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A Heterogeneity-Aware Replacement Policy for the Partitioned Cache on Asymmetric Multi-Core Architectures.

Juan Fang1, Han Kong1, Huijing Yang1

  • 1Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China.

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|November 24, 2022
PubMed
Summary
This summary is machine-generated.

A new cache replacement policy, HAPC (heterogeneity-aware replacement policy for the partitioned cache), improves performance in asymmetric multi-core systems. It prioritizes cache blocks for big cores, enhancing overall system efficiency.

Keywords:
asymmetric multi-coreheterogeneity-awarelast-level cachereplacement policy

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Area of Science:

  • Computer Architecture
  • Performance Optimization
  • Cache Memory Management

Background:

  • Asymmetric multi-core architectures feature heterogeneous cores sharing the last-level cache (LLC).
  • Diverse memory access patterns of heterogeneous cores intensify LLC competition and interference.
  • Existing cache replacement policies struggle to efficiently manage shared LLCs in heterogeneous systems.

Purpose of the Study:

  • To propose a heterogeneity-aware replacement policy for partitioned caches (HAPC).
  • To reduce mutual interference between heterogeneous cores in shared LLC environments.
  • To enhance LLC access efficiency, particularly for performance-critical big cores.

Main Methods:

  • Implemented cache partitioning to isolate core interference.
  • Developed runtime tracking of shared cache block reuse states within partitions.
  • Designed HAPC to prioritize cache blocks utilized by big cores based on memory access differences.

Main Results:

  • HAPC significantly improves the performance of big cores in multithreaded programs.
  • The impact on little cores is minimal, maintaining their performance levels.
  • Overall system performance is enhanced due to improved LLC access efficiency.

Conclusions:

  • HAPC effectively addresses LLC contention in asymmetric multi-core systems.
  • The policy's heterogeneity-aware approach optimizes cache utilization for diverse core types.
  • HAPC offers a superior alternative to LRU and SRCP for improving system performance.