Mikhail Smelyanskiy

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All published works

Action	Title	Year	Authors
+ PDF Chat	Supporting Massive DLRM Inference through Software Defined Memory	2022	Ehsan K. Ardestani Changkyu Kim Seung Jae Lee Luoshang Pan Jens Axboe Valmiki Rampersad Banit Agrawal Fuxun Yu Ansha Yu Trung Le
+ PDF Chat	Software-hardware co-design for fast and scalable training of deep learning recommendation models	2022	Dheevatsa Mudigere Yuchen Hao Jianyu Huang Zhihao Jia Andrew Tulloch Srinivas Sridharan Xing Liu Mustafa Özdal Jade Nie Jongsoo Park
+ PDF Chat	Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale	2021	Zhaoxia Deng Jongsoo Park Ping Tang Haixin Liu Jie Jie Yang Hector Yuen Jianyu Huang Daya Shanker Khudia
+ PDF Chat	Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale	2021	Zhaoxia Deng Jongsoo Park Ping Tang Haixin Liu Jie Yang Hector Yuen Jianyu Huang Daya Shanker Khudia Xiaohan Wei Ellie Wen
+	High-performance, Distributed Training of Large-scale Deep Learning Recommendation Models.	2021	Dheevatsa Mudigere Yuchen Hao Jianyu Huang Andrew Tulloch Srinivas Sridharan Xing Liu Mustafa Özdal Jade Nie Jongsoo Park Liang Luo
+	FBGEMM: Enabling High-Performance Low-Precision Deep Learning Inference	2021	Daya Shanker Khudia Jianyu Huang Protonu Basu Summer Deng Haixin Liu Jongsoo Park Mikhail Smelyanskiy
+	Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale	2021	Zhaoxia Deng Jongsoo Park Ping Tang Haixin Liu Yang Hector Yuen Jianyu Huang Daya Shanker Khudia Xiaohan Wei
+	Supporting Massive DLRM Inference Through Software Defined Memory	2021	Ehsan K. Ardestani Changkyu Kim Seungjae Lee Luoshang Pan Valmiki Rampersad Jens Axboe Banit Agrawal Fuxun Yu Ansha Yu Trung Le
+	Software-Hardware Co-design for Fast and Scalable Training of Deep Learning Recommendation Models	2021	Dheevatsa Mudigere Yuchen Hao Jianyu Huang Zhihao Jia Andrew Tulloch Srinivas Sridharan Xing Liu Mustafa Özdal Jade Nie Jongsoo Park
+ PDF Chat	RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing	2020	Liu Ke Udit Gupta Benjamin Youngjae Cho David Brooks Vikas Chandra Utku Diril Amin Firoozshahian Kim Hazelwood Bill Jia Hsien-Hsin S. Lee
+ PDF Chat	The Architectural Implications of Facebook's DNN-Based Personalized Recommendation	2020	Udit Gupta Carole-Jean Wu Xiaodong Wang Maxim Naumov Brandon Reagen David Brooks Bradford Cottel Kim Hazelwood Mark Hempstead Bill Jia
+	Deep Learning Training in Facebook Data Centers: Design of Scale-up and Scale-out Systems	2020	Maxim Naumov John Kim Dheevatsa Mudigere Srinivas Sridharan Xiaodong Wang Whitney Zhao Serhat Yılmaz Changkyu Kim Hector Yuen Mustafa Özdal
+	The Architectural Implications of Facebook's DNN-based Personalized Recommendation	2019	Udit Gupta Carole-Jean Wu Xiaodong Wang Maxim Naumov Brandon Reagen David Brooks Bradford Cottel Kim Hazelwood Bill Jia Hsien-Hsin S. Lee
+	RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing	2019	Liu Ke Udit Gupta Carole-Jean Wu Benjamin Youngjae Cho Mark Hempstead Brandon Reagen Xuan Zhang David Brooks Vikas Chandra Utku Diril
+	Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications	2018	Jongsoo Park Maxim Naumov Protonu Basu Summer Deng Aravind Kalaiah Daya Shanker Khudia James Law Parth Malani Andrey Malevich Satish Nadathur
+	Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications	2018	Jongsoo Park Maxim Naumov Protonu Basu Summer Deng Aravind Kalaiah Daya Shanker Khudia James Law Parth Malani Andrey Malevich Satish Nadathur
