Essays about: "computer science - processor"
Showing result 1 - 5 of 12 essays containing the words computer science - processor.
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1. Trainable Region of Interest Prediction: Hard Attention Framework for Hardware-Efficient Event-Based Computer Vision Neural Networks on Neuromorphic Processors
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Neuromorphic processors are a promising new type of hardware for optimizing neural network computation using biologically-inspired principles. They can effectively leverage information sparsity such as in images from event-based cameras, and are well-adapted to processing event-based data in an energy-efficient fashion. READ MORE
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2. Investigation of high performance configurations on the Evolved Packet Gateway
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : Modern servers today are based on multi-socket motherboards to increase their power and performance figures. These setups provide CPU interconnection through a high speed bus. If processes on one CPU need access to memory or devices local to another CPU, they need to traverse this bus and this adds a delay to the execution time. READ MORE
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3. Acceleration of Machine-Learning Pipeline Using Parallel Computing
University essay from Uppsala universitet/Signaler och systemAbstract : Researchers from Lund have conducted research on classifying images in three different categories, faces, landmarks and objects from EEG data [1]. The researchers used SVMs (Support Vector Machine) to classify between the three different categories [2, 3]. READ MORE
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4. Optimizing Convolutional Neural Networks for Inference on Embedded Systems
University essay from Uppsala universitet/Signaler och systemAbstract : Convolutional neural networks (CNN) are state of the art machine learning models used for various computer vision problems, such as image recognition. As these networks normally need a vast amount of parameters they can be computationally expensive, which complicates deployment on embedded hardware, especially if there are contraints on for instance latency, memory or power consumption. READ MORE
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5. Gate Recurrent Unit Neural Networks for Hearing Instruments
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Gated Recurrent Unit (GRU) neural networks have gained popularity for applications such as keyword spotting, speech recognition and other artificial intelligence applications. Typically for most applications training and inference is performed on cloud servers, and the result are transferred to the power constrained device, e.g. READ MORE