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Eye Movement Monitoring of Memory
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An efficient labeled memory system for learned indexes.

Yuxuan Mo1, Jingnan Jia1, Pengfei Li1

  • 1Huazhong University of Science and Technology, Wuhan 430074, China.

Fundamental Research
|June 27, 2024
PubMed
Summary
This summary is machine-generated.

Introducing LaMem, a novel memory system abstraction using labels to manage shared hardware resources efficiently. This system guarantees Quality of Service (QoS) for applications and optimizes data movement, reducing overheads in modern memory hierarchies.

Keywords:
Cache hierarchyData movementHeterogeneous memory systemLearned indexResource contention

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Area of Science:

  • Computer Science
  • Computer Engineering
  • Memory Systems

Background:

  • Conventional memory hierarchies struggle with shared resource contention and data movement overheads.
  • Existing solutions employ inefficient scheduling strategies, leading to performance degradation.
  • The increasing complexity of memory hardware necessitates new approaches for resource management.

Purpose of the Study:

  • To propose an efficient abstraction for memory hierarchies called "Label".
  • To introduce LaMem, a labeled, resource-isolated, and cross-tiered memory system.
  • To demonstrate the applicability of LaMem for learned indexes.

Main Methods:

  • Leveraging a "Label" abstraction to connect application and hardware layers.
  • Implementing way-based partitioning for shared resource isolation and QoS guarantee.
  • Developing a fast, low-overhead cache repartitioning technique.
  • Customizing LaMem for learned indexes as a case study.

Main Results:

  • LaMem effectively guarantees Quality of Service (QoS) demands for co-located applications.
  • The system supports fast and low-overhead cache repartitioning.
  • Experimental results validate the efficiency and efficacy of LaMem, particularly for learned indexes.
  • Reduced temporal, spatial, and bandwidth overheads compared to existing schemes.

Conclusions:

  • LaMem provides an efficient solution for managing shared resources in modern memory systems.
  • The "Label" abstraction enables effective resource isolation and QoS guarantees.
  • LaMem demonstrates significant improvements in performance and efficiency, especially when applied to learned indexes.