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Found 5 papers, 0 papers with code
Network architecture search of X-ray based scientific applications
Our NAS and HPS of (1) BraggNN achieves a 31. 03\% improvement in bragg peak detection accuracy with a 87. 57\% reduction in model size, and (2) PtychoNN achieves a 16. 77\% improvement in model accuracy and a 12. 82\% reduction in model size when compared to the baseline PtychoNN model.
Reducing Inference Latency with Concurrent Architectures for Image Recognition
Satisfying the high computation demand of modern deep learning architectures is challenging for achieving low inference latency.
LCP: A Low-Communication Parallelization Method for Fast Neural Network Inference in Image Recognition
To benefit from available compute resources with low communication overhead, we propose the first DNN parallelization method for reducing the communication overhead in a distributed system.
Collaborative Execution of Deep Neural Networks on Internet of Things Devices
In this paper, we propose an approach that utilizes aggregated existing computing power of Internet of Things (IoT) devices surrounding an environment by creating a collaborative network.
Musical Chair: Efficient Real-Time Recognition Using Collaborative IoT Devices
Furthermore, in image recognition, Musical Chair achieves similar performance and saves dynamic energy.
