Cache management based on access type priority
Abstract
Systems, apparatuses, and methods for cache management based on access type priority are disclosed. A system includes at least a processor and a cache. During a program execution phase, certain access types are more likely to cause demand hits in the cache than others. Demand hits are load and store hits to the cache. A run-time profiling mechanism is employed to find which access types are more likely to cause demand hits. Based on the profiling results, the cache lines that will likely be accessed in the future are retained based on their most recent access type. The goal is to increase demand hits and thereby improve system performance. An efficient cache replacement policy can potentially reduce redundant data movement, thereby improving system performance and reducing energy consumption.
- Inventors:
- Issue Date:
- Research Org.:
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States); Advanced Micro Devices, Inc., Santa Clara, CA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 2222369
- Patent Number(s):
- 11768779
- Application Number:
- 16/716,194
- Assignee:
- Advanced Micro Devices, Inc. (Santa Clara, CA)
- DOE Contract Number:
- AC52-07NA27344; B620717
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 12/16/2019
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Yin, Jieming, Eckert, Yasuko, and Sethumurugan, Subhash. Cache management based on access type priority. United States: N. p., 2023.
Web.
Yin, Jieming, Eckert, Yasuko, & Sethumurugan, Subhash. Cache management based on access type priority. United States.
Yin, Jieming, Eckert, Yasuko, and Sethumurugan, Subhash. Tue .
"Cache management based on access type priority". United States. https://www.osti.gov/servlets/purl/2222369.
@article{osti_2222369,
title = {Cache management based on access type priority},
author = {Yin, Jieming and Eckert, Yasuko and Sethumurugan, Subhash},
abstractNote = {Systems, apparatuses, and methods for cache management based on access type priority are disclosed. A system includes at least a processor and a cache. During a program execution phase, certain access types are more likely to cause demand hits in the cache than others. Demand hits are load and store hits to the cache. A run-time profiling mechanism is employed to find which access types are more likely to cause demand hits. Based on the profiling results, the cache lines that will likely be accessed in the future are retained based on their most recent access type. The goal is to increase demand hits and thereby improve system performance. An efficient cache replacement policy can potentially reduce redundant data movement, thereby improving system performance and reducing energy consumption.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2023},
month = {9}
}
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