14 citations · 21 across the 3 of their papers we have counts for
3 papers
Optimizing Deep Learning Inference on Embedded Systems Through Adaptive Model Selection
Vicent Sanz Marco, Ben Taylor, Zheng Wang +1
Deep neural networks ( DNNs ) are becoming a key enabling technology for many application domains. However, on-device inference on battery-powered, resource-constrained embedding s…
Adaptive Selection of Deep Learning Models on Embedded Systems
Ben Taylor, Vicent Sanz Marco, Willy Wolff +2
The recent ground-breaking advances in deep learning networks ( DNNs ) make them attractive for embedded systems. However, it can take a long time for DNNs to make an inference on…
Improving Spark Application Throughput Via Memory Aware Task Co-location: A Mixture of Experts Approach
Vicent Sanz Marco, Ben Taylor, Barry Porter +1
Data analytic applications built upon big data processing frameworks such as Apache Spark are an important class of applications. Many of these applications are not latency-sensiti…