Search for dissertations about: "parallel stream processing"
Showing result 16 - 20 of 28 swedish dissertations containing the words parallel stream processing.
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16. Low Overhead Memory Subsystem Design for a Multicore Parallel DSP Processor
Abstract : The physical scaling following Moore’s law is saturated while the requirement on computing keeps growing. The gain from improving silicon technology is only the shrinking of the silicon area, and the speed-power scaling has almost stopped in the last two years. READ MORE
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17. REMAP-γ: A Scalable SIMD VLSI Architecture with Hierarchical Control
Abstract : While the clock speed of general purpose (uni-)processors has risen dramatically during recent years, this is not true for SIMD (Single Instruction stream Multiple Data streams) parallel processors. The reason is to be found in the structure of this type of architecture: long-range broadcasting of data, clock and control signals. READ MORE
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18. Scalable Parallelization of Expensive Continuous Queries over Massive Data Streams
Abstract : Numerous applications in for example science, engineering, and financial analysis increasingly require online analysis over streaming data. These data streams are often of such a high rate that saving them to disk is not desirable or feasible. Therefore, search and analysis must be performed directly over the data in motion. READ MORE
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19. A "happy" approach to speechreading : the effects of facial expression, emotional content, and script information on speechreading performance
Abstract : The aim of the present thesis was to study if and how emotions in facial expressions affect speechreading performance. Speechreading is the understanding of spoken messages by watching the speaker's lips, taking facial expressions and situational cues into account. READ MORE
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20. Fudgets - Purely Functional Processes with applications to Graphical User Interfaces
Abstract : The main result of this thesis is a method for writing programs with graphical user interfaces in purely functional languages. The method is based on a new abstraction called the fudget. The method makes good use of key abstraction powers of functional languages, such as higher order functions and parametric polymorphism. READ MORE