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Performance evaluation of Unified Memory with prefetching and oversubscription for selected parallel CUDA applications on NVIDIA Pascal and Volta GPUs
Abstract
The paper presents assessment of Unified Memory performance with data prefetching and memory oversubscription. Several versions of code are used with: standard memory management, standard Unified Memory and optimized Unified Memory with programmer-assisted data prefetching. Evaluation of execution times is provided for four applications: Sobel and image rotation filters, stream image processing and computational fluid dynamic simulation, performed on Pascal and Volta architecture GPUs—NVIDIA GTX 1080 and NVIDIA V100 cards. Furthermore, we evaluate the possibility of allocating more memory than available on GPUs and assess performance of codes using the three aforementioned implementations, including memory oversubscription available in CUDA. Results serve as recommendations and hints for other similar codes regarding expected performance on modern and already widely available GPUs.
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- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/s11227-019-02966-8
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- Category:
- Articles
- Type:
- artykuł w czasopiśmie wyróżnionym w JCR
- Published in:
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JOURNAL OF SUPERCOMPUTING
no. 75,
pages 7625 - 7645,
ISSN: 0920-8542 - Language:
- English
- Publication year:
- 2019
- Bibliographic description:
- Knap M., Czarnul P.: Performance evaluation of Unified Memory with prefetching and oversubscription for selected parallel CUDA applications on NVIDIA Pascal and Volta GPUs// JOURNAL OF SUPERCOMPUTING. -Vol. 75, (2019), s.7625-7645
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/s11227-019-02966-8
- Verified by:
- Gdańsk University of Technology
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