pp. 44–54. IEEE (2009)

5. Clang 8.0 (2019). http://releases.llvm.org/8.0.1/tools/clang/docs/index.html

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. OpenMP Advisor: A Compiler Tool for Heterogeneous Architectures;OpenMP: Advanced Task-Based, Device and Compiler Programming;2023

2. COMPOFF: A Compiler Cost model using Machine Learning to predict the Cost of OpenMP Offloading;2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW);2022-05

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