Niket Agarwal

24 papers A* 5A 1B 3C 2Misc 1Journal 8Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
VLM-AutoDrive: Post-Training Vision-Language Models for Safety-Critical Autonomous Driving Events.
CoRR
Mohammad Qazim Bhat, Yufan Huang, Niket Agarwal, Hao Wang, Michael Woods, John Kenyon, Tsung-Yi Lin, Xiaodong Yang, Ming-Yu Liu, Kevin Xie
2025 J jnl
Cosmos World Foundation Model Platform for Physical AI.
CoRR
Niket Agarwal, Arslan Ali, Maciej Bala, Yogesh Balaji, Erik Barker, Tiffany Cai, Prithvijit Chattopadhyay, Yongxin Chen, Yin Cui, Yifan Ding, Daniel Dworakowski, Jiaojiao Fan, Michele Fenzi, Francesco Ferroni, Sanja Fidler, Dieter Fox, Songwei Ge, Yunhao Ge, Jinwei Gu, Siddharth Gururani, Ethan He, Jiahui Huang, Jacob Samuel Huffman, Pooya Jannaty, Jingyi Jin, Seung Wook Kim, Gergely Klár, Grace Lam, Shiyi Lan, Laura Leal-Taixé, Anqi Li, Zhaoshuo Li, Chen-Hsuan Lin, Tsung-Yi Lin, Huan Ling, Ming-Yu Liu, Xian Liu, Alice Luo, Qianli Ma, Hanzi Mao, Kaichun Mo, Arsalan Mousavian, Seungjun Nah, Sriharsha Niverty, David Page, Despoina Paschalidou, Zeeshan Patel, Lindsey Pavao, Morteza Ramezanali, Fitsum Reda, Xiaowei Ren, Vasanth Rao Naik Sabavat, Ed Schmerling, Stella Shi, Bartosz Stefaniak, Shitao Tang, Lyne Tchapmi, Przemek Tredak, Wei-Cheng Tseng, Jibin Varghese, Hao Wang, Haoxiang Wang, Heng Wang, Ting-Chun Wang, Fangyin Wei, Xinyue Wei, Jay Zhangjie Wu, Jiashu Xu, Wei Yang, Yen-Chen Lin, Xiaohui Zeng, Yu Zeng, Jing Zhang, Qinsheng Zhang, Yuxuan Zhang, Qingqing Zhao, Artur Zólkowski
2025 J jnl
TMO: Transparent Memory Offloading in Datacenters.
Commun. ACM
Johannes Weiner, Niket Agarwal, Dan Schatzberg, Leon Yang, Hao Wang, Blaise Sanouillet, Bikash Sharma, Tejun Heo, Mayank Jain, Chunqiang Tang, Dimitrios Skarlatos
2025 J jnl
Training Video Foundation Models with NVIDIA NeMo.
CoRR
Zeeshan Patel, Ethan He, Parth Mannan, Xiaowei Ren, Ryan Wolf, Niket Agarwal, Jacob Samuel Huffman, Zhuoyao Wang, Carl Wang, Jack Chang, Yan Bai, Tommy Huang, Linnan Wang, Sahil Jain, Shanmugam Ramasamy, Joseph Jennings, Ekaterina Sirazitdinova, Oleg Sudakov, Mingyuan Ma, Bobby Chen, Forrest Lin, Hao Wang, Vasanth Rao Naik Sabavat, Sriharsha Niverty, Rong Ou, Pallab Bhattacharya, David Page, Nima Tajbakhsh, Ashwath Aithal
2023 B conf
Characterization of Data Compression in Datacenters.
ISPASS
Geonhwa Jeong, Bikash Sharma, Nick Terrell, Abhishek Dhanotia, Zhiwei Zhao, Niket Agarwal, Arun Kejariwal, Tushar Krishna
2023 — conf
RecD: Deduplication for End-to-End Deep Learning Recommendation Model Training Infrastructure.
MLSys
Mark Zhao, Dhruv Choudhary, Devashish Tyagi, Ajay Somani, Max Kaplan, Sung-Han Lin, Sarunya Pumma, Jongsoo Park, Aarti Basant, Niket Agarwal, Carole-Jean Wu, Christos Kozyrakis
2023 — conf
TPP: Transparent Page Placement for CXL-Enabled Tiered-Memory.
ASPLOS (3)
Hasan Al Maruf, Hao Wang, Abhishek Dhanotia, Johannes Weiner, Niket Agarwal, Pallab Bhattacharya, Chris Petersen, Mosharaf Chowdhury, Shobhit O. Kanaujia, Prakash Chauhan
2023 — conf
Tectonic-Shift: A Composite Storage Fabric for Large-Scale ML Training.