+	Practical optimization for hybrid quantum-classical algorithms	2017	Gian Giacomo Guerreschi Mikhail Smelyanskiy
+ PDF Chat	High Performance Emulation of Quantum Circuits	2016	Thomas Häner Damian S. Steiger Mikhail Smelyanskiy Matthias Troyer
+	On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima	2016	Nitish Shirish Keskar Dheevatsa Mudigere Jorge Nocedal Mikhail Smelyanskiy Ping Tang
+	Large Scale Distributed Hessian-Free Optimization for Deep Neural Network.	2016	Xi He Dheevatsa Mudigere Mikhail Smelyanskiy Martin Takáč
+ PDF Chat	Error Sensitivity to Environmental Noise in Quantum Circuits for Chemical State Preparation	2016	Nicolas P. D. Sawaya Mikhail Smelyanskiy Jarrod R. McClean Alán Aspuru‐Guzik
+	Error Sensitivity to Environmental Noise in Quantum Circuits for Chemical State Preparation	2016	Nicolas P. D. Sawaya Mikhail Smelyanskiy Jarrod R. McClean Alán Aspuru‐Guzik
+	qHiPSTER: The Quantum High Performance Software Testing Environment	2016	Mikhail Smelyanskiy Nicolas P. D. Sawaya Alán Aspuru‐Guzik
+	Distributed Hessian-Free Optimization for Deep Neural Network	2016	Xi He Dheevatsa Mudigere Mikhail Smelyanskiy Martin Takáč
+	Error Sensitivity to Environmental Noise in Quantum Circuits for Chemical State Preparation	2016	Nicolas P. D. Sawaya Mikhail Smelyanskiy Jarrod R. McClean Alán Aspuru‐Guzik
+	On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima	2016	Nitish Shirish Keskar Dheevatsa Mudigere Jorge Nocedal Mikhail Smelyanskiy Ping Tang
+ PDF Chat	Lattice QCD with Domain Decomposition on Intel&#x00AE; Xeon Phi Co-Processors	2014	Simon Heybrock Bálint Joó Dhiraj Kalamkar Mikhail Smelyanskiy Karthikeyan Vaidyanathan Tilo Wettig Pradeep Dubey
+ PDF Chat	An algorithm for the fast solution of symmetric linear complementarity problems	2008	José Luis Morales Jorge Nocedal Mikhail Smelyanskiy

Common Coauthors

Coauthor	Papers Together
Maxim Naumov	15
Dheevatsa Mudigere	14
Bill Jia	9
Jongsoo Park	9
Hector Yuen	8
Xiaodong Wang	8
Carole-Jean Wu	7
Kim Hazelwood	6
Daya Shanker Khudia	6
Ellie Wen	6
Changkyu Kim	6
Jianyu Huang	5
Ping Tang	5
Ehsan K. Ardestani	5
Brandon Reagen	4
Jiyan Yang	4
David Brooks	4
Andrey Malevich	4
Alán Aspuru‐Guzik	4
Nicolas P. D. Sawaya	4
Udit Gupta	4
Hsien-Hsin S. Lee	4
Mustafa Özdal	4
Xuan Zhang	4
Srinivas Sridharan	4
Whitney Zhao	4
Martin Schatz	4
Utku Diril	4
Krishnakumar Nair	4
Krishna Dhulipala	3
Assaf Eisenman	3
P. Bhattacharya	3
Mahmoud khorashadi	3
Kiran Kumar Matam	3
Yinbin Ma	3
Leon Gao	3
Andrew Tulloch	3
Jorge Nocedal	3
Jiyuan Qian	3
Jade Nie	3
Raghuraman Krishnamoorthi	3
Summer Deng	3
Adi Gangidi	3
Dimitry Melts	3
Jarrod R. McClean	3
Serhat Yılmaz	3
Bharath Muthiah	3
Sam Naghshineh	3
Dhruv Choudhary	3
Satish Nadathur	3

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Deep Learning Recommendation Model for Personalization and Recommendation Systems	2019	Maxim Naumov Dheevatsa Mudigere Hao-Jun Michael Shi Jianyu Huang Narayanan Sundaraman Jongsoo Park Xiaodong Wang Udit Gupta Carole-Jean Wu Alisson G. Azzolini	10
+	In-Datacenter Performance Analysis of a Tensor Processing Unit	2017	Norman P. Jouppi Cliff Young Nishant Patil David A. Patterson Gaurav Agrawal Raminder Bajwa S. C. Bates Suresh Bhatia Nan Boden Al Borchers	8
+	Bandana: Using Non-volatile Memory for Storing Deep Learning Models	2018	Assaf Eisenman Maxim Naumov Darryl Gardner Misha Smelyanskiy Sergey Pupyrev Kim Hazelwood Asaf Cidon Sachin Katti	7
