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2020 – today
- 2024
[i5]Bo Adler, Niket Agarwal, Ashwath Aithal, Dong H. Anh, Pallab Bhattacharya, Annika Brundyn, Jared Casper, Bryan Catanzaro, Sharon Clay, Jonathan M. Cohen, Sirshak Das, Ayush Dattagupta, Olivier Delalleau, Leon Derczynski, Yi Dong, Daniel Egert, Ellie Evans, Aleksander Ficek, Denys Fridman, Shaona Ghosh, Boris Ginsburg, Igor Gitman, Tomasz Grzegorzek, Robert Hero, Jining Huang, Vibhu Jawa, Joseph Jennings, Aastha Jhunjhunwala, John Kamalu, Sadaf Khan, Oleksii Kuchaiev, Patrick LeGresley, Hui Li, Jiwei Liu, Zihan Liu, Eileen Long, Ameya Sunil Mahabaleshwarkar, Somshubra Majumdar, James Maki, Miguel Martinez, Maer Rodrigues de Melo, Ivan Moshkov, Deepak Narayanan, Sean Narenthiran, Jesus Navarro, Phong Nguyen, Osvald Nitski, Vahid Noroozi, Guruprasad Nutheti, Christopher Parisien, Jupinder Parmar, Mostofa Patwary, Krzysztof Pawelec, Wei Ping, Shrimai Prabhumoye, Rajarshi Roy, Trisha Saar, Vasanth Rao Naik Sabavat, Sanjeev Satheesh, Jane Polak Scowcroft, Jason Sewall, Pavel Shamis, Gerald Shen, Mohammad Shoeybi, Dave Sizer, Misha Smelyanskiy, Felipe Soares, Makesh Narsimhan Sreedhar, Dan Su, Sandeep Subramanian, Shengyang Sun, Shubham Toshniwal, Hao Wang, Zhilin Wang, Jiaxuan You, Jiaqi Zeng, Jimmy Zhang, Jing Zhang, Vivienne Zhang, Yian Zhang, Chen Zhu:
Nemotron-4 340B Technical Report. CoRR abs/2406.11704 (2024)- 2023
- [c16]Hasan Al Maruf
, Hao Wang, Abhishek Dhanotia, Johannes Weiner, Niket Agarwal, Pallab Bhattacharya, Chris Petersen, Mosharaf Chowdhury, Shobhit O. Kanaujia, Prakash Chauhan:
TPP: Transparent Page Placement for CXL-Enabled Tiered-Memory. ASPLOS (3) 2023: 742-755 - [c15]Geonhwa Jeong, Bikash Sharma, Nick Terrell, Abhishek Dhanotia, Zhiwei Zhao, Niket Agarwal, Arun Kejariwal, Tushar Krishna:
Characterization of Data Compression in Datacenters. ISPASS 2023: 1-12 - [c14]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:
RecD: Deduplication for End-to-End Deep Learning Recommendation Model Training Infrastructure. MLSys 2023 - [c13]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:
Tectonic-Shift: A Composite Storage Fabric for Large-Scale ML Training. USENIX ATC 2023: 433-449 - 2022
- [c12]Geet Sethi, Bilge Acun, Niket Agarwal, Christos Kozyrakis, Caroline Trippel, Carole-Jean Wu:
RecShard: statistical feature-based memory optimization for industry-scale neural recommendation. ASPLOS 2022: 344-358 - [c11]Johannes Weiner, Niket Agarwal, Dan Schatzberg, Leon Yang, Hao Wang, Blaise Sanouillet, Bikash Sharma, Tejun Heo, Mayank Jain, Chunqiang Tang, Dimitrios Skarlatos:
TMO: transparent memory offloading in datacenters. ASPLOS 2022: 609-621 - [c10]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:
Understanding data storage and ingestion for large-scale deep recommendation model training: industrial product. ISCA 2022: 1042-1057 - [c9]Geonhwa Jeong, Bikash Sharma, Nick Terrell, Abhishek Dhanotia, Zhiwei Zhao, Niket Agarwal, Arun Kejariwal, Tushar Krishna:
Understanding Data Compression in Warehouse-Scale Datacenter Services. ISPASS 2022: 221-223 - [i4]Geet Sethi, Bilge Acun, Niket Agarwal, Christos Kozyrakis, Caroline Trippel, Carole-Jean Wu:
RecShard: Statistical Feature-Based Memory Optimization for Industry-Scale Neural Recommendation. CoRR abs/2201.10095 (2022) - [i3]Hasan Al Maruf, Hao Wang, Abhishek Dhanotia, Johannes Weiner, Niket Agarwal, Pallab Bhattacharya, Chris Petersen, Mosharaf Chowdhury, Shobhit O. Kanaujia, Prakash Chauhan:
TPP: Transparent Page Placement for CXL-Enabled Tiered Memory. CoRR abs/2206.02878 (2022) - [i2]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:
RecD: Deduplication for End-to-End Deep Learning Recommendation Model Training Infrastructure. CoRR abs/2211.05239 (2022) - 2021
- [i1]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:
Understanding and Co-designing the Data Ingestion Pipeline for Industry-Scale RecSys Training. CoRR abs/2108.09373 (2021)
2010 – 2019
- 2012
- [c8]Jason H. Gao, Anirudh Sivaraman, Niket Agarwal, HaoQi Li, Li-Shiuan Peh:
DIPLOMA: Consistent and coherent shared memory over mobile phones. ICCD 2012: 371-378 - 2010
- [c7]Chia-Hsin Owen Chen, Niket Agarwal, Tushar Krishna, Kyung-Hoae Koo, Li-Shiuan Peh, Krishna Saraswat:
Physical vs. Virtual Express Topologies with Low-Swing Links for Future Many-Core NoCs. NOCS 2010: 173-180
2000 – 2009
- 2009
- [c6]Niket Agarwal, Li-Shiuan Peh, Niraj K. Jha:
In-Network Snoop Ordering (INSO): Snoopy coherence on unordered interconnects. HPCA 2009: 67-78 - [c5]Niket Agarwal, Tushar Krishna, Li-Shiuan Peh, Niraj K. Jha:
GARNET: A detailed on-chip network model inside a full-system simulator. ISPASS 2009: 33-42 - [c4]Niket Agarwal, Li-Shiuan Peh, Niraj K. Jha:
In-network coherence filtering: snoopy coherence without broadcasts. MICRO 2009: 232-243 - 2008
- [c3]Amit Kumar, Niket Agarwal, Li-Shiuan Peh, Niraj K. Jha:
A system-level perspective for efficient NoC design. IPDPS 2008: 1-5 - 2007
- [c2]Anish Muttreja, Niket Agarwal, Niraj K. Jha:
CMOS logic design with independent-gate FinFETs. ICCD 2007: 560-567 - [c1]Soumyajit Dey, Monu Kedia, Niket Agarwal, Anupam Basu:
Embedded Support Vector Machine : Architectural Enhancements and Evaluation. VLSI Design 2007: 685-690
Coauthor Index
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last updated on 2024-09-04 00:29 CEST by the dblp team
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