USENIX ATC
Mark Zhao, Satadru Pan, Niket Agarwal, Zhaoduo Wen, David Xu, Anand Natarajan, Pavan Kumar, Shiva Shankar P., Ritesh Tijoriwala, Karan Asher, Hao Wu, Aarti Basant, Daniel Ford, Delia David, Nezih Yigitbasi, Pratap Singh, Carole-Jean Wu
2022 J jnl
RecD: Deduplication for End-to-End Deep Learning Recommendation Model Training Infrastructure.
CoRR
Mark Zhao, Dhruv Choudhary, Devashish Tyagi, Ajay Somani, Max Kaplan, Sung-Han Lin, Sarunya Pumma, Jongsoo Park, Aarti Basant, Niket Agarwal, Carole-Jean Wu, Christos Kozyrakis
2022 J jnl
RecShard: Statistical Feature-Based Memory Optimization for Industry-Scale Neural Recommendation.
CoRR
Geet Sethi, Bilge Acun, Niket Agarwal, Christos Kozyrakis, Caroline Trippel, Carole-Jean Wu
2022 A* conf
RecShard: statistical feature-based memory optimization for industry-scale neural recommendation.
ASPLOS
Geet Sethi, Bilge Acun, Niket Agarwal, Christos Kozyrakis, Caroline Trippel, Carole-Jean Wu
2022 A* conf
TMO: transparent memory offloading in datacenters.
ASPLOS
Johannes Weiner, Niket Agarwal, Dan Schatzberg, Leon Yang, Hao Wang, Blaise Sanouillet, Bikash Sharma, Tejun Heo, Mayank Jain, Chunqiang Tang, Dimitrios Skarlatos
2022 J jnl
TPP: Transparent Page Placement for CXL-Enabled Tiered Memory.
CoRR
Hasan Al Maruf, Hao Wang, Abhishek Dhanotia, Johannes Weiner, Niket Agarwal, Pallab Bhattacharya, Chris Petersen, Mosharaf Chowdhury, Shobhit O. Kanaujia, Prakash Chauhan
2022 B conf
Understanding Data Compression in Warehouse-Scale Datacenter Services.
ISPASS
Geonhwa Jeong, Bikash Sharma, Nick Terrell, Abhishek Dhanotia, Zhiwei Zhao, Niket Agarwal, Arun Kejariwal, Tushar Krishna
2022 A* conf
Understanding data storage and ingestion for large-scale deep recommendation model training: industrial product.
ISCA
Mark Zhao, Niket Agarwal, Aarti Basant, Bugra Gedik, Satadru Pan, Mustafa Ozdal, Rakesh Komuravelli, Jerry Pan, Tianshu Bao, Haowei Lu, Sundaram Narayanan, Jack Langman, Kevin Wilfong, Harsha Rastogi, Carole-Jean Wu, Christos Kozyrakis, Parik Pol
2021 J jnl
Understanding and Co-designing the Data Ingestion Pipeline for Industry-Scale RecSys Training.
CoRR
Mark Zhao, Niket Agarwal, Aarti Basant, Bugra Gedik, Satadru Pan, Mustafa Ozdal, Rakesh Komuravelli, Jerry Pan, Tianshu Bao, Haowei Lu, Sundaram Narayanan, Jack Langman, Kevin Wilfong, Harsha Rastogi, Carole-Jean Wu, Christos Kozyrakis, Parik Pol
2012 C conf
DIPLOMA: Consistent and coherent shared memory over mobile phones.
ICCD
Jason H. Gao, Anirudh Sivaraman, Niket Agarwal, Haoqi Li, Li-Shiuan Peh
2010 — conf
Physical vs. Virtual Express Topologies with Low-Swing Links for Future Many-Core NoCs.
NOCS
Chia-Hsin Owen Chen, Niket Agarwal, Tushar Krishna, Kyung-Hoae Koo, Li-Shiuan Peh, Krishna Saraswat
2009 B conf
GARNET: A detailed on-chip network model inside a full-system simulator.
ISPASS
Niket Agarwal, Tushar Krishna, Li-Shiuan Peh, Niraj K. Jha
2009 A* conf
In-Network Snoop Ordering (INSO): Snoopy coherence on unordered interconnects.
HPCA
Niket Agarwal, Li-Shiuan Peh, Niraj K. Jha
2009 A* conf
In-network coherence filtering: snoopy coherence without broadcasts.
MICRO
Niket Agarwal, Li-Shiuan Peh, Niraj K. Jha
2008 A conf
A system-level perspective for efficient NoC design.
IPDPS
Amit Kumar, Niket Agarwal, Li-Shiuan Peh, Niraj K. Jha
2007 C conf
CMOS logic design with independent-gate FinFETs.
ICCD
Anish Muttreja, Niket Agarwal, Niraj K. Jha
2007 Misc conf
Embedded Support Vector Machine : Architectural Enhancements and Evaluation.
VLSI Design
Soumyajit Dey, Monu Kedia, Niket Agarwal, Anupam Basu