21 citations · 26 across the 5 of their papers we have counts for
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cs.AR2023★ 2 cited
Performance Analysis of DNN Inference/Training with Convolution and non-Convolution Operations
Hadi Esmaeilzadeh, Soroush Ghodrati, Andrew B. Kahng +4
Today's performance analysis frameworks for deep learning accelerators suffer from two significant limitations. First, although modern convolutional neural network (CNNs) consist o…
cs.AR2021★ 2 cited
GNNIE: GNN Inference Engine with Load-balancing and Graph-Specific Caching
Sudipta Mondal, Susmita Dey Manasi, Kishor Kunal +2
Graph neural networks (GNN) analysis engines are vital for real-world problems that use large graph models. Challenges for a GNN hardware platform include the ability to (a) host a…