Search for dissertations about: "Data Compression"
Showing result 1 - 5 of 279 swedish dissertations containing the words Data Compression.
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1. Statistical Compression Cache Designs
Abstract : On-chip caches are essential as they bridge the growing speed-gap between off-chip memory and processors. To this end, processing cores are sacrificed for more cache space in the chip's real estate, possibly affecting the cache access time and power dissipation. READ MORE
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2. Reducing Memory Traffic with Approximate Compression
Abstract : Memory bandwidth is a critical resource in modern systems and has an increasing demand. The large number of on-chip cores and specialized accelerators improves the potential processing throughput but also calls for higher data rates. In addition, new emerging data-intensive applications further increase memory traffic. READ MORE
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3. Structures of String Matching and Data Compression
Abstract : This doctoral dissertation presents a range of results concerning efficient algorithms and data structures for string processing, including several schemes contributing to sequential data compression. It comprises both theoretic results and practical implementations. READ MORE
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4. Sparse Voxel DAGs for Shadows and for Geometry with Colors
Abstract : Triangles are probably the most common format for shapes in computer graphics. Nevertheless, when high detail is desired, Sparse Voxel Octrees (SVO) and Sparse Voxel Directed Acyclic Graphs (DAG) can be considerably more memory efficient. One of the first practical use cases for DAGs was to use the structure to represent precomputed shadows. READ MORE
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5. 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