Search for dissertations about: "Data parallelism"
Showing result 1 - 5 of 103 swedish dissertations containing the words Data parallelism.
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1. Efficient concurrent data structure access parallelism techniques for increasing scalability
Abstract : Multi-core processors have revolutionised the way data structures are designed by bringing parallelism to mainstream computing. Key to exploiting hardware parallelism available in multi-core processors are concurrent data structures. READ MORE
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2. Parallel Data Streaming Analytics in the Context of Internet of Things
Abstract : We are living in an increasingly connected world, where the ubiquitously sensing technologies enable inter-connection of physical objects, as part of Internet of Things (IoT), and provide continuous massive amount of data. As this growth soars, benefits and challenges come together, which requires development of right tools in order to extract valuable information from data. READ MORE
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3. Obsidian: GPU Kernel Programming in Haskell
Abstract : Graphics Processing Units (GPUs) are evolving into powerful general purpose computing platforms. At first, GPU performance was driven by the requirements of 3D graphics computer games. To fit this workload, a GPU is a many-core processor suitable for the data-parallel programming paradigm. READ MORE
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4. Parallelism in Constraint Programming
Abstract : Writing efficient parallel programs is the biggest challenge of the software industry for the foreseeable future. We are currently in a time when parallel computers are the norm, not the exception. Soon, parallel processors will be standard even in cell phones. READ MORE
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5. Throughput and energy efficiency of lock-free data structures: Execution Models and Analyses
Abstract : Concurrent data structures are key program components to harness the available parallelism in multi-core processors. Lock-free algorithmic implementations of concurrent data structures offer high scalability and possess desirable properties such as immunity to deadlocks, convoying and priority inversion. READ MORE