Kabir Nagrecha

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 13

Top Topics

Top Venues

Proc. VLDB Endow.

ACM Trans. Database Syst.

Publications

Kabir Nagrecha, Arun Kumar
Saturn: An Optimized Data System for Multi-Large-Model Deep Learning Workloads. Proc. VLDB Endow. 17 (4) (2023)
Kabir Nagrecha
Systems for Parallel and Distributed Large-Model Deep Learning Training. CoRR (2023)
Kabir Nagrecha, Lingyi Liu, Pablo Delgado, Prasanna Padmanabhan
InTune: Reinforcement Learning-based Data Pipeline Optimization for Deep Recommendation Models. CoRR (2023)
Kabir Nagrecha, Arun Kumar
Saturn: An Optimized Data System for Large Model Deep Learning Workloads. CoRR (2023)
Kabir Nagrecha, Arun Kumar
Saturn: Efficient Multi-Large-Model Deep Learning. CoRR (2023)
Kabir Nagrecha, Lingyi Liu, Pablo Delgado, Prasanna Padmanabhan
InTune: Reinforcement Learning-based Data Pipeline Optimization for Deep Recommendation Models. RecSys (2023)
Pratyush Muthukumar, Shaurya Pathak, Kabir Nagrecha, Hirad Hosseini, Dawn Comer, Navid Amini, Jeanne Holm, Mohammad Pourhomayoun
Multi-Pollutant Ground-level Air Pollution Prediction through Deep MeteoGCN-ConvLSTM. CSCI (2022)
Kabir Nagrecha, Arun Kumar
Hydra: A System for Large Multi-Model Deep Learning. CoRR (2021)
Kabir Nagrecha
Model-Parallel Model Selection for Deep Learning Systems. CoRR (2021)
Kabir Nagrecha
Model-Parallel Model Selection for Deep Learning Systems. SIGMOD Conference (2021)
Arun Kumar, Supun Nakandala, Yuhao Zhang, Side Li, Advitya Gemawat, Kabir Nagrecha
Cerebro: A Layered Data Platform for Scalable Deep Learning. CIDR (2021)
Pei Wang, Kabir Nagrecha, Nuno Vasconcelos
Gradient-Based Algorithms for Machine Teaching. CVPR (2021)
Supun Nakandala, Kabir Nagrecha, Arun Kumar, Yannis Papakonstantinou
Incremental and Approximate Computations for Accelerating Deep CNN Inference. ACM Trans. Database Syst. 45 (4) (2020)