MAGMA: An Optimization Framework for Mapping Multiple DNNs on Multiple Accelerator Cores

28 April 2021

Papers citing "MAGMA: An Optimization Framework for Mapping Multiple DNNs on Multiple Accelerator Cores"

44 / 44 papers shown

Title
CoSA: Scheduling by Constrained Optimization for Spatial Accelerators Qijing Huang Minwoo Kang Grace Dinh Thomas Norell Aravind Kalaiah J. Demmel J. Wawrzynek Y. Shao 41 110 0 05 May 2021
Long Range Arena: A Benchmark for Efficient Transformers Yi Tay Mostafa Dehghani Samira Abnar Songlin Yang Dara Bahri Philip Pham J. Rao Liu Yang Sebastian Ruder Donald Metzler 130 717 0 08 Nov 2020
Efficient Transformers: A Survey Yi Tay Mostafa Dehghani Dara Bahri Donald Metzler VLM 144 1,115 0 14 Sep 2020
ConfuciuX: Autonomous Hardware Resource Assignment for DNN Accelerators using Reinforcement Learning Sheng-Chun Kao Geonhwa Jeong T. Krishna 69 96 0 04 Sep 2020
Centaur: A Chiplet-based, Hybrid Sparse-Dense Accelerator for Personalized Recommendations Ranggi Hwang Taehun Kim Youngeun Kwon Minsoo Rhu 43 105 0 12 May 2020
Reformer: The Efficient Transformer Nikita Kitaev Lukasz Kaiser Anselm Levskaya VLM 181 2,307 0 13 Jan 2020
DeepRecSys: A System for Optimizing End-To-End At-scale Neural Recommendation Inference Udit Gupta Samuel Hsia V. Saraph Xiaodong Wang Brandon Reagen Gu-Yeon Wei Hsien-Hsin S. Lee David Brooks Carole-Jean Wu GNN 58 188 0 08 Jan 2020
FlauBERT: Unsupervised Language Model Pre-training for French Hang Le Loïc Vial Jibril Frej Vincent Segonne Maximin Coavoux Benjamin Lecouteux A. Allauzen Benoît Crabbé Laurent Besacier D. Schwab AI4CE 81 398 0 11 Dec 2019
CamemBERT: a Tasty French Language Model Louis Martin Benjamin Muller Pedro Ortiz Suarez Yoann Dupont Laurent Romary Eric Villemonte de la Clergerie Djamé Seddah Benoît Sagot 96 970 0 10 Nov 2019
Unsupervised Cross-lingual Representation Learning at Scale Alexis Conneau Kartikay Khandelwal Naman Goyal Vishrav Chaudhary Guillaume Wenzek Francisco Guzmán Edouard Grave Myle Ott Luke Zettlemoyer Veselin Stoyanov 193 6,522 0 05 Nov 2019
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension M. Lewis Yinhan Liu Naman Goyal Marjan Ghazvininejad Abdel-rahman Mohamed Omer Levy Veselin Stoyanov Luke Zettlemoyer AIMat VLM 207 10,792 0 29 Oct 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 367 20,053 0 23 Oct 2019
Heterogeneous Dataflow Accelerators for Multi-DNN Workloads Hyoukjun Kwon Liangzhen Lai Michael Pellauer T. Krishna Yu-Hsin Chen Vikas Chandra 46 16 0 13 Sep 2019
CTRL: A Conditional Transformer Language Model for Controllable Generation N. Keskar Bryan McCann Lav Varshney Caiming Xiong R. Socher AI4CE 111 1,239 0 11 Sep 2019
PREMA: A Predictive Multi-task Scheduling Algorithm For Preemptible Neural Processing Units Yujeong Choi Minsoo Rhu 35 129 0 06 Sep 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy M. Lewis Luke Zettlemoyer Veselin Stoyanov AIMat 514 24,351 0 26 Jul 2019
XLNet: Generalized Autoregressive Pretraining for Language Understanding Zhilin Yang Zihang Dai Yiming Yang J. Carbonell Ruslan Salakhutdinov Quoc V. Le AI4CE 215 8,415 0 19 Jun 2019
Deep Learning Recommendation Model for Personalization and Recommendation Systems Maxim Naumov Dheevatsa Mudigere Hao-Jun Michael Shi Jianyu Huang Narayanan Sundaraman ... Wenlin Chen Vijay Rao Bill Jia Liang Xiong M. Smelyanskiy 85 732 0 31 May 2019
Optimally Scheduling CNN Convolutions for Efficient Memory Access Arthur Stoutchinin Francesco Conti Luca Benini 50 43 0 04 Feb 2019
