Search

Your search keyword '"Sentieys, Olivier"' showing total 179 results
Start Over Author "Sentieys, Olivier" Publisher ieee
179 results on '"Sentieys, Olivier"'

7. Functional and Timing Implications of Transient Faults in Critical Systems

Author

Kritikakou, Angeliki, Nikolaou, Panagiota, Rodriguez-Ferrandez, Ivan, Paturel, Joseph, Kosmidis, Leonidas, Michael, Maria, Sentieys, Olivier, Steenari, David, Architectures matérielles spécialisées pour l’ère post loi-de-Moore (TARAN), Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-ARCHITECTURE (IRISA-D3), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), University of Cyprus [Nicosia] (UCY), Barcelona Supercomputing Center - Centro Nacional de Supercomputacion (BSC - CNS), Universitat Politècnica de Catalunya. Doctorat en Arquitectura de Computadors, Barcelona Supercomputing Center, and Universitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions

Subjects
Tolerància als errors (Informàtica), Vulnerability analysis, Real-time data processing, Fault tolerance, Fault-tolerant computing, Critical systems, Ordinadors immersos, Sistemes d', Embedded computer systems, Critical Systems, Transient faults Real-time systems Critical Systems Vulnerability analysis Fault tolerance, Transient faults, [INFO.INFO-ES]Computer Science [cs]/Embedded Systems, Informàtica::Arquitectura de computadors [Àrees temàtiques de la UPC], Temps real (Informàtica), Real-time systems
Abstract

Embedded systems in critical domains, such as auto-motive, aviation, space domains, are often required to guarantee both functional and temporal correctness. Considering transient faults, fault analysis and mitigation approaches are implemented at various levels of the system design, in order to maintain the functional correctness. However, transient faults and their mitigation methods have a timing impact, which can affect the temporal correctness of the system. In this work, we expose the functional and the timing implications of transient faults for critical systems. More precisely, we initially highlight the timing effect of transient faults occurring in the combinational and sequential logic of a processor. Furthermore, we propose a full stack vulnerability analysis that drives the design of selective hardware-based mitigation for real-time applications. Last, we study the timing impact of software-based reliability mitigation methods applied in a COTS GPU, using a fault tolerant middleware. This work has been partially funded by ANR-FASY (ANR-21-CE25-0008-01) and received funding by ESA through the 4000136514/21/NL/GLC/my co-funded PhD activity ”Mixed Software/Hardware-based Fault-tolerance Techniques for Complex COTS System-on-Chip in Radiation Environments” and the GPU4S (GPU for Space) project. Moreover, it was partially supported by the Spanish Ministry of Economy and Competitiveness under grants PID2019-107255GB-C21 and IJC2020-045931-I (Spanish State Research Agency / http://dx.doi.org/10.13039/501100011033), by the European Union’s Horizon 2020 grant agreement No 739551 (KIOS CoE) and from the Government of the Republic of Cyprus through the Cyprus Deputy Ministry of Research, Innovation and Digital Policy.

Published
2022

8. Evaluating the Impact of Mixed-Precision on Fault Propagation for Deep Neural Networks on GPUs

Author

dos Santos, Fernando Fernandes, Rech, Paolo, Kritikakou, Angeliki, Sentieys, Olivier, Architectures matérielles spécialisées pour l’ère post loi-de-Moore (TARAN), Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-ARCHITECTURE (IRISA-D3), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Dipartimento di Ingegneria Industriale [Trento], and University of Trento [Trento]

Subjects
[INFO.INFO-AR]Computer Science [cs]/Hardware Architecture [cs.AR], [INFO]Computer Science [cs], [INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC]
Abstract

International audience; Graphics Processing Units (GPUs) offer the possibility to execute floating-point operations (FLOP) with mixed-precisions such as INT8, FP16, Bfloat, FP32, and FP64. For Deep Neural Networks (DNNs), a reduced precision is likely to lower the execution time and power consumption as it requires a smaller hardware area and fewer clock cycles to perform instructions than the standard FP32 and FP64 precisions. As less area is needed for reduced precision, the circuit error rate is also expected to be lower [1]. NVIDIA GPUs also have tensor cores that perform matrix multiplication on hardware. The tensor cores are capable to perform a 4 ×4 FP16 matrix multiplication in one clock cycle [2]. The tensor cores can deliver up to 9 × higher performance than the software implementation of matrix multiplication (sequence of sums and multiplications) on GPUs and up to 47 ×than a CPU-based system [2].

