Luigi Nardi
Luigi Nardi
Assistant Professor in ML at Lund University; Research Scientist at Stanford
Verified email at - Homepage
Cited by
Cited by
Dawnbench: An end-to-end deep learning benchmark and competition
C Coleman, D Narayanan, D Kang, T Zhao, J Zhang, L Nardi, P Bailis, ...
Training 100 (101), 102, 2017
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
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
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
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, ...
Proceedings of the 2016 International Conference on Parallel Architectures …, 2016
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
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
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
A numbering algorithm for finite element on extruded meshes which avoids the unstructured mesh penalty
GT Bercea, ATT McRae, DA Ham, L Mitchell, F Rathgeber, L Nardi, ...
preprint, arxiv. org/abs/1604.05937 [cs. MS], 2016
Practical design space exploration
L Nardi, D Koeplinger, K Olukotun
2019 IEEE 27th International Symposium on Modeling, Analysis, and Simulation …, 2019
YAO: a software for variational data assimilation using numerical models
L Nardi, C Sorror, F Badran, S Thiria
International Conference on Computational Science and Its Applications, 621-636, 2009
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
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
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
YAO: a generator of parallel code for variational data assimilation applications
L Nardi, F Badran, P Fortin, S Thiria
2012 IEEE 14th International Conference on High Performance Computing and …, 2012
Diplomat: Mapping of multi-kernel applications using a static dataflow abstraction
B Bodin, L Nardi, PHJ Kelly, MFP O’Boyle
2016 IEEE 24th International Symposium on Modeling, Analysis and Simulation …, 2016
Formalisation et automatisation de YAO, générateur de code pour l’assimilation variationnelle de donnees
L Nardi
Conservatoire national des arts et metiers-CNAM, 2011
Algorithmic Performance-Accuracy Trade-off in 3D Vision Applications
B Bodin, L Nardi, H Wagstaff, PHJ Kelly, M O'Boyle
2018 IEEE International Symposium on Performance Analysis of Systems and …, 2018
Prior-guided Bayesian Optimization
A Souza, L Nardi, L Oliveira, K Olukotun, M Lindauer, F Hutter
Deepfreak: learning crystallography diffraction patterns with automated machine learning
A Souza, LB Oliveira, S Hollatz, M Feldman, K Olukotun, JM Holton, ...
arXiv preprint arXiv:1904.11834, 2019
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