Now showing items 21-40 of 43

    • Hardware-software co-design for efficient and scalable real-time emulation of SNNs on the edge 

      Oltra Oltra, Josep Angel; Madrenas Boadas, Jordi; Zapata Rodríguez, Mireya; Vallejo Mancero, Bernardo Javier; Mata Hernández, Diana; Sato, Shigeo (Institute of Electrical and Electronics Engineers (IEEE), 2021)
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      This paper introduces a novel workflow for Distributed Spiking Neural Network Architecture (DSNA). As such, the hardware implementation of Single Instruction Multiple Data (SIMD)-based Spiking Neural Network (SNN) requires ...
    • Integration of GMR sensors with different technologies 

      Cubells Beltrán, M. Dolores; Reig Escriva, Abilio Càndid; Madrenas Boadas, Jordi; De Marcellis, A.; Santos, Joana; Cardoso, Susana; Freitas, P.P. (2016-06-01)
      Article
      Open Access
      Less than thirty years after the giant magnetoresistance (GMR) effect was described, GMR sensors are the preferred choice in many applications demanding the measurement of low magnetic fields in small volumes. This rapid ...
    • JubiTool: Unified design flow for the perplexus SIMD hardware accelerator 

      Robert, M.; Volken, H.; Brousse, O.; Guillot, J.; Gil, T.; Grize, F.; Sassatelli, G.; Moreno Aróstegui, Juan Manuel; Madrenas Boadas, Jordi; Villa, A. (IEEE Computer Society Publications, 2009)
      Conference report
      Open Access
      This paper presents a new unified design flow developed within the Perplexus project that aims to accelerate parallelizable data-intensive applications in the context of ubiquitous computing. This contribution relies ...
    • LCMOS: Light-powered standard CMOS circuits 

      Madrenas Boadas, Jordi; Fernández Martínez, Daniel; Wang, Chunyan (2012)
      Conference report
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      LCMOS, a harvest-use light-powered scheme for standard CMOS circuits based on photogenerated currents in the drain-substrate PN junction of both PMOS and NMOS transistors is introduced. PMOS and NMOS bulks are ...
    • LEGION-based image segmentation by means of spiking neural networks using normalized synaptic weights implemented on a compact scalable neuromorphic architecture 

      Sánchez Rivera, Giovanny; Madrenas Boadas, Jordi; Cosp Vilella, Jordi (2019-01-01)
      Article
      Open Access
      LEGION (Locally Excitatory, Globally Inhibitory Oscillator Network) topology has demonstrated good capabilities in scene segmentation applications. However, the implementation of LEGION algorithm requires machines with ...
    • Manufacturing Issues of BEOL CMOS-MEMS Devices 

      Valle Fraga, Juan José; Fernández Martínez, Daniel; Gibrat, Olivier; Madrenas Boadas, Jordi (Institute of Electrical and Electronics Engineers (IEEE), 2021-06-07)
      Article
      Open Access
      In this paper we present a comprehensive report on the issues found during the manufacturing of high-yield CMOS-MEMS sensors based on vapor-phase hydrogen fluoride (vapor- HF ) oxide etching. During the study we have ...
    • Optimization of parameters for CMOS MEMS resonant pressure sensors 

      Banerji, Saoni; Madrenas Boadas, Jordi; Fernández Martínez, Daniel (Institute of Electrical and Electronics Engineers (IEEE), 2015)
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      Micro machined resonant pressure sensors have rapidly grown into a major type of MEMS products over the past two decades. This paper presents the mathematical modelling of squeeze film damping in a MEMS resonant pressure ...
    • Performance evaluation and scaling of a multiprocessor architecture emulating complex SNN algorithms 

      Sánchez Rivera, Giovanny; Madrenas Boadas, Jordi; Moreno Aróstegui, Juan Manuel (Springer Verlag, 2010-09)
      Article
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      The performance analysis of an efficient multiprocessor architecture that allows accelerating the emulation of large-scale Spiking Neural Networks (SNNs) is reported. After describing the architecture and the complex SNN ...
    • Pulsed digital oscillators for electrostatic MEMS 

      Gorreta Mariné, Sergio; Ruiz Fernández, Daniel; Blokhina, Elena; Pons Nin, Joan; Jiménez Serres, Vicente; O'Connell, D.; Feely, Orla; Madrenas Boadas, Jordi; Domínguez Pumar, Manuel (2012)
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      This paper introduces a new actuation scheme for implementing Pulsed Digital Oscillators (PDOs) for electrostatic MEMS resonators. In this scheme, the capacitance of the device is biased with a voltage and it is periodically ...
    • Quasi-digital conversion for resistive devices: application in GMR-based IC current sensors 

