CDMPP: A Device-Model Agnostic Framework for Latency Prediction of
Tensor Programs

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CDMPP: A Device-Model Agnostic Framework for Latency Prediction of Tensor Programs

16 November 2023

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Papers citing "CDMPP: A Device-Model Agnostic Framework for Latency Prediction of Tensor Programs"

18 / 18 papers shown

Title
Learning sparse features can lead to overfitting in neural networks Leonardo Petrini Francesco Cagnetta Eric Vanden-Eijnden Matthieu Wyart MLT 91 26 0 24 Jun 2022
Moses: Efficient Exploitation of Cross-device Transferable Features for Tensor Program Optimization Zhihe Zhao Xian Shuai Yang Bai Neiwen Ling Nan Guan Zhenyu Yan Guoliang Xing 98 6 0 15 Jan 2022
Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data Qi Zhu Natalia Ponomareva Jiawei Han Bryan Perozzi OOD 85 112 0 02 Aug 2021
A Deep Learning Based Cost Model for Automatic Code Optimization Riyadh Baghdadi Massinissa Merouani Mohamed-Hicham Leghettas K. Abdous T. Arbaoui K. Benatchba Saman P. Amarasinghe 76 71 0 11 Apr 2021
MetaTune: Meta-Learning Based Cost Model for Fast and Efficient Auto-tuning Frameworks Jaehun Ryu Hyojin Sung 85 17 0 08 Feb 2021
Domain Divergences: a Survey and Empirical Analysis Abhinav Ramesh Kashyap Devamanyu Hazarika Min-Yen Kan Roger Zimmermann 259 40 0 23 Oct 2020
MCUNet: Tiny Deep Learning on IoT Devices Ji Lin Wei-Ming Chen Chengyue Wu J. Cohn Chuang Gan Song Han 159 493 0 20 Jul 2020
BRP-NAS: Prediction-based NAS using GCNs Łukasz Dudziak Thomas C. P. Chau Mohamed S. Abdelfattah Royson Lee Hyeji Kim Nicholas D. Lane GNN 86 205 0 16 Jul 2020
Ansor: Generating High-Performance Tensor Programs for Deep Learning Lianmin Zheng Chengfan Jia Minmin Sun Zhao Wu Cody Hao Yu ... Jun Yang Danyang Zhuo Koushik Sen Joseph E. Gonzalez Ion Stoica 147 403 0 11 Jun 2020
A survey on domain adaptation theory: learning bounds and theoretical guarantees I. Redko Emilie Morvant Amaury Habrard M. Sebban Younès Bennani OOD 169 135 0 24 Apr 2020
MLIR: A Compiler Infrastructure for the End of Moore's Law Chris Lattner M. Amini Uday Bondhugula Albert Cohen Andy Davis J. Pienaar River Riddle T. Shpeisman Nicolas Vasilache O. Zinenko VLM 86 251 0 25 Feb 2020
MLPerf Training Benchmark Arya D. McCarthy Christine Cheng Cody Coleman Greg Diamos Paulius Micikevicius ... Carole-Jean Wu Lingjie Xu Masafumi Yamazaki C. Young Matei A. Zaharia 103 316 0 02 Oct 2019
The Non-IID Data Quagmire of Decentralized Machine Learning Kevin Hsieh Amar Phanishayee O. Mutlu Phillip B. Gibbons 185 573 0 01 Oct 2019
Optuna: A Next-generation Hyperparameter Optimization Framework Takuya Akiba Shotaro Sano Toshihiko Yanase Takeru Ohta Masanori Koyama 681 5,885 0 25 Jul 2019
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context Zihang Dai Zhilin Yang Yiming Yang J. Carbonell Quoc V. Le Ruslan Salakhutdinov VLM 263 3,750 0 09 Jan 2019
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware Han Cai Ligeng Zhu Song Han 107 1,877 0 02 Dec 2018
Efficient Neural Architecture Search via Parameter Sharing Hieu H. Pham M. Guan Barret Zoph Quoc V. Le J. Dean 117 2,773 0 09 Feb 2018
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 435 18,361 0 27 May 2016

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