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Perceptron-based prefetch filtering

Authors:

Daniel A. JiménezAuthors Info & Claims

ISCA '19: Proceedings of the 46th International Symposium on Computer Architecture

Pages 1 - 13

https://doi.org/10.1145/3307650.3322207

Published: 22 June 2019 Publication History

Abstract

Hardware prefetching is an effective technique for hiding cache miss latencies in modern processor designs. Prefetcher performance can be characterized by two main metrics that are generally at odds with one another: coverage, the fraction of baseline cache misses which the prefetcher brings into the cache; and accuracy, the fraction of prefetches which are ultimately used. An overly aggressive prefetcher may improve coverage at the cost of reduced accuracy. Thus, performance may be harmed by this over-aggressiveness because many resources are wasted, including cache capacity and bandwidth. An ideal prefetcher would have both high coverage and accuracy.

In this paper, we introduce Perceptron-based Prefetch Filtering (PPF) as a way to increase the coverage of the prefetches generated by an underlying prefetcher without negatively impacting accuracy. PPF enables more aggressive tuning of the underlying prefetcher, leading to increased coverage by filtering out the growing numbers of inaccurate prefetches such an aggressive tuning implies. We also explore a range of features to use to train PPF's perceptron layer to identify inaccurate prefetches. PPF improves performance on a memory-intensive subset of the SPEC CPU 2017 benchmarks by 3.78% for a single-core configuration, and by 11.4% for a 4-core configuration, compared to the underlying prefetcher alone.

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Perceptron-based prefetch filtering
1. Hardware

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cover image ACM Conferences

ISCA '19: Proceedings of the 46th International Symposium on Computer Architecture

June 2019

849 pages

ISBN:9781450366694

DOI:10.1145/3307650

General Chair:
Srilatha (Bobbie) Manne
Microsoft
,
Program Chairs:
Hillery Hunter
IBM
,
Erik Altman
IBM Research

Copyright © 2019 ACM.

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Published: 22 June 2019

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ISCA '19: The 46th Annual International Symposium on Computer Architecture

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ISCA '19 Paper Acceptance Rate 62 of 365 submissions, 17%;

Overall Acceptance Rate 543 of 3,203 submissions, 17%

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Cited By

Sanchez-Cuevas PDiaz-del-Rio FCasanueva-Morato DRios-Navarro A(2025)Competitive cost-effective memory access predictor through short-term online SVM and dynamic vocabulariesFuture Generation Computer Systems10.1016/j.future.2024.107592164(107592)Online publication date: Mar-2025
https://doi.org/10.1016/j.future.2024.107592
Cui YChen WCheng XYi J(2024)Hyperion: A Highly Effective Page and PC Based Delta PrefetcherACM Transactions on Architecture and Code Optimization10.1145/367539821:4(1-27)Online publication date: 19-Nov-2024
https://dl.acm.org/doi/10.1145/3675398
Martínez Palau FTorrents MArmejach ACasas M(2024)Exploiting Vector Code Semantics for Efficient Data Cache PrefetchingProceedings of the 38th ACM International Conference on Supercomputing10.1145/3650200.3656635(98-109)Online publication date: 30-May-2024
https://dl.acm.org/doi/10.1145/3650200.3656635
Jain ALin HVillavieja CKasikci BKennelly CHashemi MRanganathan PTsafrir DMusuvathi MGupta RAbu-Ghazaleh N(2024)Limoncello: Prefetchers for ScaleProceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 310.1145/3620666.3651373(577-590)Online publication date: 27-Apr-2024
https://dl.acm.org/doi/10.1145/3620666.3651373
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Ainsworth SMukhanov L(2024)Triangel: A High-Performance, Accurate, Timely On-Chip Temporal Prefetcher2024 ACM/IEEE 51st Annual International Symposium on Computer Architecture (ISCA)10.1109/ISCA59077.2024.00090(1202-1216)Online publication date: 29-Jun-2024
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Duong QJain ALin C(2024)A New Formulation of Neural Data Prefetching2024 ACM/IEEE 51st Annual International Symposium on Computer Architecture (ISCA)10.1109/ISCA59077.2024.00088(1173-1187)Online publication date: 29-Jun-2024
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Jamet AVavouliotis GJiménez DAlvarez LCasas M(2024)A Two Level Neural Approach Combining Off-Chip Prediction with Adaptive Prefetch Filtering2024 IEEE International Symposium on High-Performance Computer Architecture (HPCA)10.1109/HPCA57654.2024.00046(528-542)Online publication date: 2-Mar-2024
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