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Contributor

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Viktor Prasanna
University of Southern California (USC)
Presentations
Workshop
An Efficient Distributed Graph Engine for Deep Learning on Graphs
Artificial Intelligence/Machine Learning
Graph Algorithms and Frameworks
W
Paper
Phases, Modalities, Spatial and Temporal Locality: Domain Specific ML Prefetcher for Accelerating Graph Analytics
Architecture and Networks
Data Movement and Memory
Graph Algorithms and Frameworks
Performance Measurement, Modeling, and Tools
Programming Frameworks and System Software
TP
Paper
DistTGL: Distributed Memory-Based Temporal Graph Neural Network Training
Artificial Intelligence/Machine Learning
TP
Workshop
Accelerating Deep Neural Network Guided MCTS Using Adaptive Parallelism
Algorithms
Applications
Architecture and Networks
W