Affiliation:
1. University of Florida, Gainesville, FL
Abstract
Low power and/or energy consumption is a requirement not only in embedded systems that run on batteries or have limited cooling capabilities, but also in desktop and mainframes where chips require costly cooling techniques. Since the cache subsystem is typically the most power/energy-consuming subsystem, caches are good candidates for power/energy optimizations, and therefore, cache tuning techniques are widely researched. This survey focuses on state-of-the-art offline static and online dynamic cache tuning techniques and summarizes the techniques' attributes, major challenges, and potential research trends to inspire novel ideas and future research avenues.
Funder
Division of Computer and Network Systems
Publisher
Association for Computing Machinery (ACM)
Subject
General Computer Science,Theoretical Computer Science
Cited by
28 articles.
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1. TREAFET: Temperature-Aware Real-Time Task Scheduling for FinFET based Multicores;ACM Transactions on Embedded Computing Systems;2024-06-29
2. Global Store Statement Aggregation;2023 IEEE 14th International Symposium on Parallel Architectures, Algorithms and Programming (PAAP);2023-11-24
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