Essays about: "On-chip"
Showing result 1 - 5 of 225 essays containing the word On-chip.
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1. Optimizing on-chip Machine Learning for Data Prefetching
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : The idea behind data prefetching is to speed up program execution by predicting what data is needed by the processor, before it is actually needed. Data prefetching is commonly performed by prefetching the next memory address in line, but there are other, more sophisticated approaches such as machine learning. READ MORE
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2. Deep Learning Model Deployment for Spaceborne Reconfigurable Hardware : A flexible acceleration approach
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Space debris and space situational awareness (SSA) have become growing concerns for national security and the sustainability of space operations, where timely detection and tracking of space objects is critical in preventing collision events. Traditional computer-vision algorithms have been used extensively to solve detection and tracking problems in flight, but recently deep learning approaches have seen widespread adoption in non-space related applications for their high accuracy. READ MORE
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3. Code Synthesis for Heterogeneous Platforms
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Heterogeneous platforms, systems with both general-purpose processors and task-specific hardware, are largely used in industry to increase efficiency, but the heterogeneity also increases the difficulty of design and verification. We often need to wait for the completion of all the modules to know whether the functionality of the design is correct or not, which can cause costly and tedious design iteration cycles. READ MORE
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4. Photoluminescence Mapping of Erbium Doped Lithium Niobate
University essay from KTH/Tillämpad fysikAbstract : Lithium niobate (LiNbO3) is a human-made crystalline which is widely used in modern photonics due to its useful properties. In recent years, there has been significant progress in the development of lithium niobate on insulator (LNOI) technology, realizing a fully functional photonic integrated circuits, thanks to its capabilities in both electro-optics and second-order optical nonlinearity. READ MORE
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5. Low-power Acceleration of Convolutional Neural Networks using Near Memory Computing on a RISC-V SoC
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : The recent peak in interest for artificial intelligence, partly fueled by language models such as ChatGPT, is pushing the demand for machine learning and data processing in everyday applications, such as self-driving cars, where low latency is crucial and typically achieved through edge computing. The vast amount of data processing required intensifies the existing performance bottleneck of the data movement. READ MORE
