Tolerate It if You Cannot Reduce It: Handling Latency in Tiered Memory

Current memory tiering systems mitigate asymmetric latency through page migration between tiers. While this approach effectively hides latency, it overlooks scenarios where latency could potentially be tolerated. We propose that an efficient system should integrate both latency reduction (migration) and latency tolerance strategies. Our research demonstrates the effectiveness of prefetchers in tolerating latency within such systems, highlighting their importance in the design of high-performance memory tiering solutions.

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Publication Details

Published
2025-05-14
DOI
https://doi.org/10.1145/3713082.3730376
Citations
1
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.73
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article

Tolerate It if You Cannot Reduce It: Handling Latency in Tiered Memory

Musa Unal, Yujie Ren, Sanidhya Kashyap, Vishal Gupta et al.
1 citations
Advanced Memory and Neural Computing
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article

Tolerate It if You Cannot Reduce It: Handling Latency in Tiered Memory

Musa Unal, Yujie Ren, Sanidhya Kashyap, Vishal Gupta, Yueyang Pan
article en
1 citations

Abstract

Current memory tiering systems mitigate asymmetric latency through page migration between tiers. While this approach effectively hides latency, it overlooks scenarios where latency could potentially be tolerated. We propose that an efficient system should integrate both latency reduction (migration) and latency tolerance strategies. Our research demonstrates the effectiveness of prefetchers in tolerating latency within such systems, highlighting their importance in the design of high-performance memory tiering solutions.

Openalex Percentile: Top 27%
Advanced Memory and Neural Computing
0.73
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