Demystifying BERT: Implications for Accelerator Design

14 April 2021

Suchita Pati

Shaizeen Aga

Nuwan Jayasena

Matthew D. Sinclair

LLMAG

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Papers citing "Demystifying BERT: Implications for Accelerator Design"

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Title
GradPIM: A Practical Processing-in-DRAM Architecture for Gradient Descent Heesu Kim Hanmin Park Taehyun Kim Kwanheum Cho Eojin Lee Soojung Ryu Hyuk-Jae Lee Kiyoung Choi Jinho Lee 48 35 0 15 Feb 2021
SynCron: Efficient Synchronization Support for Near-Data-Processing Architectures Christina Giannoula Nandita Vijaykumar Nikela Papadopoulou Vasileios Karakostas Ivan Fernandez Juan Gómez Luna Lois Orosa N. Koziris G. Goumas O. Mutlu 150 85 0 19 Jan 2021
Exploring the limits of Concurrency in ML Training on Google TPUs Sameer Kumar James Bradbury C. Young Yu Emma Wang Anselm Levskaya ... Tao Wang Tayo Oguntebi Yazhou Zu Yuanzhong Xu Andy Swing BDL AIMat MoE LRM 43 27 0 07 Nov 2020
FPRaker: A Processing Element For Accelerating Neural Network Training Omar Mohamed Awad Mostafa Mahmoud Isak Edo Vivancos Ali Hadi Zadeh Ciaran Bannon Anand Jayarajan Gennady Pekhimenko Andreas Moshovos 55 15 0 15 Oct 2020
TensorDash: Exploiting Sparsity to Accelerate Deep Neural Network Training and Inference Mostafa Mahmoud Isak Edo Vivancos Ali Hadi Zadeh Omar Mohamed Awad Gennady Pekhimenko Jorge Albericio Andreas Moshovos MoE 68 59 0 01 Sep 2020
SeqPoint: Identifying Representative Iterations of Sequence-based Neural Networks Suchita Pati Shaizeen Aga Matthew D. Sinclair Nuwan Jayasena 16 10 0 20 Jul 2020
Automatic Horizontal Fusion for GPU Kernels Ao Li Bojian Zheng Gennady Pekhimenko Fan Long 66 46 0 02 Jul 2020
Data Movement Is All You Need: A Case Study on Optimizing Transformers A. Ivanov Nikoli Dryden Tal Ben-Nun Shigang Li Torsten Hoefler 104 135 0 30 Jun 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 844 42,332 0 28 May 2020
GOBO: Quantizing Attention-Based NLP Models for Low Latency and Energy Efficient Inference Ali Hadi Zadeh Isak Edo Omar Mohamed Awad Andreas Moshovos MQ 65 188 0 08 May 2020
FlexSA: Flexible Systolic Array Architecture for Efficient Pruned DNN Model Training Sangkug Lym M. Erez 21 25 0 27 Apr 2020
A $^3$ : Accelerating Attention Mechanisms in Neural Networks with Approximation Tae Jun Ham Sungjun Jung Seonghak Kim Young H. Oh Yeonhong Park ... Jung-Hun Park Sanghee Lee Kyoung Park Jae W. Lee D. Jeong 63 219 0 22 Feb 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 73 189 0 08 Jan 2020
MLPerf Inference Benchmark Vijayarāghava Reḍḍī C. Cheng David Kanter Pete H Mattson Guenther Schmuelling ... Bing Yu George Y. Yuan Aaron Zhong P. Zhang Yuchen Zhou 99 508 0 06 Nov 2019
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 103 315 0 02 Oct 2019
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations Zhenzhong Lan Mingda Chen Sebastian Goodman Kevin Gimpel Piyush Sharma Radu Soricut SSL AIMat 371 6,463 0 26 Sep 2019
Scale MLPerf-0.6 models on Google TPU-v3 Pods Sameer Kumar Victor Bitorff Dehao Chen Chi-Heng Chou Blake A. Hechtman ... Peter Mattson Shibo Wang Tao Wang Yuanzhong Xu Zongwei Zhou 37 39 0 21 Sep 2019
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism Mohammad Shoeybi M. Patwary Raul Puri P. LeGresley Jared Casper Bryan Catanzaro MoE 334 1,914 0 17 Sep 2019
Demystifying the MLPerf Benchmark Suite Snehil Verma Qinzhe Wu Bagus Hanindhito Gunjan Jha E. John R. Radhakrishnan L. John VLM 46 8 0 24 Aug 2019
ERNIE 2.0: A Continual Pre-training Framework for Language Understanding Yu Sun Shuohuan Wang Yukun Li Shikun Feng Hao Tian Hua Wu Haifeng Wang CLL 87 811 0 29 Jul 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 674 24,528 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 234 8,444 0 19 Jun 2019
Large Batch Optimization for Deep Learning: Training BERT in 76 minutes Yang You Jing Li Sashank J. Reddi Jonathan Hseu Sanjiv Kumar Srinadh Bhojanapalli Xiaodan Song J. Demmel Kurt Keutzer Cho-Jui Hsieh ODL 257 999 0 01 Apr 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 253 3,745 0 09 Jan 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 95,114 0 11 Oct 2018
Echo: Compiler-based GPU Memory Footprint Reduction for LSTM RNN Training Bojian Zheng Abhishek Tiwari Nandita Vijaykumar Gennady Pekhimenko 48 44 0 22 May 2018
TBD: Benchmarking and Analyzing Deep Neural Network Training Hongyu Zhu Mohamed Akrout Bojian Zheng Andrew Pelegris Amar Phanishayee Bianca Schroeder Gennady Pekhimenko 53 80 0 16 Mar 2018
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 730 132,199 0 12 Jun 2017
SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks A. Parashar Minsoo Rhu Anurag Mukkara A. Puglielli Rangharajan Venkatesan Brucek Khailany J. Emer S. Keckler W. Dally 78 1,127 0 23 May 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 235 4,638 0 16 Apr 2017
An overview of gradient descent optimization algorithms Sebastian Ruder ODL 206 6,202 0 15 Sep 2016
Fathom: Reference Workloads for Modern Deep Learning Methods Robert Adolf Saketh Rama Brandon Reagen Gu-Yeon Wei David Brooks 48 183 0 23 Aug 2016
Gaussian Error Linear Units (GELUs) Dan Hendrycks Kevin Gimpel 172 5,037 0 27 Jun 2016
SQuAD: 100,000+ Questions for Machine Comprehension of Text Pranav Rajpurkar Jian Zhang Konstantin Lopyrev Percy Liang RALM 312 8,169 0 16 Jun 2016
Optimizing Performance of Recurrent Neural Networks on GPUs J. Appleyard Tomás Kociský Phil Blunsom 58 92 0 07 Apr 2016
EIE: Efficient Inference Engine on Compressed Deep Neural Network Song Han Xingyu Liu Huizi Mao Jing Pu A. Pedram M. Horowitz W. Dally 127 2,459 0 04 Feb 2016
How transferable are features in deep neural networks? J. Yosinski Jeff Clune Yoshua Bengio Hod Lipson OOD 234 8,344 0 06 Nov 2014
CNN Features off-the-shelf: an Astounding Baseline for Recognition A. Razavian Hossein Azizpour Josephine Sullivan S. Carlsson 159 4,945 0 23 Mar 2014
Optimizing CUDA Code By Kernel Fusion---Application on BLAS Jiri Filipovic M. Madzin J. Fousek L. Matyska 91 79 0 06 May 2013