113 citations · 294 across the 24 of their papers we have counts for
4 papers · 1 filter
Practical Design Space Exploration
Luigi Nardi, David Koeplinger, Kunle Olukotun
Multi-objective optimization is a crucial matter in computer systems design space exploration because real-world applications often rely on a trade-off between several objectives.…
SLAMBench2: Multi-Objective Head-to-Head Benchmarking for Visual SLAM
Bruno Bodin, Harry Wagstaff, Sajad Saeedi +9
SLAM is becoming a key component of robotics and augmented reality (AR) systems. While a large number of SLAM algorithms have been presented, there has been little effort to unify…
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…
Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark
Cody Coleman, Daniel Kang, Deepak Narayanan +7
Researchers have proposed hardware, software, and algorithmic optimizations to improve the computational performance of deep learning. While some of these optimizations perform the…