Sökning: "parallel stream processing"
Visar resultat 1 - 5 av 28 avhandlingar innehållade orden parallel stream processing.
1. Scalable Scientific Stream Query Processing
Sammanfattning : Scientific applications require processing of high-volume on-line streams of numerical data from instruments and simulations. In order to extract information and detect interesting patterns in these streams scientists need to perform on-line analyses including advanced and often expensive numerical computations. LÄS MER
2. Efficient implementation of stream applications on processor arrays
Sammanfattning : This thesis concludes work conducted on exploring the usage of parallel and reconfigurable processor architectures in industrial high-performance embedded systems. This kind of systems has by tradition been built using a mix of digital signal processors and custom made hardware. LÄS MER
3. Highly parallel computers for artificial neural networks
Sammanfattning : During a number of years the two fields of artificial neural networks (ANNs) and highly parallel computing have both evolved rapidly. In this thesis the possibility of combining these fields is explored, investigating the design and usage of highly parallel computers for ANN calculations. LÄS MER
4. Efficient Data Streaming Analytic Designs for Parallel and Distributed Processing
Sammanfattning : Today, ubiquitously sensing technologies enable inter-connection of physical objects, as part of Internet of Things (IoT), and provide massive amounts of data streams. In such scenarios, the demand for timely analysis has resulted in a shift of data processing paradigms towards continuous, parallel, and multitier computing. LÄS MER
5. Scalable Streaming Graph and Time Series Analysis Using Partitioning and Machine Learning
Sammanfattning : Recent years have witnessed a massive increase in the amount of data generated by the Internet of Things (IoT) and social media. Processing huge amounts of this data poses non-trivial challenges in terms of the hardware and performance requirements of modern-day applications. LÄS MER