Krishnakumar Nair - Facebook, Menlo Park, USA#TAB#

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MTIA: First Generation Silicon Targeting Meta's Recommendation Systems

Amin Firoozshahian, Joel Coburn,Roman Levenstein, Rakesh Nattoji, Ashwin Kamath, Olivia Wu, Gurdeepak Grewal, Harish Aepala, Bhasker Jakka, Bob Dreyer, Adam Hutchin,Utku Diril,Krishnakumar Nair,Ehsan K. Ardestani,Martin Schatz,Yuchen Hao,Rakesh Komuravelli, Kunming Ho, Sameer Abu Asal, Joe Shajrawi, Kevin Quinn, Nagesh Sreedhara, Pankaj Kansal, Willie Wei, Dheepak Jayaraman, Linda Cheng, Pritam Chopda, Eric Wang, Ajay Bikumandla, Arun Karthik Sengottuvel, Krishna Thottempudi, Ashwin Narasimha, Brian Dodds, Cao Gao, Jiyuan Zhang, Mohammad Al-Sanabani, Ana Zehtabioskui,Jordan Fix,Hangchen Yu,Richard Li, Kaustubh Gondkar,Jack Montgomery, Mike Tsai, Saritha Dwarakapuram, Sanjay Desai, Nili Avidan, Poorvaja Ramani, Karthik Narayanan, Ajit Mathews, Sethu Gopal,Maxim Naumov,Vijay Rao, Krishna Noru, Harikrishna Reddy, Prahlad Venkatapuram,Alexis Bjorlin

PROCEEDINGS OF THE 2023 THE 50TH ANNUAL INTERNATIONAL SYMPOSIUM ON COMPUTER ARCHITECTURE, ISCA 2023pp.1120-1132, (2023)

引用7浏览0EI引用

Learning to Collide: Recommendation System Model Compression with Learned Hash Functions

Benjamin Ghaemmaghami,Mustafa Ozdal,Rakesh Komuravelli,Dmitriy Korchev,Dheevatsa Mudigere,Krishnakumar Nair,Maxim Naumov

CoRR (2022)

引用1浏览0EI引用

XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the Metaverse

Hyoukjun Kwon,Krishnakumar Nair,Jamin Seo,Jason Yik,Debabrata Mohapatra, Dongyuan Zhan,Jinook Song,Peter Capak,Peizhao Zhang,Peter Vajda,Colby R. Banbury,Mark Mazumder,Liangzhen Lai,Ashish Sirasao,Tushar Krishna,Harshit Khaitan,Vikas Chandra,Vijay Janapa Reddi

CoRR (2022)

引用20浏览0EI引用

Supporting Massive DLRM Inference Through Software Defined Memory

Ehsan K. Ardestani,Changkyu Kim,Seung Jae Lee, Luoshang Pan,Jens Axboe, Valmiki Rampersad, Banit Agrawal,Fuxun Yu,Ansha Yu,Trung Le,Hector Yuen,Dheevatsa Mudigere,Shishir Juluri, Akshat Nanda, Manoj Wodekar,Krishnakumar Nair,Maxim Naumov,Chris Petersen,Mikhail Smelyanskiy,Vijay Rao

2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS)（2022）

引用15浏览0EIWOS引用

High-performance, Distributed Training of Large-scale Deep Learning Recommendation Models

CoRR（2021）

引用11浏览0EI引用

Software-Hardware Co-design for Fast and Scalable Training of Deep Learning Recommendation Models

International Symposium on Computer Architecture (2021)

引用102浏览0EI引用

102

Check-N-Run: a Checkpointing System for Training Deep Learning Recommendation Models

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

arXivorg（2020）

引用6浏览0EI引用

Scalable Distributed Training of Recommendation Models: an ASTRA-SIM + NS3 Case-Study with TCP/IP Transport

Saeed Rashidi,Pallavi Shurpali,Srinivas Sridharan, Naader Hassani,Dheevatsa Mudigere,Krishnakumar Nair, Misha Smelyanski,Tushar Krishna

IEEE Symposium on High-Performance Interconnects（2020）

引用10浏览0EIWOS引用

Deep Learning Training in Facebook Data Centers: Design of Scale-up and Scale-out Systems

Naumov Maxim,Kim John,Mudigere Dheevatsa,Sridharan Srinivas,Wang Xiaodong,Zhao Whitney,Yilmaz Serhat,Kim Changkyu,Yuen Hector,Ozdal Mustafa,Nair Krishnakumar,Gao Isabel,Su Bor-Yiing,Yang Jiyan,Smelyanskiy Mikhail

CoRR (2020)

引用68浏览0EI引用

Speaker Adaptive Audio-Visual Fusion for the Open-Vocabulary Section of AVICAR

Leda Sari,Mark Hasegawa-Johnson, S. Kumaran,Georg Stemmer,Krishnakumar N. Nair

19TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2018), VOLS 1-6 SPEECH RESEARCH FOR EMERGING MARKETS IN MULTILINGUAL SOCIETIESpp.3524-3528, (2018)

引用2浏览0EI引用

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