On Automated Feedback-Driven Data Placement in Multi-tiered Memory
| Autor: | Tong Zhou, T. Chad Effler, Prasad A. Kulkarni, Adam P. Howard, Kshitij A. Doshi, Michael R. Jantz |
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| Rok vydání: | 2018 |
| Předmět: |
Profiling (computer programming)
business.industry Computer science 0202 electrical engineering electronic engineering information engineering 020207 software engineering 02 engineering and technology Artificial intelligence Machine learning computer.software_genre business computer 020202 computer hardware & architecture Data placement |
| Zdroj: | Lecture Notes in Computer Science ISBN: 9783319776095 ARCS |
| Popis: | Recent emergence of systems with multiple performance and capacity tiers of memory invites a fresh consideration of strategies for optimal placement of data into the various tiers. This work explores a variety of cross-layer strategies for managing application data in multi-tiered memory. We propose new profiling techniques based on the automatic classification of program allocation sites, with the goal of using those classifications to guide memory tier assignments. We evaluate our approach with different profiling inputs and application strategies, and show that it outperforms other state-of-the-art management techniques. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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