Sökning: "32-bit processor"
Visar resultat 1 - 5 av 16 uppsatser innehållade orden 32-bit processor.
1. 64-point FFT Instruction Implementation and Evaluation on a Microcode Programmable Processor
Master-uppsats, Linköpings universitet/Institutionen för systemteknik; Linköpings universitet/Tekniska fakultetenSammanfattning : Fast Fourier Transform is an efficient algorithm for computing the Discrete Fourier Transform (DFT) and one of the most important algorithms used in many digital signal processing applications over decades. This thesis presents an efficient implementation method of a 32-bit complex number 64-point FFT instruction on a micro-programmable processor. LÄS MER
2. Customization of Ibex RISC-V Processor Core
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : Despite, the fact that we now have highly powerful and reliable CPU cores from System on Chip (SoC) Intellectual Property (IP) giants, the silicon industry is still leaning toward an efficient CPU core with an open-source Instruction Set Architecture (ISA) at the moment, where RISC-V has proven to be extremely successful. The aim to customize an open-source processor core, as described in our thesis subject, in order to find a cheaper alternative to high-priced CPU cores that can be tailored for specific applications is one of the key contribution of our thesis. LÄS MER
3. Optimizing Convolutional Neural Networks for Inference on Embedded Systems
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Signaler och systemSammanfattning : 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. LÄS MER
4. Gate Recurrent Unit Neural Networks for Hearing Instruments
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : 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. LÄS MER
5. Acceleration of deep convolutional neural networks on multiprocessor system-on-chip
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för datorteknikSammanfattning : In this master thesis some of the most promising existing frameworks and implementations of deep convolutional neural networks on multiprocessor system-on-chips (MPSoCs) are researched and evaluated. The thesis’ starting point was a previousthesis which evaluated possible deep learning models and frameworks for object detection on infra-red images conducted in the spring of 2018. LÄS MER