Search Results - "Gallo, Manuel Le"
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Memory devices and applications for in-memory computing
Published in Nature nanotechnology (01-07-2020)“…Traditional von Neumann computing systems involve separate processing and memory units. However, data movement is costly in terms of time and energy and this…”
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Accurate deep neural network inference using computational phase-change memory
Published in Nature communications (18-05-2020)“…In-memory computing using resistive memory devices is a promising non-von Neumann approach for making energy-efficient deep learning inference hardware…”
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Robust high-dimensional memory-augmented neural networks
Published in Nature communications (29-04-2021)“…Traditional neural networks require enormous amounts of data to build their complex mappings during a slow training procedure that hinders their abilities for…”
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Subthreshold electrical transport in amorphous phase-change materials
Published in New journal of physics (21-09-2015)“…Chalcogenide-based phase-change materials play a prominent role in information technology. In spite of decades of research, the details of electrical transport…”
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Experimental validation of state equations and dynamic route maps for phase change memristive devices
Published in Scientific reports (20-04-2022)“…Phase Change Memory (PCM) is an emerging technology exploiting the rapid and reversible phase transition of certain chalcogenides to realize nanoscale memory…”
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A Precision-Optimized Fixed-Point Near-Memory Digital Processing Unit for Analog In-Memory Computing
Published in 2024 IEEE International Symposium on Circuits and Systems (ISCAS) (19-05-2024)“…Analog In-Memory Computing (AIMC) is an emerging technology for fast and energy-efficient Deep Learning (DL) inference. However, a certain amount of digital…”
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Conference Proceeding -
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Crystal growth within a phase change memory cell
Published in Nature communications (07-07-2014)“…In spite of the prominent role played by phase change materials in information technology, a detailed understanding of the central property of such materials,…”
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Compressed Sensing With Approximate Message Passing Using In-Memory Computing
Published in IEEE transactions on electron devices (01-10-2018)“…In-memory computing is a promising non-von Neumann approach where certain computational tasks are performed within resistive memory units by exploiting their…”
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Memristive technologies for data storage, computation, encryption, and radio-frequency communication
Published in Science (American Association for the Advancement of Science) (03-06-2022)“…Memristive devices, which combine a resistor with memory functions such that voltage pulses can change their resistance (and hence their memory state) in a…”
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Monatomic phase change memory
Published in Nature materials (01-08-2018)“…Phase change memory has been developed into a mature technology capable of storing information in a fast and non-volatile way 1 – 3 , with potential for…”
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Neuromorphic computing with multi-memristive synapses
Published in Nature communications (28-06-2018)“…Neuromorphic computing has emerged as a promising avenue towards building the next generation of intelligent computing systems. It has been proposed that…”
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Temporal correlation detection using computational phase-change memory
Published in Nature communications (24-10-2017)“…Conventional computers based on the von Neumann architecture perform computation by repeatedly transferring data between their physically separated processing…”
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Experimental Demonstration of Supervised Learning in Spiking Neural Networks with Phase-Change Memory Synapses
Published in Scientific reports (15-05-2020)“…Spiking neural networks (SNN) are computational models inspired by the brain’s ability to naturally encode and process information in the time domain. The…”
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Detecting Correlations Using Phase-Change Neurons and Synapses
Published in IEEE electron device letters (01-09-2016)“…As the conventional von Neumann-based computational architectures reach their scalability and performance limits, alternative computational frameworks inspired…”
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In-memory computing on a photonic platform
Published in Science advances (01-02-2019)“…Collocated data processing and storage are the norm in biological computing systems such as the mammalian brain. As our ability to create better hardware…”
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HERMES-Core-A 1.59-TOPS/mm2 PCM on 14-nm CMOS In-Memory Compute Core Using 300-ps/LSB Linearized CCO-Based ADCs
Published in IEEE journal of solid-state circuits (01-04-2022)“…We present a 256 <inline-formula> <tex-math notation="LaTeX">\times </tex-math></inline-formula> 256 in-memory compute (IMC) core designed and fabricated in…”
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Mechanism and Impact of Bipolar Current Voltage Asymmetry in Computational Phase-Change Memory
Published in Advanced materials (Weinheim) (01-09-2023)“…Nanoscale resistive memory devices are being explored for neuromorphic and in-memory computing. However, non-ideal device characteristics of read noise and…”
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Neuromorphic computing using non-volatile memory
Published in Advances in physics: X (01-01-2017)“…Dense crossbar arrays of non-volatile memory (NVM) devices represent one possible path for implementing massively-parallel and highly energy-efficient…”
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Measurement of Onset of Structural Relaxation in Melt‐Quenched Phase Change Materials
Published in Advanced functional materials (01-09-2021)“…Chalcogenide phase change materials enable non‐volatile, low‐latency storage‐class memory. They are also being explored for new forms of computing such as…”
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Hardware implementation of memristor-based artificial neural networks
Published in Nature communications (04-03-2024)“…Artificial Intelligence (AI) is currently experiencing a bloom driven by deep learning (DL) techniques, which rely on networks of connected simple computing…”
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