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12/24/2021
A Neural Framework for Learning Subgraph and Graph Similarity Measures
Subgraph similarity search is a fundamental operator in graph analysis. ...
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12/22/2021
Rightsizing Clusters for Time-Limited Tasks
In conventional public clouds, designing a suitable initial cluster for ...
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09/16/2021
Efficient Scaling of Dynamic Graph Neural Networks
We present distributed algorithms for training dynamic Graph Neural Netw...
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10/10/2020
Decode efficient prefix codes
Data compression is used in a wide variety of tasks, including compressi...
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06/24/2020
Effective Elastic Scaling of Deep Learning Workloads
The increased use of deep learning (DL) in academia, government and indu...
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01/24/2020
PoWER-BERT: Accelerating BERT inference for Classification Tasks
BERT has emerged as a popular model for natural language understanding. ...
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04/25/2018
On Optimizing Distributed Tucker Decomposition for Sparse Tensors
The Tucker decomposition generalizes the notion of Singular Value Decomp...
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11/02/2017
Efficient Training of Convolutional Neural Nets on Large Distributed Systems
Deep Neural Networks (DNNs) have achieved im- pressive accuracy in many ...
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11/01/2017