Search Results - "Kritikakou, Angeliki"

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  1. 1

    Energy-Efficient Partial-Duplication Task Mapping Under Multiple DVFS Schemes by Cui, Minyu, Kritikakou, Angeliki, Mo, Lei, Casseau, Emmanuel

    “…On multicore platforms, reliable task execution, as well as low energy consumption, are essential. Dynamic Voltage/Frequency Scaling (DVFS) is typically used…”
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    Journal Article
  2. 2

    Mapping imprecise computation tasks on cyber-physical systems by Mo, Lei, Kritikakou, Angeliki

    Published in Peer-to-peer networking and applications (01-11-2019)
    “…By allocating a set of tasks onto a set of nodes and adjusting the execution time of tasks, task mapping is an efficient approach to realize distributed…”
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    Journal Article
  3. 3

    A methodology for speeding up matrix vector multiplication for single/multi-core architectures by Kelefouras, Vasilios, Kritikakou, Angeliki, Papadima, Elissavet, Goutis, Costas

    Published in The Journal of supercomputing (01-07-2015)
    “…In this paper, a new methodology for computing the Dense Matrix Vector Multiplication, for both embedded (processors without SIMD unit) and general purpose…”
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    Journal Article
  4. 4

    A Methodology for Speeding Up Fast Fourier Transform Focusing on Memory Architecture Utilization by Kelefouras, V. I., Athanasiou, G. S., Alachiotis, N., Michail, H. E., Kritikakou, A. S., Goutis, C. E.

    Published in IEEE transactions on signal processing (01-12-2011)
    “…Several SOA (state of the art) self-tuning software libraries exist, such as the Fastest Fourier Transform in the West (FFTW) for fast Fourier transform (FFT)…”
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    Journal Article
  5. 5

    A Methodology for Speeding up MVM for Regular, Toeplitz and Bisymmetric Toeplitz Matrices by Kelefouras, Vasilios I., Kritikakou, Angeliki S., Siourounis, Konstantinos, Goutis, Costas E.

    Published in Journal of signal processing systems (01-12-2014)
    “…The Matrix Vector Multiplication algorithm is an important kernel in most varied domains and application areas and the performance of its implementations…”
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    Journal Article
  6. 6

    Energy-Aware Multiple Mobile Chargers Coordination for Wireless Rechargeable Sensor Networks by Mo, Lei, Kritikakou, Angeliki, He, Shibo

    Published in IEEE internet of things journal (01-10-2019)
    “…Wireless charging provides dynamic power supply for wireless sensor networks (WSNs). Such systems, are typically considered under the scenario of wireless…”
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    Journal Article
  7. 7

    Energy-Quality-Time Optimized Task Mapping on DVFS-Enabled Multicores by Mo, Lei, Kritikakou, Angeliki, Sentieys, Olivier

    “…Multicore architectures have great potential for energy-constrained embedded systems, such as energy-harvesting wireless sensor networks. Some embedded…”
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    Journal Article
  8. 8

    Approximation-Aware Task Deployment on Heterogeneous Multicore Platforms With DVFS by Li, Xinmei, Mo, Lei, Kritikakou, Angeliki, Sentieys, Olivier

    “…Heterogeneous (HE) multicore platforms, such as ARM big.LITTLE, are widely used to execute embedded applications under multiple and contradictory constraints,…”
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    Journal Article
  9. 9

    Optimal IC Task Mapping to Maximize QoS on Heterogeneous Multicore Systems by Mo, Lei, Li, Xinmei, Kritikakou, Angeliki, You, Pengcheng

    “…Heterogeneous multicore architectures have become one of the most widely used hardware platforms for embedded systems, where time, energy, and system QoS are…”
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    Journal Article
  10. 10

    Contention and Reliability-Aware Energy Efficiency Task Mapping on NoC-Based MPSoCs by Mo, Lei, Li, Xinmei, Kritikakou, Angeliki, Zhai, Xiaojun

    Published in IEEE transactions on reliability (2024)
    “…Recently, network-on-chip (NoC)-based multiprocessor system-on-chips (MPSoCs) have become popular computing platforms for real-time applications due to high…”
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    Journal Article
  11. 11

