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Benjamin Rouxel
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2020 – today
- 2024
- [c20]Filippo Muzzini, Nicola Capodieci, Roberto Cavicchioli, Benjamin Rouxel:
High-Performance Feature Extraction for GPU -Accelerated ORB-SLAMx. DATE 2024: 1-2 - 2023
- [j2]Donato Ferraro
, Luca Palazzi
, Federico Gavioli
, Michele Guzzinati
, Andrea Bernardi
, Benjamin Rouxel
, Paolo Burgio
, Marco Solieri
:
Time-sensitive autonomous architectures. Real Time Syst. 59(4): 568-608 (2023) - [c19]Benjamin Rouxel, Christopher Brown
, Emad Ebeid
, Kerstin Eder, Heiko Falk, Clemens Grelck, Jesper Holst, Shashank Jadhav
, Yoann Marquer
, Marcos Martinez de Alejandro, Kris Nikov, Ali Sahafi
, Ulrik Pagh Schultz Lundquist
, Adam Seewald, Vangelis Vassalos, Simon Wegener
, Olivier Zendra:
The TeamPlay Project: Analysing and Optimising Time, Energy, and Security for Cyber-Physical Systems. DATE 2023: 1-6 - [c18]Sajid Mohamed, Gijs van der Veen, Hans Kuppens, Matias Vierimaa, Tassos Kanellos, Henry Stoutjesdijk, Riccardo Masiero, Kalle Määttä, Jan Wytze van der Weit, Gabriel Ribeiro, Ansgar Bergmann, Davide Colombo, Javier Arenas, Alfie Keary, Martin Goubej, Benjamin Rouxel, Pekka Kilpeläinen, Roberts Kadikis, Mikel Armendia, Petr Blaha, Joep Stokkermans, Martin Cech, Arend-Jan Beltman:
The IMOCO4.E reference framework for intelligent motion control systems. ETFA 2023: 1-8 - [c17]Alessio Masola
, Nicola Capodieci
, Roberto Cavicchioli, Ignacio Sanudo Olmedo, Benjamin Rouxel:
Memory-Aware Latency Prediction Model for Concurrent Kernels in Partitionable GPUs: Simulations and Experiments. JSSPP 2023: 46-73 - [c16]Alessio Masola, Nicola Capodieci
, Benjamin Rouxel, Giorgia Franchini
, Roberto Cavicchioli:
Machine Learning Techniques for Understanding and Predicting Memory Interference in CPU-GPU Embedded Systems. RTCSA 2023: 147-156 - [c15]Filippo Muzzini
, Nicola Capodieci
, Roberto Cavicchioli
, Benjamin Rouxel
:
Brief Announcement: Optimized GPU-accelerated Feature Extraction for ORB-SLAM Systems. SPAA 2023: 299-302 - [i2]Benjamin Rouxel, Christopher Brown, Emad Ebeid, Kerstin Eder, Heiko Falk, Clemens Grelck, Jesper Holst, Shashank Jadhav, Yoann Marquer, Marcos Martinez de Alejandro, Kris Nikov, Ali Sahafi, Ulrik Pagh Schultz Lundquist, Adam Seewald, Vangelis Vassalos, Simon Wegener, Olivier Zendra:
The TeamPlay Project: Analysing and Optimising Time, Energy, and Security for Cyber-Physical Systems. CoRR abs/2306.06115 (2023) - 2021
- [c14]Lukas Miedema, Benjamin Rouxel, Clemens Grelck:
Strategy Switching: Smart Fault-tolerance for Resource-constrained Real-time Applications. CERCIRAS 2021 - [c13]Julius Roeder, Benjamin Rouxel, Clemens Grelck:
Scheduling DAGs of Multi-Version Multi-Phase Tasks on Heterogeneous Real-Time Systems. MCSoC 2021: 54-61 - [c12]Lukas Miedema
, Benjamin Rouxel, Clemens Grelck:
Task-level Redundancy vs Instruction-level Redundancy against Single Event Upsets in Real-time DAG scheduling. MCSoC 2021: 373-380 - [c11]Benjamin Rouxel, Sebastian Altmeyer, Clemens Grelck:
YASMIN: a real-time middleware for COTS heterogeneous platforms. Middleware 2021: 298-309 - [c10]Julius Roeder, Benjamin Rouxel, Sebastian Altmeyer, Clemens Grelck:
Energy-aware scheduling of multi-version tasks on heterogeneous real-time systems. SAC 2021: 501-510 - [i1]Benjamin Rouxel, Sebastian Altmeyer, Clemens Grelck:
YASMIN: a Real-time Middleware for COTS Heterogeneous Platforms. CoRR abs/2108.00730 (2021) - 2020
- [c9]Julius Roeder, Benjamin Rouxel, Clemens Grelck:
Q-learning for Statically Scheduling DAGs. IEEE BigData 2020: 5813-5815 - [c8]Julius Roeder, Benjamin Rouxel, Sebastian Altmeyer, Clemens Grelck:
Towards Energy-, Time- and Security-Aware Multi-core Coordination. COORDINATION 2020: 57-74 - [c7]Benjamin Rouxel, Ulrik Pagh Schultz
, Benny Akesson, Jesper Holst, Ole Jørgensen, Clemens Grelck:
PReGO: a generative methodology for satisfying real-time requirements on COTS-based systems: definition and experience report. GPCE 2020: 70-83
2010 – 2019
- 2019
- [c6]Benjamin Rouxel
, Stefanos Skalistis
, Steven Derrien, Isabelle Puaut
:
Hiding Communication Delays in Contention-Free Execution for SPM-Based Multi-Core Architectures. ECRTS 2019: 25:1-25:24 - [c5]Adam Seewald
, Ulrik Pagh Schultz
, Julius Roeder, Benjamin Rouxel, Clemens Grelck:
Component-based computation-energy modeling for embedded systems. SPLASH (Companion Volume) 2019: 5-6 - [c4]Martin Schoeberl
, Benjamin Rouxel, Isabelle Puaut:
A time-predictable branch predictor. SAC 2019: 607-616 - 2018
- [b1]Benjamin Rouxel:
Minimising communication costs impact when scheduling real-time applications on multi-core architectures. (Minimiser l'impact des communications lors de l'ordonnancement d'application temps-réels sur des architectures multi-cœurs). University of Rennes 1, France, 2018 - 2017
- [j1]Benjamin Rouxel, Steven Derrien, Isabelle Puaut:
Tightening Contention Delays While Scheduling Parallel Applications on Multi-core Architectures. ACM Trans. Embed. Comput. Syst. 16(5s): 164:1-164:20 (2017) - [c3]Benjamin Rouxel, Isabelle Puaut:
STR2RTS: Refactored StreamIT Benchmarks into Statically Analyzable Parallel Benchmarks for WCET Estimation & Real-Time Scheduling. WCET 2017: 1:1-1:12 - [c2]Damien Hardy, Benjamin Rouxel, Isabelle Puaut:
The Heptane Static Worst-Case Execution Time Estimation Tool. WCET 2017: 8:1-8:12 - 2015
- [c1]Guillaume Bonfante, José M. Fernandez
, Jean-Yves Marion, Benjamin Rouxel, Fabrice Sabatier, Aurélien Thierry:
CoDisasm: Medium Scale Concatic Disassembly of Self-Modifying Binaries with Overlapping Instructions. CCS 2015: 745-756
Coauthor Index
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last updated on 2024-06-18 21:19 CEST by the dblp team
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