Search Results - "Heitzmann, Frederic"

Twin Neurons for Efficient Real-World Data Distribution in Networks of Neural Cliques: Applications in Power Management in Electronic Circuits by Boguslawski, Bartosz, Gripon, Vincent, Seguin, Fabrice, Heitzmann, Frederic

“…Associative memories are data structures that allow retrieval of previously stored messages given part of their content. They, thus, behave similarly to the…”
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SamurAI: A Versatile IoT Node With Event-Driven Wake-Up and Embedded ML Acceleration by Miro-Panades, Ivan, Tain, Benoit, Christmann, Jean-Frederic, Coriat, David, Lemaire, Romain, Jany, Clement, Martineau, Baudouin, Chaix, Fabrice, Waltener, Guillaume, Pluchart, Emmanuel, Noel, Jean-Philippe, Makosiej, Adam, Montoya, Maxime, Bacles-Min, Simone, Briand, David, Philippe, Jean-Marc, Thonnart, Yvain, Valentian, Alexandre, Heitzmann, Frederic, Clermidy, Fabien

“…Increased capabilities, such as recognition and self-adaptability, are now required from Internet-of-Things (IoT) applications. While IoT node power…”
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Energy-Efficient Associative Memory Based on Neural Cliques by Boguslawski, Bartosz, Heitzmann, Frederic, Larras, Benoit, Seguin, Fabrice

“…Traditional memories use an address to index the stored data. Associative memories rely on a different principle: Part of previously stored data are used to…”
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Analog encoded neural network for power management in MPSoC by Larras, Benoit, Boguslawski, Bartosz, Lahuec, Cyril, Arzel, Matthieu, Seguin, Fabrice, Heitzmann, Frédéric

“…Encoded neural networks (ENN) combine the principles of associative memories and error correcting decoders. Thus, they are good candidates to solve problems…”
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UTBB FDSOI suitability for IoT applications: Investigations at device, design and architectural levels by Berthier, Florent, Beigne, Edith, Heitzmann, Frédéric, Debicki, Olivier, Christmann, Jean-Frédéric, Valentian, Alexandre, Billoint, Olivier, Amat, Esteve, Morche, Dominique, Chairat, Soundous, Sentieys, Olivier

“…In this paper, we propose to analyze Ultra Thin Body and Box FDSOI technology suitability and architectural solutions for IoT applications and more…”
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A 50.5 ns Wake-Up-Latency 11.2 pJ/Inst Asynchronous Wake-Up Controller in FDSOI 28 nm by Christmann, Jean-Frédéric, Berthier, Florent, Coriat, David, Miro-Panades, Ivan, Guthmuller, Eric, Thuries, Sébastien, Thonnart, Yvain, Makosiej, Adam, Debicki, Olivier, Heitzmann, Frédéric, Valentian, Alexandre, Vivet, Pascal, Beigné, Edith

“…Due to low activity in Internet of Things (IoT) applications, systems tend to leverage low power modes in order to reduce their power consumption. Normally-off…”
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Compact interconnect approach for networks of neural cliques using 3D technology by Boguslawski, Bartosz, Sarhan, Hossam, Heitzmann, Frederic, Seguin, Fabrice, Thuries, Sebastien, Billoint, Olivier, Clermidy, Fabien

“…Thanks to their brain-like properties, neural networks outperform traditional algorithms in certain group of applications. However, since they are…”
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Transforming VHDL descriptions into formal component-based models by Nouri, Ayoub, Ben Atitallah, Rahma, Molnos, Anca, Fabre, Christian, Heitzmann, Frédéric, Debicki, Olivier

“…In this work, we investigate a transformation of VHDL descriptions into equivalent formal models. The targeted equivalence is at the level of the functional…”
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SamurAI: A 1.7MOPS-36GOPS Adaptive Versatile IoT Node with 15,000× Peak-to-Idle Power Reduction, 207ns Wake-Up Time and 1.3TOPS/W ML Efficiency by Miro-Panades, Ivan, Tain, Benoit, Christmann, Jean-Frederic, Coriat, David, Lemaire, Romain, Jany, Clement, Martineau, Baudouin, Chaix, Fabrice, Quelen, Anthony, Pluchart, Emmanuel, Noel, Jean-Philippe, Boumchedda, Reda, Makosiej, Adam, Montoya, Maxime, Bacles-Min, Simone, Briand, David, Philippe, Jean-Marc, Valentian, Alexandre, Heitzmann, Frederic, Beigne, Edith, Clermidy, Fabien

“…IoT node application requirements are torn between sporadic data-logging and energy-hungry data processing (e.g. image classification). This paper presents a…”
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SamurAI: A Versatile IoT Node With Event-Driven Wake-Up and Embedded ML Acceleration by Miro-Panades, Ivan, Tain, Benoit, Christmann, Jean-Frederic, Coriat, David, Lemaire, Romain, Jany, Clement, Martineau, Baudouin, Chaix, Fabrice, Waltener, Guillaume, Pluchart, Emmanuel, Noel, Jean-Philippe, Makosiej, Adam, Montoya, Maxime, Bacles-Min, Simone, Briand, David, Philippe, Jean-Marc, Thonnart, Yvain, Valentian, Alexandre, Heitzmann, Frederic, Clermidy, Fabien

“…IEEE Journal of Solid-State Circuits, 2022, pp.1 Increased capabilities such as recognition and self-adaptability are now required from IoT applications. While…”
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Analog encoded neural network for power management in MPSoC by Larras, Benoit, Boguslawski, Bartosz, Lahuec, Cyril, Arzel, Matthieu, Seguin, Fabrice, Heitzmann, Frederic

“…Encoded neural networks mix the principles of associative memories and error-correcting decoders. This paper introduces an analog implementation of this new…”
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Storing non-uniformly distributed messages in networks of neural cliques by Boguslawski, Bartosz, Gripon, Vincent, Seguin, Fabrice, Heitzmann, Frédéric

“…Associative memories are data structures that allow retrieval of stored messages from part of their content. They thus behave similarly to human brain that is…”
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