113 citations · 173 across the 7 of their papers we have counts for
7 papers
Tailoring Instantaneous Time Mirrors for Time Reversal Focusing in Absorbing Media
Crystal T. Wu, Nuno M. Nobre, Emmanuel Fort +2
The time reversal symmetry of the wave equation allows wave refocusing back at the source. However, this symmetry does not hold in lossy media. We present a new strategy to compens…
Energy Predictive Models for Convolutional Neural Networks on Mobile Platforms
Crefeda Faviola Rodrigues, Graham Riley, Mikel Lujan
Energy use is a key concern when deploying deep learning models on mobile and embedded platforms. Current studies develop energy predictive models based on application-level featur…
Navigating the Landscape for Real-time Localisation and Mapping for Robotics and Virtual and Augmented Reality
Sajad Saeedi, Bruno Bodin, Harry Wagstaff +23
Visual understanding of 3D environments in real-time, at low power, is a huge computational challenge. Often referred to as SLAM (Simultaneous Localisation and Mapping), it is cent…
Fine-Grained Energy and Performance Profiling framework for Deep Convolutional Neural Networks
Crefeda Faviola Rodrigues, Graham Riley, Mikel Lujan
There is a huge demand for on-device execution of deep learning algorithms on mobile and embedded platforms. These devices present constraints on the application due to limited res…
Vectorization of Hybrid Breadth First Search on the Intel Xeon Phi
Mireya Paredes, Graham Riley, Mikel Lujan
The Breadth-First Search (BFS) algorithm is an important building block for graph analysis of large datasets. The BFS parallelisation has been shown to be challenging because of it…
Breadth First Search Vectorization on the Intel Xeon Phi
Mireya Paredes, Graham Riley, Mikel Lujan
Breadth First Search (BFS) is a building block for graph algorithms and has recently been used for large scale analysis of information in a variety of applications including social…