Learning Memory Access Patterns

6 March 2018

Parthasarathy Ranganathan

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Papers citing "Learning Memory Access Patterns"

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Title
Deep-Learning-Driven Prefetching for Far Memory Yutong Huang Zhiyuan Guo Yiying Zhang 26 0 0 31 May 2025
ArchGym: An Open-Source Gymnasium for Machine Learning Assisted Architecture Design Srivatsan Krishnan Amir Yazdanbaksh Shvetank Prakash Jason J. Jabbour Ikechukwu Uchendu ... Behzad Boroujerdian Daniel Richins Devashree Tripathy Aleksandra Faust Vijay Janapa Reddi 116 14 0 15 Jun 2023
End-to-End Application Cloning for Distributed Cloud Microservices with Ditto Mingyu Liang Yu Gan Yueying Li Carlos Torres A. Dhanotia M. Ketkar Christina Delimitrou 27 0 0 28 Dec 2022
Learned-Database Systems Security R. Schuster Jinyi Zhou Thorsten Eisenhofer Paul Grubbs Nicolas Papernot AAML 115 2 0 20 Dec 2022
MUSTACHE: Multi-Step-Ahead Predictions for Cache Eviction Gabriele Tolomei Lorenzo Takanen Fabio Pinelli 20 0 0 03 Nov 2022
TransforMAP: Transformer for Memory Access Prediction Pengmiao Zhang Ajitesh Srivastava Anant V. Nori Rajgopal Kannan Viktor Prasanna 36 7 0 29 May 2022
An Intelligent Framework for Oversubscription Management in CPU-GPU Unified Memory Xinjian Long Xiang Gong Huiyang Zhou 64 7 0 06 Apr 2022
Deep Learning based Data Prefetching in CPU-GPU Unified Virtual Memory Xinjian Long Xiang Gong Huiyang Zhou 105 14 0 19 Mar 2022
The fine line between dead neurons and sparsity in binarized spiking neural networks Jason K. Eshraghian Wei D. Lu 108 19 0 28 Jan 2022
Pythia: A Customizable Hardware Prefetching Framework Using Online Reinforcement Learning Rahul Bera Konstantinos Kanellopoulos Anant V. Nori Taha Shahroodi S. Subramoney O. Mutlu 84 82 0 24 Sep 2021
DAMOV: A New Methodology and Benchmark Suite for Evaluating Data Movement Bottlenecks Geraldo F. Oliveira Juan Gómez Luna Lois Orosa Saugata Ghose Nandita Vijaykumar Ivan Fernandez Mohammad Sadrosadati O. Mutlu 104 85 0 08 May 2021
A Survey of Machine Learning for Computer Architecture and Systems Nan Wu Yuan Xie AI4TS AI4CE 105 152 0 16 Feb 2021
Trex: Learning Execution Semantics from Micro-Traces for Binary Similarity Kexin Pei Zhou Xuan Junfeng Yang Suman Jana Baishakhi Ray 100 90 0 16 Dec 2020
Online Paging with a Vanishing Regret Y. Emek S. Kutten Yangguang Shi 19 9 0 18 Nov 2020
Phoebe: Reuse-Aware Online Caching with Reinforcement Learning for Emerging Storage Models Nan Wu Pengcheng Li 51 7 0 13 Nov 2020
DiffTune: Optimizing CPU Simulator Parameters with Learned Differentiable Surrogates Alex Renda Yishen Chen Charith Mendis Michael Carbin 55 36 0 08 Oct 2020
An Imitation Learning Approach for Cache Replacement Emmy Liu Milad Hashemi Kevin Swersky Parthasarathy Ranganathan Junwhan Ahn 77 87 0 29 Jun 2020
FLAML: A Fast and Lightweight AutoML Library Chi Wang Qingyun Wu Markus Weimer Erkang Zhu 107 207 0 12 Nov 2019
Learning Execution through Neural Code Fusion Zhan Shi Kevin Swersky Daniel Tarlow Parthasarathy Ranganathan Milad Hashemi GNN 113 29 0 17 Jun 2019
ALEX: An Updatable Adaptive Learned Index Jialin Ding U. F. Minhas Jia Yu Chi Wang Jaeyoung Do ... Badrish Chandramouli J. Gehrke Donald Kossmann D. Lomet Tim Kraska 80 300 0 21 May 2019
Ithemal: Accurate, Portable and Fast Basic Block Throughput Estimation using Deep Neural Networks Charith Mendis Alex Renda Saman P. Amarasinghe Michael Carbin 56 153 0 21 Aug 2018
A neural network memory prefetcher using semantic locality L. Peled U. Weiser Yoav Etsion 48 43 0 19 Mar 2018