Kabir Nagrecha

According to our database, Kabir Nagrecha authored at least 11 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Saturn: An Optimized Data System for Multi-Large-Model Deep Learning Workloads.

Kabir Nagrecha, Arun Kumar

Proc. VLDB Endow., December, 2023

Saturn: Efficient Multi-Large-Model Deep Learning.

Kabir Nagrecha, Arun Kumar

CoRR, 2023

Saturn: An Optimized Data System for Large Model Deep Learning Workloads.

Kabir Nagrecha, Arun Kumar

CoRR, 2023

Systems for Parallel and Distributed Large-Model Deep Learning Training.

Kabir Nagrecha

CoRR, 2023

InTune: Reinforcement Learning-based Data Pipeline Optimization for Deep Recommendation Models.

Kabir Nagrecha, Lingyi Liu, Pablo Delgado, Prasanna Padmanabhan

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

2022

Multi-Pollutant Ground-level Air Pollution Prediction through Deep MeteoGCN-ConvLSTM.

Pratyush Muthukumar, Shaurya Pathak, Kabir Nagrecha, Hirad Hosseini, Dawn Comer, Navid Amini, Jeanne Holm, Mohammad Pourhomayoun

Proceedings of the International Conference on Computational Science and Computational Intelligence, 2022

2021

Hydra: A System for Large Multi-Model Deep Learning.

Kabir Nagrecha, Arun Kumar

CoRR, 2021

Model-Parallel Model Selection for Deep Learning Systems.

Kabir Nagrecha

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Gradient-Based Algorithms for Machine Teaching.

Pei Wang, Kabir Nagrecha, Nuno Vasconcelos

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Cerebro: A Layered Data Platform for Scalable Deep Learning.

Arun Kumar, Supun Nakandala, Yuhao Zhang, Side Li, Advitya Gemawat, Kabir Nagrecha

Proceedings of the 11th Conference on Innovative Data Systems Research, 2021

2020

Incremental and Approximate Computations for Accelerating Deep CNN Inference.

Supun Nakandala, Kabir Nagrecha, Arun Kumar, Yannis Papakonstantinou

ACM Trans. Database Syst., 2020