    Approximation-aware Task Deployment on Heterogeneous Multi-core Platforms with DVFS by Li, Xinmei, Mo, Lei, Kritikakou, Angeliki, Sentieys, Olivier

    “…Heterogeneous multi-core platforms, such as ARM big.LITTLE are widely used to execute embedded applications under multiple and contradictory constraints, such…”
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    Journal Article
  12. 12

    Dynamic fault-tolerant VLIW processor with heterogeneous Function Units by Psiakis, Rafail, Kritikakou, Angeliki, Sentieys, Olivier

    Published in Microprocessors and microsystems (01-09-2022)
    “…Instruction Level Parallelism (ILP) of applications is typically limited and variant in time, thus during application execution some processor Function Units…”
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    Journal Article
  13. 13

    Neutrons Sensitivity of Deep Reinforcement Learning Policies on EdgeAI Accelerators by Bodmann, Pablo R., Saveriano, Matteo, Kritikakou, Angeliki, Rech, Paolo

    Published in IEEE transactions on nuclear science (01-08-2024)
    “…Autonomous robots and their applications are becoming popular in several different fields, including tasks where robots closely interact with humans…”
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    Journal Article
  14. 14

    A machine-learning-guided framework for fault-tolerant DNNs by Traiola, Marcello, Kritikakou, Angeliki, Sentieys, Olivier

    “…Deep Neural Networks (DNNs) show promising per-formance in several application domains. Nevertheless, DNN results may be incorrect, not only because of the…”
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    Conference Proceeding
  15. 15

    Near-optimal energy-efficient partial-duplication task mapping of real-time parallel applications by Cui, Minyu, Kritikakou, Angeliki, Mo, Lei, Casseau, Emmanuel

    Published in Journal of systems architecture (01-01-2023)
    “…Minimizing energy consumption, as well as meeting real-time and reliability constraints, are major goals during system deployment. When complex platforms, such…”
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    Journal Article
  16. 16

    Controllable QoS for Imprecise Computation Tasks on DVFS Multicores With Time and Energy Constraints by Mo, Lei, Kritikakou, Angeliki, Sentieys, Olivier

    “…Multicore architectures have been used to enhance computing capabilities, but the energy consumption is still an important concern. Embedded application…”
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    Journal Article
  17. 17

    BiSuT: A NoC-Based Bit-Shuffling Technique for Multiple Permanent Faults Mitigation by Mercier, Romain, Killian, Cedric, Kritikakou, Angeliki, Helen, Youri, Chillet, Daniel

    “…Since several decades, fault tolerance has become a major research field due to transistor shrinking and core number increasing in system-on-chip (SoC)…”
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    Journal Article
  18. 18

    Impact of High-Level-Synthesis on Reliability of Artificial Neural Network Hardware Accelerators by Traiola, Marcello, Dos Santos, Fernando Fernandes, Rech, Paolo, Cazzaniga, Carlo, Sentieys, Olivier, Kritikakou, Angeliki

    Published in IEEE transactions on nuclear science (01-04-2024)
    “…Dedicated hardware is required to efficiently execute the highly resource-demanding modern Artificial Neural Networks (ANNs). The high complexity of ANNs…”
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    Journal Article
  19. 19

    Event-Driven Joint Mobile Actuators Scheduling and Control in Cyber-Physical Systems by Mo, Lei, You, Pengcheng, Cao, Xianghui, Song, Yeqiong, Kritikakou, Angeliki

    “…In cyber-physical systems, mobile actuators can enhance system's flexibility and scalability, but at the same time incurs complex couplings in the scheduling…”
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    Journal Article
  20. 20

    Real-Time Imprecise Computation Tasks Mapping for DVFS-Enabled Networked Systems by Mo, Lei, Kritikakou, Angeliki, Sentieys, Olivier, Cao, Xianghui

    Published in IEEE internet of things journal (15-05-2021)
    “…Networked systems are useful for a wide range of applications, many of which require distributed and collaborative data processing to satisfy real-time…”
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    Journal Article