Published
2022

10. Disentangled Loss for Low-Bit Quantization-Aware Training

Author

Allenet, Thibault, Briand, David, Bichler, Olivier, Sentieys, Olivier, Laboratoire Intelligence Artificielle Embarquée (LIAE), Université Paris-Saclay-Département Systèmes et Circuits Intégrés Numériques (DSCIN), Laboratoire d'Intégration des Systèmes et des Technologies (LIST (CEA)), Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Laboratoire d'Intégration des Systèmes et des Technologies (LIST (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Architectures matérielles spécialisées pour l’ère post loi-de-Moore (TARAN), Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-ARCHITECTURE (IRISA-D3), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), and ANR-18-CE23-0012,AdequateDL,Accélérateurs Approximatifs pour Apprentissage Profond(2018)

Subjects
[INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]
Abstract

International audience; Quantization-Aware Training (QAT) has recently showed a lot of potential for low-bit settings in the context of image classification. Approaches based on QAT are using the Cross Entropy Loss function which is the reference loss function in this domain. We investigate quantization-aware training with disentangled loss functions. We qualify a loss to disentangle as it encourages the network output space to be easily discriminated with linear functions. We introduce a new method, Disentangled Loss Quantization Aware Training, as our tool to empirically demonstrate that the quantization procedure benefits from those loss functions. Results show that the proposed method substantially reduces the loss in top-1 accuracy for low-bit quantization on CIFAR10, CIFAR100 and ImageNet. Our best result brings the top-1 Accuracy of a Resnet-18 from 63.1\% to 64.0\% with binary weights and 2-bit activations when trained on ImageNet.

Published
2022

18. Freezer: A Specialized NVM Backup Controller for Intermittently Powered Systems.

Author

Pala, Davide, Miro-Panades, Ivan, and Sentieys, Olivier

Subjects
NONVOLATILE memory, ENERGY harvesting, ELECTRIC power failures, RANDOM access memory, COMPUTER architecture, HUMAN activity recognition
Abstract

The explosion of IoT and wearable devices determined a rising attention toward energy harvesting as source for powering these systems. In this context, many applications cannot afford the presence of a battery because of size, weight, and cost issues. Therefore, due to the intermittent nature of ambient energy sources, these systems must be able to save and restore their state, in order to guarantee progress across power interruptions. In this work, we propose a specialized backup/restore controller that dynamically tracks the memory accesses during the execution of the program. The controller then commits the changes to a snapshot in a nonvolatile memory (NVM) when a power failure is detected. Our approach does not require complex hybrid memories and can be implemented with standard components. Results on a set of benchmarks show an average 8× reduction in backup size. Thanks to our dedicated controller, the backup time is further reduced by more than 100×, with an area and power overhead of only 0.4% and 0.8%, respectively, with respect to a low-end IoT node. [ABSTRACT FROM AUTHOR]

Published
2021
Full Text
View/download PDF

37. Energy-Quality-Time Optimized Task Mapping on DVFS-Enabled Multicores.

Author

Mo, Lei, Kritikakou, Angeliki, and Sentieys, Olivier

Subjects
MULTICORE processors, MIXED integer linear programming, EMBEDDED computer systems, ENERGY harvesting, WIRELESS sensor networks, COMPUTER algorithms, COMPUTER architecture
Abstract

Multicore architectures have great potential for energy-constrained embedded systems, such as energy-harvesting wireless sensor networks. Some embedded applications, especially the real-time ones, can be modeled as imprecise computation tasks. A task is divided into a mandatory subtask that provides a baseline quality-of-service (QoS) and an optional subtask that refines the result to increase the QoS. Combining dynamic voltage and frequency scaling, task allocation, and task adjustment, we can maximize the system QoS under real-time and energy supply constraints. However, the nonlinear and combinatorial nature of this problem makes it difficult to solve. This paper first formulates a mixed-integer nonlinear programming problem to concurrently carry out task-to-processor allocation, frequency-to-task assignment and optional task adjustment. We provide a mixed-integer linear programming form of this formulation without performance degradation and we propose a novel decomposition algorithm to provide an optimal solution with reduced computation time compared to state-of-the-art optimal approaches (22.6% in average). We also propose a heuristic version that has negligible computation time. [ABSTRACT FROM AUTHOR]

Published
2018
Full Text
View/download PDF

45. Designing applications for heterogeneous many-core architectures with the FlexTiles Platform

Author

Janssen, Benedikt, primary, Schwiegelshohn, Fynn, additional, Koedam, Martijn, additional, Duhem, Francois, additional, Masing, Leonard, additional, Werner, Stephan, additional, Huriaux, Christophe, additional, Courtay, Antoine, additional, Wheatley, Emilie, additional, Goossens, Kees, additional, Lemonnier, Fabrice, additional, Millet, Philippe, additional, Becker, Jurgen, additional, Sentieys, Olivier, additional, and Hubner, Michael, additional

Published
2015
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results