Sökning: "Application Specific Processor"

Visar resultat 1 - 5 av 40 uppsatser innehållade orden Application Specific Processor.

1. 1. Low-power Acceleration of Convolutional Neural Networks using Near Memory Computing on a RISC-V SoC

   Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

   Författare :Kristoffer Westring; Linus Svensson; [2023]
   Nyckelord :FPGA; ASIC; Near Memory Computing; RISC-V; Convolutional Neural Network; Technology and Engineering;

   Sammanfattning : 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. LÄS MER

3. 2. Objektdetektering av trafikskyltar på inbyggda system med djupinlärning

   Kandidat-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

   Författare :Pontus Wikström; Johan Hotakainen; [2023]
   Nyckelord :Deep learning; Edge device; Machine learning; Nvidia Jetson Nano; Objectdetection; Raspberry Pi 3; Traffic sign recognition; Djupinlärning; Inbyggda system; Maskininlärning; Nvidia Jetson Nano; Objektdetektering; Raspberry Pi 3; Trafikskyltsigenkänning;

   Sammanfattning : In recent years, AI has developed significantly and become more popular than ever before. The applications of AI are expanding, making knowledge about its application and the systems it can be applied to more important. LÄS MER

4. 3. Introducing Machine Learning in a Vectorized Digital Signal Processor

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Linnéa Ridderström; [2023]
   Nyckelord :Digital Signal Processor DSP ; Application-Specific Integrated Circuit ASIC ; Machine Learning; Deep Learning; Convolutional Neural Network CNN ; Very Long Instruction Word VLIM ; Single Instruction Multiple Data SIMD ; Digital Signalprocessor DSP ; Applikation-Specifik Integrerad Krets ASIC ; Maskininlärning; Djupinlärning; Konvolutionella Neurala Nätverk CNN ; Very Long Instruction Word VLIW ; Single Instruction Multiple Data SIMD ;

   Sammanfattning : Machine learning is rapidly being integrated into all areas of society, however, that puts a lot of pressure on resource costraint hardware such as embedded systems. The company Ericsson is gradually integrating machine learning based on neural networks, so-called deep learning, into their radio products. LÄS MER

5. 4. Applikationsutveckling i Java/Android för hörseltest : Vidareutveckling av applikation för användning med hörlurar

   Uppsats för yrkesexamina på grundnivå, Umeå universitet/Institutionen för tillämpad fysik och elektronik

   Författare :Emil Karlsson; [2022]
   Nyckelord :;

   Sammanfattning : Hörselnedsättningar är ett mycket vanligt problem. År 2015 hade ca. 6.8% av jordens befolkning någon sorts hörselnedsättning. LÄS MER

7. 5. Hardware Support for FPGA  Resource Elasticity

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Fidan Aliyeva; [2022]
   Nyckelord :FPGA; Elasticity; Partial reconfiguration; Crossbar; WISHBONE; Multicast; FPGA; Elasticitet; Partiell omkonfigurering; Crossbar; WISHBONE; Multicast;

   Sammanfattning : FPGAs are commonly used in cloud computing due to their ability  to be  programmed  as a processor that serves a specific purpose; hence, achieving high performance at low power. On the other hand, FPGAs have a lot of resources available, which are wasted if they host a single application or serve a single user’s request. LÄS MER