Publikationen
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Einige aktuelle Übersichtsarbeiten
- Dynamical memristors for higher-complexity neuromorphic computing, Nature Reviews Materials 2022
- 2021 Roadmap on neuromorphic computing and engineering, Neuromorphic Computing and Engineering 2021
- Redox-based memristive devices for new computing paradigm , APL Materials 2019
- The future of electronics based on memristive systems, Nature Electronics 2018
Beschleunigung der Optimierung
- Power-efficient combinatorial optimization using intrinsic noise in memristor Hopfield neural networks
- Chaotic dynamics in nanoscale NbO2 Mott memristors for analogue computing
- Fast Ising solvers based on oscillator networks
- 2021 roadmap on neuromorphic computing and engineering
- Classical Adiabatic Annealing in Memristor Hopfield Neural Networks for Combinatorial Optimization
Assoziatives Rechnen und inhaltsadressierbare Speicher
- Analog content-addressable memories with memristors
- Tree-based machine learning performed in-memory with memristive analog CAM
- In-Memory Computing with Memristor Content Addressable Memories for Pattern Matching
- Memristor TCAMs Accelerate Regular Expression Matching for Network Intrusion Detection
- Regular Expression Matching with Memristor TCAMs for Network Security
- Differential Content Addressable Memory with Memristor
In-Memory-Computing
- Memristor-Based Analog Computation and Neural Network Classification with a Dot Product Engine
- CMOS-integrated nanoscale memristive crossbars for CNN and optimization acceleration
- Low-Conductance and Multilevel CMOS-Integrated Nanoscale Oxide Memristors
- Analog error correcting codes for defect tolerant matrix multiplication in crossbars
- The future of electronics based on memristive systems
- Analogue signal and image processing with large memristor crossbars
- ISAAC: a convolutional neural network accelerator with in-situ analog arithmetic in crossbars
- Newton: Gravitating Towards the Physical Limits of Crossbar Acceleration
- PUMA: A Programmable Ultra-efficient Memristor-based Accelerator for Machine Learning Inference
- PANTHER: A Programmable Architecture for Neural Network Training Harnessing Energy-Efficient ReRAM
Letzte Änderung: 18.12.2022