Roger Waleffe

According to our database, Roger Waleffe authored at least 8 papers between 2020 and 2023.

Collaborative distances:

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

2023

Chameleon: a Heterogeneous and Disaggregated Accelerator System for Retrieval-Augmented Language Models.

Wenqi Jiang, Marco Zeller, Roger Waleffe, Torsten Hoefler, Gustavo Alonso

CoRR, 2023

Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning.

Patrik Okanovic, Roger Waleffe, Vasilis Mageirakos, Konstantinos E. Nikolakakis, Amin Karbasi, Dionysios S. Kalogerias, Nezihe Merve Gürel, Theodoros Rekatsinas

CoRR, 2023

MariusGNN: Resource-Efficient Out-of-Core Training of Graph Neural Networks.

Roger Waleffe, Jason Mohoney, Theodoros Rekatsinas, Shivaram Venkataraman

Proceedings of the Eighteenth European Conference on Computer Systems, 2023

2022

Marius++: Large-Scale Training of Graph Neural Networks on a Single Machine.

Roger Waleffe, Jason Mohoney, Theodoros Rekatsinas, Shivaram Venkataraman

CoRR, 2022

2021

Demonstration of Marius: Graph Embeddings with a Single Machine.

Anders Carlsson, Anze Xie, Jason Mohoney, Roger Waleffe, Shanan Peters, Theodoros Rekatsinas, Shivaram Venkataraman

Proc. VLDB Endow., 2021

Learning Massive Graph Embeddings on a Single Machine.

Jason Mohoney, Roger Waleffe, Yiheng Xu, Theodoros Rekatsinas, Shivaram Venkataraman

CoRR, 2021

Marius: Learning Massive Graph Embeddings on a Single Machine.

Jason Mohoney, Roger Waleffe, Henry Xu, Theodoros Rekatsinas, Shivaram Venkataraman

Proceedings of the 15th USENIX Symposium on Operating Systems Design and Implementation, 2021

2020

Principal Component Networks: Parameter Reduction Early in Training.

Roger Waleffe, Theodoros Rekatsinas

CoRR, 2020