+ PDF Chat	The Architectural Implications of Facebook's DNN-Based Personalized Recommendation	2020	Udit Gupta Carole-Jean Wu Xiaodong Wang Maxim Naumov Brandon Reagen David Brooks Bradford Cottel Kim Hazelwood Mark Hempstead Bill Jia	7
+	Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications	2018	Jongsoo Park Maxim Naumov Protonu Basu Summer Deng Aravind Kalaiah Daya Shanker Khudia James Law Parth Malani Andrey Malevich Satish Nadathur	6
+	Wide & Deep Learning for Recommender Systems	2016	Heng-Tze Cheng Levent Koç Jeremiah Harmsen Tal Shaked Tushar Chandra Hrishi Aradhye Glen Anderson Greg S. Corrado Wei Koong Chai Mustafa Ispir	5
+	MLPerf Training Benchmark	2019	Peter Mattson Christine Cheng Cody Coleman Greg Diamos Paulius Micikevicius David E. Patterson Hanlin Tang Gu-Yeon Wei Peter Bailis Victor Bittorf	5
+ PDF Chat	Fathom: reference workloads for modern deep learning methods	2016	Robert Adolf Saketh Rama Brandon Reagen Gu-Yeon Wei David Brooks	4
+ PDF Chat	MLPerf Inference Benchmark	2020	Vijay Janapa Reddi Christine Cheng David Kanter Peter Mattson Guenther Schmuelling Carole-Jean Wu Brian A. Anderson Maximilien Breughe Mark Charlebois William Chou	4
+ PDF Chat	Deep Interest Network for Click-Through Rate Prediction	2018	Guorui Zhou Xiaoqiang Zhu Chenru Song Ying Fan Zhu Han Xiao Ma Yanghui Yan Junqi Jin Han Li Kun Gai	4
+	Post-Training 4-bit Quantization on Embedding Tables	2019	Hui Guan Andrey Malevich Jiyan Yang Jongsoo Park Hector Yuen	4
+ PDF Chat	Learning from eXtreme Bandit Feedback	2021	Romain Lopez Inderjit S. Dhillon Michael I. Jordan	4
+	Deep Learning Training in Facebook Data Centers: Design of Scale-up and Scale-out Systems	2020	Maxim Naumov John Kim Dheevatsa Mudigere Srinivas Sridharan Xiaodong Wang Whitney Zhao Serhat Yılmaz Changkyu Kim Hector Yuen Mustafa Özdal	4
+ PDF Chat	Chemical basis of Trotter-Suzuki errors in quantum chemistry simulation	2015	Ryan Babbush Jarrod R. McClean Dave Wecker Alán Aspuru‐Guzik Nathan Wiebe	3
+ PDF Chat	In-Datacenter Performance Analysis of a Tensor Processing Unit	2017	Norman P. Jouppi Cliff Young Nishant Patil David A. Patterson Gaurav Agrawal Raminder Bajwa S. C. Bates Suresh Bhatia Nan Boden Al Borchers	3
+	Deep Residual Learning for Image Recognition	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	3
+	MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications	2017	Andrew Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand Marco Andreetto Hartwig Adam	3
+ PDF Chat	Simulated Quantum Computation of Molecular Energies	2005	Alán Aspuru‐Guzik Anthony D. Dutoi Peter J. Love Martin Head‐Gordon	3
+	Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour	2017	Priya Goyal Piotr Dollár Ross Girshick Pieter Noordhuis Lukasz Wesolowski Aapo Kyrola Andrew Tulloch Yangqing Jia Kaiming He	3
+	Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications	2018	Jongsoo Park Maxim Naumov Protonu Basu Summer Deng Aravind Kalaiah Daya Shanker Khudia James Law Parth Malani Andrey Malevich Satish Nadathur	3
+	Neural Collaborative Filtering	2017	Xiangnan He Lizi Liao Hanwang Zhang Liqiang Nie Xia Hu Tat‐Seng Chua	3
+	Horovod: fast and easy distributed deep learning in TensorFlow	2018	Alexander Sergeev Mike Del Balso	3
+	Quantizing deep convolutional networks for efficient inference: A whitepaper	2018	Raghuraman Krishnamoorthi	3
+	Wide & Deep Learning for Recommender Systems	2016	Heng-Tze Cheng Levent Koç Jeremiah Harmsen Tal Shaked Tushar Chandra Hrishi Aradhye Glen Anderson Greg S. Corrado Wei Koong Chai Mustafa Ispir	3
