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03/09/2022
GPU-Initiated On-Demand High-Throughput Storage Access in the BaM System Architecture
Graphics Processing Units (GPUs) have traditionally relied on the host C...
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11/10/2021
Graph Neural Network Training with Data Tiering
Graph Neural Networks (GNNs) have shown success in learning from graph-s...
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03/04/2021
Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture
Graph Convolutional Networks (GCNs) are increasingly adopted in large-sc...
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01/20/2021
PyTorch-Direct: Enabling GPU Centric Data Access for Very Large Graph Neural Network Training with Irregular Accesses
With the increasing adoption of graph neural networks (GNNs) in the mach...
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08/24/2020
Tearing Down the Memory Wall
We present a vision for the Erudite architecture that redefines the comp...
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06/12/2020
EMOGI: Efficient Memory-access for Out-of-memory Graph-traversal In GPUs
Modern analytics and recommendation systems are increasingly based on gr...
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08/04/2019