      Reig, C.; Cubells, Miquel; De Marcellis, A.; Madrenas Boadas, Jordi; Cardoso, S.; Freitas, P.P. (Institute of Electrical and Electronics Engineers (IEEE), 2013)
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      Resistive devices, including sensors, are used in a huge range of applications within different scenarios. When a complete system is considered, a quasi-digital output is often recommendable. If the conversion is operated ...
    • Quasi-digital front-ends for current measurement in integrated circuits with giant magnetoresistance technology 

      De Marcellis, A.; Cubells Beltrán, M. Dolores; Reig Escriva, Abilio Càndid; Madrenas Boadas, Jordi; zadov, Boris; Paperno, Eugene; Cardoso, S.; Freitas, P.P. (2014-07-01)
      Article
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      In this study, the authors report on two different electronic interfaces for low-power integrated circuits electric current monitoring through current-to-frequency (I-f) conversion schemes. This proposal displays the ...
    • Result-consistent counter sampling scheme for coarse-fine TDCs 

      Michalik, Piotr Jozef; Fernandez, D.; Madrenas Boadas, Jordi (Institution of Electrical Engineers, 2012-09-13)
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    • Self-adaptive hardware architecture with parallel processing capabilities and dynamic reconfiguration 

      Soto Vargas, Javier; Moreno Aróstegui, Juan Manuel; Madrenas Boadas, Jordi; Cabestany Moncusí, Joan (Association for Computing Machinery (ACM), 2017)
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      This paper describes a new self-adaptive hardware architecture with fault tolerance capabilities and a development system that allows the creation of applications. This bioinspired architecture is based on an array of ...
    • Self-controlled 4-transistor low-power min-max current selector 

      Madrenas Boadas, Jordi; Fernández Martínez, Daniel; Cosp Vilella, Jordi; Martínez Alvarado, Luis Arturo; Alarcón Cot, Eduardo José; Vidal López, Eva María; Villar Piqué, Gerard (2009-10)
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      Four cross-coupled MOS transistors operating as switches implement a very compact, fast, low-power and precise minimum and maximum current selector. Local positive feedback allows the circuit to work without the need of ...
    • Sense/Drive Architecture for CMOS-MEMS Accelerometers with Relaxation Oscillator and TDC 

      Michalik, Piotr Jozef; Madrenas Boadas, Jordi; Fernández Martínez, Daniel (IEEE Computational Intelligence Society, 2012)
      Conference report
      Open Access
    • SIXE: An X-ray experiment for the MINISAT platform 

      Bravo Guil, Eduardo; García-Berro Montilla, Enrique; Gutiérrez Cabello, Jordi; José Pont, Jordi; García Senz, Domingo; Cabestany Moncusí, Joan; Madrenas Boadas, Jordi (2001-01)
      Article
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      SIXE (Spanish Italian X-ray Experiment) is an X-ray payload with geometric area of ~3200 cm2 , formed by four identical gas-filled Multiwire Proportional Counters devoted for a long term spectroscopy of selected X-ray ...
    • SNAVA—A real-time multi-FPGA multi-model spiking neural network simulation architecture 

      Sripad T A, Athul; Sánchez Rivera, Giovanny; Zapata Rodríguez, Mireya; Pirrone, Vito; Dorta Pérez, Silvestre Taho; Cambria, Salvatore; Marti, Albert; Krishnamourthy, Karthikeyan; Madrenas Boadas, Jordi (2018-01-01)
      Article
      Open Access
      Spiking Neural Networks (SNN) for Versatile Applications (SNAVA) simulation platform is a scalable and programmable parallel architecture that supports real-time, large-scale, multi-model SNN computation. This parallel ...
    • Spike-based analog-digital neuromorphic information processing system for sensor applications 

      Sánchez Rivera, Giovanny; Koickal, Thomas Jacob; Sripad T A, Athul; Gouveia, Luiz Carlos; Hamilton, Alister; Madrenas Boadas, Jordi (Institute of Electrical and Electronics Engineers (IEEE), 2013)
      Conference report
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      A spiking-neuron-based system that combines analog and digital multi-processor implementations for the bio-inspired processing of sensors is reported. This combination allows creating a powerful bio-inspired multiple-input ...
    • SpiNDeK: An integrated design tool for the multiprocessor emulation of complex bioinspired spiking neural networks 

      Hauptvogel, Michael; Madrenas Boadas, Jordi; Moreno Aróstegui, Juan Manuel (IEEE Computer Society Publications, 2009)
      Conference report
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      SpiNDeK (Spiking Neural Network Design Kit) is an integrated design tool intended to support the development of emulation of complex bioinspired neural networks. In this work, the most relevant aspects of the tool are ...
    • Synchronizable compact CMOS oscillator 

      Villar Piqué, Gerard; Alarcón Cot, Eduardo José; Vidal López, Eva María; Cosp Vilella, Jordi; Madrenas Boadas, Jordi (2005-01)
      Article
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      This letter describes the design and implementation of a synchronizable compact CMOS oscillator. By using a fully differential topology, a reduction in area occupancy together with an improved robustness in front of on-chip ...