+	Language Models are Few-Shot Learners	2020	T. B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell	3
+	Distributed Deep Learning Using Synchronous Stochastic Gradient Descent	2016	Dipankar Das Sasikanth Avancha Dheevatsa Mudigere Karthikeyan Vaidynathan Srinivas Sridharan Dhiraj Kalamkar Bharat Kaul Pradeep Dubey	3
+	FBGEMM: Enabling High-Performance Low-Precision Deep Learning Inference	2021	Daya Shanker Khudia Jianyu Huang Protonu Basu Summer Deng Haixin Liu Jongsoo Park Mikhail Smelyanskiy	3
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	3
+	Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems	2020	Weijie Zhao Deping Xie Ronglai Jia Yulei Qian Ruiquan Ding Mingming Sun Ping Li	3
+	Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding	2015	Song Han Huizi Mao William J. Dally	3
+	TensorDIMM	2019	Youngeun Kwon Y. Lee Minsoo Rhu	3
+ PDF Chat	ImageNet Training in Minutes	2018	Yang You Zhao Zhang Cho‐Jui Hsieh James Demmel Kurt Keutzer	2
+ PDF Chat	Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks	2018	Minsoo Rhu Mike O’Connor Niladrish Chatterjee Jeff Pool Youngeun Kwon Stephen W. Keckler	2
+	Device Placement Optimization with Reinforcement Learning	2017	Azalia Mirhoseini Hieu Pham Quoc V. Le Benoit Steiner Rasmus Larsen Yuefeng Zhou Naveen Kumar Mohammad Norouzi Samy Bengio Jeff Dean	2
+ PDF Chat	Two-bit gates are universal for quantum computation	1995	David P. DiVincenzo	2
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	2
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	2
+	Same, Same But Different - Recovering Neural Network Quantization Error Through Weight Factorization	2019	Eldad Meller Alexander M. Finkel’stein Uri Almog Mark Grobman	2
+	On the Dimensionality of Embeddings for Sparse Features and Data	2019	Maxim Naumov	2
+	Scaling Distributed Machine Learning with In-Network Aggregation	2019	Amedeo Sapio Marco Canini Chen-Yu Ho Jacob Nelson Panos Kalnis Changhoon Kim Arvind Krishnamurthy Masoud Moshref Dan R. K. Ports Peter Richtárik	2
+	Beyond Data and Model Parallelism for Deep Neural Networks	2018	Zhihao Jia Matei Zaharia Alex Aiken	2
+ PDF Chat	You Only Look Once: Unified, Real-Time Object Detection	2016	Joseph Redmon Santosh Divvala Ross Girshick Ali Farhadi	2
+	3LC: Lightweight and Effective Traffic Compression for Distributed Machine Learning	2018	Hyeontaek Lim David G. Andersen Michael Kaminsky	2
+	DeepFM: An End-to-End Wide & Deep Learning Framework for CTR Prediction	2018	Huifeng Guo Ruiming Tang Yunming Ye Zhenguo Li Xiuqiang He Zhenhua Dong	2
+	Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm	2017	David Silver Thomas Hubert Julian Schrittwieser Ioannis Antonoglou Matthew Lai Arthur Guez Marc Lanctot Laurent Sifre Dharshan Kumaran Thore Graepel	2
+ PDF Chat	Rosetta	2018	Fedor Borisyuk Albert Gordo Viswanath Sivakumar	2
+	Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling	2014	Jun‐Young Chung Çaǧlar Gülçehre Kyunghyun Cho Yoshua Bengio	2
+ PDF Chat	Understanding the impact of precision quantization on the accuracy and energy of neural networks	2017	Soheil Hashemi Nicholas Anthony Hokchhay Tann R. Iris Bahar Sherief Reda	2
+ PDF Chat	Google’s Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation	2017	Melvin Johnson Mike Schuster Quoc V. Le Maxim Krikun Yonghui Wu Zhifeng Chen Nikhil Thorat Fernanda Viégas Martin Wattenberg Greg S. Corrado	2
+	Maximizing CNN Accelerator Efficiency Through Resource Partitioning	2017	Yongming Shen Michael Ferdman Peter Milder	2