Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 11 of 11 for “"Analog Computing"”.
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A Method for Image Classification Using Low-Precision Analog Computing Arrays
Computing with analog micro electronics can offer several advantages over standard digital technology, most notably: Low space and power consumption and massive parallelization. On the other hand, analog computation lacks the exactness of digital calculations due to inevitable device variations …
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Analog On-chip Training and Inference with Non-volatile Memory Devices
… neural networks continues to rise, conventional computing resources are increasingly constrained by their limited energy efficiency. One promising solution to this challenge is analog in-memory computing (AIMC), which enables efficient matrix-vector multiplications by encoding synaptic weights …
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Large-scale neuromorphic computing hardware for analog AI enabled by epitaxial random access memory
A neuromorphic computing on memristor-based crossbars is one of promising next generation analog computing methods since it features fast switching speed, extremely small cell footprint, low energy consumption for matrix-vector multiplication, capability of both storage and computing, …
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Device Stack Optimization for Protonic Non-Volatile Programmable Resistors
Analog computing could alleviate computational bottlenecks in digital deep learning systems by utilizing local information processing through the physical properties of devices, such as electrochemical ion-intercalation in three-terminal devices where channel resistance is modulated by ionic …
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Devices and Algorithms for Analog Deep Learning
Efforts to realize analog processors have skyrocketed over the last decade as having energy-efficient deep learning accelerators became imperative for the future of information processing. However, the absence of two entangled components creates an impasse before their practical implementation: …
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Scalable platforms for computation and memory in living cells
… machines are capable of performing many computing and memory operations, some of which are analogous to and some are distinct from man-made computers. The ability to rationally design and dynamically control genetic programs in living cells in a robust and scalable fashion offers …
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Optimized Calibration for Analog Computations Targeting Deep Neural Networks on the Example of BrainScaleS-2
… becoming increasingly costly. This work explores analog computing as a scalable and energy-efficient alternative to the typically used digital computations. Leveraging the BrainScaleS-2 system as an analog matrix multiplication accelerator, we optimize for typical imperfections like noise and …
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Simulating Apollo: Flight Simulation Technology 1945-1975
… control systems, stability and control, and analog computing, aeronautical engineers developed simulators that functioned as “a fictious airplane in the electrical realm,” permitting real-time solution of the dynamic equations of motion governing flight vehicles. The aeronautical engineering …
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Emergent Explorations: Analog and Digital Scripting
… The thesis highlights a dialog between analog and digital modeling techniques, in concept and project development. It identifies that analog modeling techniques, coupled with judgment, can be used to develop complex forms. The thesis project employs critical judgment and the textile …
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Physics-inspired Computing and its Applications
… we explore the intersection of physics and computing, focusing on the development of novel computational paradigms inspired by physical systems. We first introduce how these physics-inspired computing methods can be applied to solve complex optimisation problems, by using the example of the …
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Domain-Specific Analog Physical Computing Accelerators
… and convolution operations using an optical computing accelerator. This hardware has the sole purpose of accelerating Fourier transform and convolution operations. Chapter 6 describes the theory of Fourier transforms and the empirical results of experiments that use the theory. Chapter 7 …