Dawnbench: An end-to-end deep learning benchmark and competition C Coleman, D Narayanan, D Kang, T Zhao, J Zhang, L Nardi, P Bailis, ...
NIPS ML Systems Workshop 100 (101), 102, 2017
385 2017 Spatial: A language and compiler for application accelerators D Koeplinger, M Feldman, R Prabhakar, Y Zhang, S Hadjis, R Fiszel, ...
Proceedings of the 39th ACM SIGPLAN Conference on Programming Language …, 2018
252 2018 Introducing SLAMBench, a performance and accuracy benchmarking methodology for SLAM L Nardi, B Bodin, MZ Zia, J Mawer, A Nisbet, PHJ Kelly, AJ Davison, ...
2015 IEEE international conference on robotics and automation (ICRA), 5783-5790, 2015
195 2015 Practical design space exploration L Nardi, D Koeplinger, K Olukotun
2019 IEEE 27th International Symposium on Modeling, Analysis, and Simulation …, 2019
146 * 2019 Analysis of dawnbench, a time-to-accuracy machine learning performance benchmark C Coleman, D Kang, D Narayanan, L Nardi, T Zhao, J Zhang, P Bailis, ...
ACM SIGOPS Operating Systems Review 53 (1), 14-25, 2019
141 2019 Efficient octree-based volumetric SLAM supporting signed-distance and occupancy mapping E Vespa, N Nikolov, M Grimm, L Nardi, PHJ Kelly, S Leutenegger
IEEE Robotics and Automation Letters 3 (2), 1144-1151, 2018
99 2018 Slambench2: Multi-objective head-to-head benchmarking for visual slam B Bodin, H Wagstaff, S Saecdi, L Nardi, E Vespa, J Mawer, A Nisbet, ...
2018 IEEE International Conference on Robotics and Automation (ICRA), 3637-3644, 2018
75 2018 Integrating algorithmic parameters into benchmarking and design space exploration in 3D scene understanding B Bodin, L Nardi, MZ Zia, H Wagstaff, G Sreekar Shenoy, M Emani, ...
International Conference on Parallel Architectures and Compilation (PACT), 57-69, 2016
64 2016 C Hvarfner, D Stoll, A Souza, M Lindauer, F Hutter, L Nardi
International Conference on Learning Representations (ICLR), 2022
62 2022 Navigating the landscape for real-time localization and mapping for robotics and virtual and augmented reality S Saeedi, B Bodin, H Wagstaff, A Nisbet, L Nardi, J Mawer, N Melot, ...
Proceedings of the IEEE 106 (11), 2020-2039, 2018
57 2018 Bayesian optimization with a prior for the optimum A Souza, L Nardi, LB Oliveira, K Olukotun, M Lindauer, F Hutter
Machine Learning and Knowledge Discovery in Databases. Research Track …, 2021
53 * 2021 A structure-exploiting numbering algorithm for finite elements on extruded meshes, and its performance evaluation in Firedrake GT Bercea, ATT McRae, DA Ham, L Mitchell, F Rathgeber, L Nardi, ...
Geoscientific Model Development 9 (10), 3803-3815, 2016
45 * 2016 Comparative Design Space Exploration of Dense and Semi-Dense SLAM MZ Zia, L Nardi, A Jack, E Vespa, B Bodin, PHJ Kelly, AJ Davison
International Conference on Robotics and Automation (ICRA), 2016
38 2016 Application-oriented design space exploration for SLAM algorithms S Saeedi, L Nardi, E Johns, B Bodin, PHJ Kelly, AJ Davison
2017 IEEE International Conference on Robotics and Automation (ICRA), 5716-5723, 2017
37 2017 YAO: a software for variational data assimilation using numerical models L Nardi, C Sorror, F Badran, S Thiria
Computational Science and Its Applications–ICCSA 2009: International …, 2009
29 2009 Algorithmic performance-accuracy trade-off in 3d vision applications using hypermapper L Nardi, B Bodin, S Saeedi, E Vespa, AJ Davison, PHJ Kelly
2017 IEEE International Parallel and Distributed Processing Symposium …, 2017
28 2017 Joint entropy search for maximally-informed Bayesian optimization C Hvarfner, F Hutter, L Nardi
Advances in Neural Information Processing Systems 35, 11494-11506, 2022
26 2022 Skill-based multi-objective reinforcement learning of industrial robot tasks with planning and knowledge integration M Mayr, F Ahmad, K Chatzilygeroudis, L Nardi, V Krueger
2022 IEEE International Conference on Robotics and Biomimetics (ROBIO), 1995 …, 2022
26 2022 Increasing the scope as you learn: Adaptive Bayesian optimization in nested subspaces L Papenmeier, L Nardi, M Poloczek
Advances in Neural Information Processing Systems 35, 11586-11601, 2022
24 2022 Homunculus: Auto-generating efficient data-plane ml pipelines for datacenter networks T Swamy, A Zulfiqar, L Nardi, M Shahbaz, K Olukotun
Proceedings of the 28th ACM International Conference on Architectural …, 2023
22 2023 
Kunle OlukotunCadence Design Systems Professor of Computer Science, Stanford UniversityEmail verificata su stanford.edu
