Alert button
Picture for Misha Smelyanskiy

Misha Smelyanskiy

Alert button

Differentiable NAS Framework and Application to Ads CTR Prediction

Oct 25, 2021
Ravi Krishna, Aravind Kalaiah, Bichen Wu, Maxim Naumov, Dheevatsa Mudigere, Misha Smelyanskiy, Kurt Keutzer

Figure 1 for Differentiable NAS Framework and Application to Ads CTR Prediction
Figure 2 for Differentiable NAS Framework and Application to Ads CTR Prediction
Figure 3 for Differentiable NAS Framework and Application to Ads CTR Prediction
Figure 4 for Differentiable NAS Framework and Application to Ads CTR Prediction
Viaarxiv icon

Check-N-Run: A Checkpointing System for Training Recommendation Models

Oct 17, 2020
Assaf Eisenman, Kiran Kumar Matam, Steven Ingram, Dheevatsa Mudigere, Raghuraman Krishnamoorthi, Murali Annavaram, Krishnakumar Nair, Misha Smelyanskiy

Figure 1 for Check-N-Run: A Checkpointing System for Training Recommendation Models
Figure 2 for Check-N-Run: A Checkpointing System for Training Recommendation Models
Figure 3 for Check-N-Run: A Checkpointing System for Training Recommendation Models
Figure 4 for Check-N-Run: A Checkpointing System for Training Recommendation Models
Viaarxiv icon

A Study of BFLOAT16 for Deep Learning Training

Jun 13, 2019
Dhiraj Kalamkar, Dheevatsa Mudigere, Naveen Mellempudi, Dipankar Das, Kunal Banerjee, Sasikanth Avancha, Dharma Teja Vooturi, Nataraj Jammalamadaka, Jianyu Huang, Hector Yuen, Jiyan Yang, Jongsoo Park, Alexander Heinecke, Evangelos Georganas, Sudarshan Srinivasan, Abhisek Kundu, Misha Smelyanskiy, Bharat Kaul, Pradeep Dubey

Figure 1 for A Study of BFLOAT16 for Deep Learning Training
Figure 2 for A Study of BFLOAT16 for Deep Learning Training
Figure 3 for A Study of BFLOAT16 for Deep Learning Training
Figure 4 for A Study of BFLOAT16 for Deep Learning Training
Viaarxiv icon

Deep Learning Recommendation Model for Personalization and Recommendation Systems

May 31, 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, Dmytro Dzhulgakov, Andrey Mallevich, Ilia Cherniavskii, Yinghai Lu, Raghuraman Krishnamoorthi, Ansha Yu, Volodymyr Kondratenko, Stephanie Pereira, Xianjie Chen, Wenlin Chen, Vijay Rao, Bill Jia, Liang Xiong, Misha Smelyanskiy

Figure 1 for Deep Learning Recommendation Model for Personalization and Recommendation Systems
Figure 2 for Deep Learning Recommendation Model for Personalization and Recommendation Systems
Figure 3 for Deep Learning Recommendation Model for Personalization and Recommendation Systems
Figure 4 for Deep Learning Recommendation Model for Personalization and Recommendation Systems
Viaarxiv icon

Bandana: Using Non-volatile Memory for Storing Deep Learning Models

Nov 15, 2018
Assaf Eisenman, Maxim Naumov, Darryl Gardner, Misha Smelyanskiy, Sergey Pupyrev, Kim Hazelwood, Asaf Cidon, Sachin Katti

Figure 1 for Bandana: Using Non-volatile Memory for Storing Deep Learning Models
Figure 2 for Bandana: Using Non-volatile Memory for Storing Deep Learning Models
Figure 3 for Bandana: Using Non-volatile Memory for Storing Deep Learning Models
Figure 4 for Bandana: Using Non-volatile Memory for Storing Deep Learning Models
Viaarxiv icon