Cross-lingual Language Model Pretraining Guillaume Lample Alexis Conneau 73 2,735 0 22 Jan 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 188 3,721 0 09 Jan 2019
Genetic-Gated Networks for Deep Reinforcement Simyung Chang John Yang Jaeseok Choi Nojun Kwak AI4CE 32 16 0 26 Nov 2018
Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications Jongsoo Park Maxim Naumov Protonu Basu Summer Deng Aravind Kalaiah ... Lin Qiao Vijay Rao Nadav Rotem S. Yoo M. Smelyanskiy FedML GNN BDL 57 187 0 24 Nov 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.4K 94,511 0 11 Oct 2018
Learning Scheduling Algorithms for Data Processing Clusters Hongzi Mao Malte Schwarzkopf S. Venkatakrishnan Zili Meng Mohammad Alizadeh OffRL 76 643 0 03 Oct 2018
Deep Interest Evolution Network for Click-Through Rate Prediction Guorui Zhou Na Mou Ying Fan Qi Pi Weijie Bian Chang Zhou Xiaoqiang Zhu Kun Gai 67 1,061 0 11 Sep 2018
MnasNet: Platform-Aware Neural Architecture Search for Mobile Mingxing Tan Bo Chen Ruoming Pang Vijay Vasudevan Mark Sandler Andrew G. Howard Quoc V. Le MQ 114 3,004 0 31 Jul 2018
Deep contextualized word representations Matthew E. Peters Mark Neumann Mohit Iyyer Matt Gardner Christopher Clark Kenton Lee Luke Zettlemoyer NAI 178 11,542 0 15 Feb 2018
Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions Nicolas Vasilache O. Zinenko Theodoros Theodoridis Priya Goyal Zach DeVito William S. Moses Sven Verdoolaege Andrew Adams Albert Cohen 69 434 0 13 Feb 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks Mark Sandler Andrew G. Howard Menglong Zhu A. Zhmoginov Liang-Chieh Chen 169 19,204 0 13 Jan 2018
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning F. Such Vashisht Madhavan Edoardo Conti Joel Lehman Kenneth O. Stanley Jeff Clune 90 691 0 18 Dec 2017
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents Edoardo Conti Vashisht Madhavan F. Such Joel Lehman Kenneth O. Stanley Jeff Clune 61 347 0 18 Dec 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 444 18,931 0 20 Jul 2017
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices Xiangyu Zhang Xinyu Zhou Mengxiao Lin Jian Sun AI4TS 132 6,850 0 04 Jul 2017
Deep Interest Network for Click-Through Rate Prediction Guorui Zhou Cheng-Ning Song Xiaoqiang Zhu Xi-Wang Dai Ziru Xu Xiao Ma Yanghui Yan Junqi Jin Han Li Kun Gai 68 1,817 0 21 Jun 2017
In-Datacenter Performance Analysis of a Tensor Processing Unit N. Jouppi C. Young Nishant Patil David Patterson Gaurav Agrawal ... Vijay Vasudevan Richard Walter Walter Wang Eric Wilcox Doe Hyun Yoon 209 4,626 0 16 Apr 2017
Evolution Strategies as a Scalable Alternative to Reinforcement Learning Tim Salimans Jonathan Ho Xi Chen Szymon Sidor Ilya Sutskever 86 1,536 0 10 Mar 2017
Wide & Deep Learning for Recommender Systems Heng-Tze Cheng L. Koc Jeremiah Harmsen T. Shaked Tushar Chandra ... Zakaria Haque Lichan Hong Vihan Jain Xiaobing Liu Hemal Shah HAI VLM 149 3,655 0 24 Jun 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size F. Iandola Song Han Matthew W. Moskewicz Khalid Ashraf W. Dally Kurt Keutzer 137 7,465 0 24 Feb 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning Christian Szegedy Sergey Ioffe Vincent Vanhoucke Alexander A. Alemi 348 14,223 0 23 Feb 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 189 8,833 0 04 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.9K 193,426 0 10 Dec 2015
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 397 43,589 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.3K 100,213 0 04 Sep 2014