Page Scanning Techniques for Efficient Hotness Tracking in Tiered Memory Systems
- Title
- Page Scanning Techniques for Efficient Hotness Tracking in Tiered Memory Systems
- Alternative Title
- 계층 메모리 시스템에서 효과적인 접근 빈도 측정을 위한 페이지 탐색 기법
- Author(s)
- Kim Heesoo
- DGIST Authors
- Kim Heesoo ; Daehoon Kim ; Donghoon Shin
- Advisor
- 김대훈
- Co-Advisor(s)
- Donghoon Shin
- Issued Date
- 2024
- Awarded Date
- 2024-02-01
- Type
- Thesis
- Description
- Tiered Memory System;Page Table Monitor; Physical Memory Address; Page Table Walk
- Table Of Contents
-
Abstract
List of Contents
I. Introduction
II. Background and Motivation
2.1. Tiered Memory System
2.2. Demand Paging and Page Fault
2.3. Performance Impact of Slow Memory
2.4. Effective Page Management Through Monitor
III. Related Work
3.1. NUMA Hint Fault
3.2. PEBS: Processor Event-Based Sampling
3.3. Page Table-Based
IV. Page Scan Acceleration by Dynamically Eliminating Page Table Walk
4.1. Challenges
4.1.1. Migration
4.1.2. De-allocation
4.1.3. Allocation
4.2. Main Architecture
4.2.1. Physical Memory Address List Initialization
4.2.2. Access Pattern Monitoring
4.2.3. Thresholds of Page Fault Tracking and Synchronization
4.2.4. Page Fault Tracking
4.2.5. Synchronize
V. Evaluation
5.1. Experimental Methodology
5.2. Performance with Monitoring
5.2.1. Monitoring Overhead
5.2.2. Page Fault Tracking Overhead
5.2.3. Application Performance
5.3. Threshold Optimization
5.3.1. Page Fault Threshold
5.3.2. Synchronization Threshold and Time Window
5.3.3. Number of Untracked Pages to Tolerate
5.4. Effect of LRU and LFU
5.5. Comparison with PEBS
5.6. Overhead of Physical Memory Address List
VI. Conclusion
References
요약문
- URI
-
http://hdl.handle.net/20.500.11750/48097
http://dgist.dcollection.net/common/orgView/200000723697
- Degree
- Master
- Publisher
- DGIST
- Related Researcher
-
-
Kim, Daehoon
- Research Interests Computer Architecture and Systems; Virtualization; Cloud Computing
-
- Files in This Item:
-
There are no files associated with this item.
- Appears in Collections:
- Department of Electrical Engineering and Computer Science Theses Master
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