PIPP

Author:

Xie Yuejian1,Loh Gabriel H.1

Affiliation:

1. Georgia Institute of Technology, Atlanta, GA, USA

Abstract

Many multi-core processors employ a large last-level cache (LLC) shared among the multiple cores. Past research has demonstrated that sharing-oblivious cache management policies (e.g., LRU) can lead to poor performance and fairness when the multiple cores compete for the limited LLC capacity. Different memory access patterns can cause cache contention in different ways, and various techniques have been proposed to target some of these behaviors. In this work, we propose a new cache management approach that combines dynamic insertion and promotion policies to provide the benefits of cache partitioning, adaptive insertion, and capacity stealing all with a single mechanism. By handling multiple types of memory behaviors, our proposed technique outperforms techniques that target only either capacity partitioning or adaptive insertion.

Publisher

Association for Computing Machinery (ACM)

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1. Leveraging Replacement Algorithm for Improved Cache Management System;Wireless Personal Communications;2024-03

2. RSPP: Restricted Static Pseudo-Partitioning for Mitigation of Cross-Core Covert Channel Attacks;ACM Transactions on Design Automation of Electronic Systems;2024-01-15

3. Hopscotch: A Hardware-Software Co-Design for Efficient Cache Resizing on Multi-Core SoCs;IEEE Transactions on Parallel and Distributed Systems;2024-01

4. Cips: The Cache Intrusion Prevention System;Lecture Notes in Computer Science;2024

5. A Survey on Way-Based Cache Partitioning;2023 IEEE Silchar Subsection Conference (SILCON);2023-11-03

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