Leon Brackmann
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View article: Running Conventional Automatic Speech Recognition on Memristor Hardware: A Simulated Approach
Running Conventional Automatic Speech Recognition on Memristor Hardware: A Simulated Approach Open
Memristor-based hardware offers new possibilities for energy-efficient machine learning (ML) by providing analog in-memory matrix multiplication. Current hardware prototypes cannot fit large neural networks, and related literature covers o…
View article: Memristive ternary Łukasiewicz logic based on reading-based ratioed resistive states (3R)
Memristive ternary Łukasiewicz logic based on reading-based ratioed resistive states (3R) Open
The thirst for more efficient computational paradigms has reignited interest in computation in memory (CIM), a burgeoning topic that pivots on the strengths of more versatile logic systems. Surging ahead in this innovative milieu, multi-va…
View article: Synaptogen: A Cross-Domain Generative Device Model for Large-Scale Neuromorphic Circuit Design
Synaptogen: A Cross-Domain Generative Device Model for Large-Scale Neuromorphic Circuit Design Open
We present a fast generative modeling approach for resistive memories that reproduces the complex statistical properties of real-world devices. By training on extensive measurement data of an integrated 1T1R array (6000 cycles of 512 devic…
View article: Synaptogen: A cross-domain generative device model for large-scale neuromorphic circuit design
Synaptogen: A cross-domain generative device model for large-scale neuromorphic circuit design Open
We present a fast generative modeling approach for resistive memories that reproduces the complex statistical properties of real-world devices. To enable efficient modeling of analog circuits, the model is implemented in Verilog-A. By trai…
View article: Improved Arithmetic Performance by Combining Stateful and Non‐Stateful Logic in Resistive Random Access Memory 1T–1R Crossbars
Improved Arithmetic Performance by Combining Stateful and Non‐Stateful Logic in Resistive Random Access Memory 1T–1R Crossbars Open
Computing‐in‐memory (CIM) is a promising approach for overcoming the memory‐wall problem in conventional von‐Neumann architectures. This is done by performing certain computation tasks directly in the storage subsystem without transferring…