Corey Nolet

According to our database, Corey Nolet authored at least 8 papers between 2020 and 2023.

Collaborative distances:

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

2023

CAGRA: Highly Parallel Graph Construction and Approximate Nearest Neighbor Search for GPUs.

Hiroyuki Ootomo, Akira Naruse, Corey Nolet, Ray Wang, Tamas Feher, Yong Wang

CoRR, 2023

cuSLINK: Single-Linkage Agglomerative Clustering on the GPU.

Corey J. Nolet, Divye Gala, Alexandre Fender, Mahesh Doijade, Joe Eaton, Edward Raff, John Zedlewski, Brad Rees, Tim Oates

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

2022

LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning.

Jinhyun So, Corey J. Nolet, Chien-Sheng Yang, Songze Li, Qian Yu, Ramy E. Ali, Basak Guler, Salman Avestimehr

Proceedings of Machine Learning and Systems 2022, 2022

GPU Semiring Primitives for Sparse Neighborhood Methods.

Corey J. Nolet, Divye Gala, Edward Raff, Joe Eaton, Brad Rees, Tim Oates

Proceedings of Machine Learning and Systems 2022, 2022

Generating Permutations Using Hash Tables.

Oded Green, Corey Nolet, Joe Eaton

Proceedings of the IEEE High Performance Extreme Computing Conference, 2022

2021

Semiring Primitives for Sparse Neighborhood Methods on the GPU.

Corey J. Nolet, Divye Gala, Edward Raff, Joe Eaton, Brad Rees, John Zedlewski, Tim Oates

CoRR, 2021

Bringing UMAP Closer to the Speed of Light with GPU Acceleration.

Corey J. Nolet, Victor Lafargue, Edward Raff, Thejaswi Nanditale, Tim Oates, John Zedlewski, Joshua Patterson

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Machine Learning in Python: Main Developments and Technology Trends in Data Science, Machine Learning, and Artificial Intelligence.

Sebastian Raschka, Joshua Patterson, Corey Nolet

Inf., 2020