Sökning: "FPGA"

Visar resultat 11 - 15 av 92 avhandlingar innehållade ordet FPGA.

1. 11. Design Issues in VLSI Implementation of Image Processing Hardware Accelerators - Methodology and Implementation

   Författare :Hongtu Jiang; Institutionen för elektro- och informationsteknik; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Signal processing; Bildbehandling; image processing; Imaging; Teknik; Technological sciences; Controller Synthesis; Circuit design; FPGA; Image convolution; Image processing; Video segmentation; Signalbehandling; Electronics; Elektronik;

   Sammanfattning : With the increasing capacity in today's hardware system design enabled by technology scaling, image processing algorithms with substantially more complexity can be implemented in a single chip with real-time performance. Combined with the demand for low power consumption or larger resolution seen in many applications such as mobile devices and HDTV, new design methodologies and hardware architectures are constantly called for to bridge the gap between designers productivity and what the technology could offer. LÄS MER

3. 12. Energy Efficient Wireless Sensor Node Architecture for Data and Computation Intensive Applications

   Författare :Khurram Shahzad; Oelmann Bengt; Teresa Riesgo; Mittuniversitetet; []
   Nyckelord :WSN; wireless sensor node; architecture; vibration monitoring; image monitoring; energy efficient; FPGA; power management; embedded system;

   Sammanfattning : Wireless Sensor Networks (WSNs), in addition to enabling monitoring solutions for numerous new applications areas, have gained huge popularity as a cost-effective, dynamically scalable, easy to deploy and maintainable alternatives to conventional infrastructure-based monitoring solutions.A WSN consists of spatially distributed autonomous wireless sensor nodes that measure desired physical phenomena and operate in a collaborative manner to relay the acquired information wirelessly to a central location. LÄS MER

4. 13. Streaming Aggregation using Reconfigurable Hardware

   Författare :Prajith Ramakrishnan Geethakumari; Chalmers tekniska högskola; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Streaming; Aggregation; Dataflow; FPGA;

   Sammanfattning : High throughput and low latency streaming aggregation is essential for many applications that analyze massive volumes of data in real-time. In many cases, high speed stream aggregation can be achieved incrementally by computing partial results for multiple windows. LÄS MER

5. 14. Embedded Systems and FPGAs for Implementation of Control Oriented Models, Applied to Combustion Engines

   Författare :Carl Wilhelmsson; Förbränningsmotorer; []
   Nyckelord :NOx; NO; Nitrogen Oxides; Emissions; Air pollution; Algorithms; Physical model; Mathematical model; FPGA; Field Programmable Gate Arrays; Embedded Systems; Micro-controllers; Engine; Diesel Engine; Internal Combustion Engine; Combustion Control; Engine Control.;

   Sammanfattning : Performance demands put on combustion engines are ever increasing, e.g. demands on emissions and fuel consumption. The increased demands together with new combustion concepts increase the need for feedback engine and combustion control. LÄS MER

7. 15. Multi-LSTM Acceleration and CNN Fault Tolerance

   Författare :Stefano Ribes; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Compression; SVD; LSTMs; CNNs; Fault Tolerance; Machine Learning; FPGA; Roofline Model; HLS; Caffe;

   Sammanfattning : This thesis addresses the following two problems related to the field of Machine Learning: the acceleration of multiple Long Short Term Memory (LSTM) models on FPGAs and the fault tolerance of compressed Convolutional Neural Networks (CNN). LSTMs represent an effective solution to capture long-term dependencies in sequential data, like sentences in Natural Language Processing applications, video frames in Scene Labeling tasks or temporal series in Time Series Forecasting. LÄS MER