Random Adaptive Cache Placement Policy

This paper presents a new hybrid cache replacement algorithm that combines random allocation with a modified V-Way cache implementation. Our RAC adapts to complex cache access patterns and optimizes cache usage by improving the utilization of cache sets, unlike traditional cache policies. The algorithm utilizes a 16-way set-associative cache with 2048 sets, incorporating dynamic allocation and flexible tag management. RAC extends the V-Way cache design and its variants by optimizing tag and data storage for enhanced efficiency.We evaluated the algorithm using the ChampSim simulator with four diverse benchmark traces and observed significant improvements in cache hit rates up to 80.82% hit rate. Although the improvements in the instructions per cycle (IPC) were moderate, our findings emphasize the algorithm’s potential to enhance cache utilization and reduce memory access times.

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Publication Details

Published
2024-12-18
DOI
https://doi.org/10.1109/hipcw63042.2024.00058
Primary Topic
Caching and Content Delivery
Type
article
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article

Random Adaptive Cache Placement Policy

P.R. Menon, Abhinandan S. Prasad, Vrushank Ahire, Aniruddh Muley
Caching and Content Delivery
article

Random Adaptive Cache Placement Policy

P.R. Menon, Abhinandan S. Prasad, Vrushank Ahire, Aniruddh Muley
article en

Abstract

This paper presents a new hybrid cache replacement algorithm that combines random allocation with a modified V-Way cache implementation. Our RAC adapts to complex cache access patterns and optimizes cache usage by improving the utilization of cache sets, unlike traditional cache policies. The algorithm utilizes a 16-way set-associative cache with 2048 sets, incorporating dynamic allocation and flexible tag management. RAC extends the V-Way cache design and its variants by optimizing tag and data storage for enhanced efficiency.We evaluated the algorithm using the ChampSim simulator with four diverse benchmark traces and observed significant improvements in cache hit rates up to 80.82% hit rate. Although the improvements in the instructions per cycle (IPC) were moderate, our findings emphasize the algorithm’s potential to enhance cache utilization and reduce memory access times.

Indian Institute of Technology Ropar (IN)
Openalex Percentile: Top 67%
Caching and Content Delivery
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Random Adaptive Cache Placement Policy — P.R. Menon, Abhinandan S. Prasad, et al. · (2024) | TGRS Research Map | TGRS