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Memory Management Strategies in CPU/GPU Database ...
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由 I Arefyevaº 著作 — This paper provides a survey of four main techniques for managing GPU memory and their applications for query processing in cross-device powered database ...
Memory Management Strategies in CPU/GPU Database ...
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2024年11月21日 — Arefyeva et al. [2] surveyed several techniques to manage GPU memory and recommended UM design to use for frequently accessed and changed data, ...
Memory Management Strategies in CPU/GPU Database ...
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由 I Arefyeva 著作2018被引用 17 次 — This paper provides a survey of four main techniques for managing GPU memory and their applications for query processing in cross-device powered ...
(PDF) Memory Management Strategies in CPU/GPU Database ...
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This paper provides a survey of four main techniques for managing GPU memory and their applications for query processing in cross-device powered database ...
Iya Arefyeva
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Memory management strategies in CPU/GPU database systems: A survey. I Arefyeva, D Broneske, G Campero, M Pinnecke, G Saake. Beyond Databases, Architectures and ...
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GPU-Accelerated Database Systems: Survey and Open ...
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Some potential strategies include keeping the hot set of the data resident on the graphics card, or using the limited graphics card memory as a low-resolution ...
GPU Database Systems Characterization and Optimization
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由 J Cao 著作被引用 8 次 — GPUs offer massive parallelism and high-bandwidth memory access, making them an attractive option for accelerating data analytics in database systems. However, ...
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Dynamic memory management in massively parallel systems
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由 M Pham 著作2022被引用 5 次 — Memory management strategies in CPU/GPU database systems: A survey. In International Conference: Beyond Databases, Architectures and Structures.
Survey on memory management techniques in ... - IET Journals
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由 A Hazarika 著作2020被引用 20 次 — This paper presents a qualitative survey on various DRAM designs and hardware accelerator architectures used for memory management in ...
Survey on memory management techniques in ...
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This survey study presents an analysis of various DRAM designs and their performances and focuses on the architecture, functionality, and performance of ...
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