5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2021
MG-GCN: Scalable Multi-GPU GCN Training Framework
Muhammed Fatih Balın, Kaan Sancak, Ümit V. Çatalyürek
Full batch training of Graph Convolutional Network (GCN) models is not feasible on a single GPU for large graphs containing tens of millions of vertices or more. Recent work has sh…
cs.DS2020★ 5 cited
On Symmetric Rectilinear Matrix Partitioning
Abdurrahman Yaşar, Muhammed Fatih Balin, Xiaojing An +2
Even distribution of irregular workload to processing units is crucial for efficient parallelization in many applications. In this work, we are concerned with a spatial partitionin…