Search for dissertations about: "Heterogeneous Parallel Computing"
Showing result 1 - 5 of 24 swedish dissertations containing the words Heterogeneous Parallel Computing.
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1. Pattern-based Programming Abstractions for Heterogeneous Parallel Computing
Abstract : Contemporary computer architectures utilize wide multi-core processors, accelerators such as GPUs, and clustering of individual computers into complex large-scale systems. These hardware trends are prevalent across computers of all sizes, from the largest supercomputers down to the smallest mobile phones. READ MORE
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2. Space Computing using COTS Heterogeneous Platforms : Intelligent On-Board Data Processing in Space Systems
Abstract : Space computing enriches space activities such as deep-space explorations and in-orbit intelligent decision making. The awareness of space computing is growing due to the technological advances of high-performance commercial off-the-shelf (COTS) computing platforms. READ MORE
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3. Hardware/Software Co-Design of Heterogeneous Manycore Architectures
Abstract : In the era of big data, advanced sensing, and artificial intelligence, the required computation power is provided mostly by multicore and manycore architectures. However, the performance demand keeps growing. Thus the computer architectures need to continue evolving and provide higher performance. READ MORE
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4. Designing a Modern Skeleton Programming Framework for Parallel and Heterogeneous Systems
Abstract : Today's society is increasingly software-driven and dependent on powerful computer technology. Therefore it is important that advancements in the low-level processor hardware are made available for exploitation by a growing number of programmers of differing skill level. READ MORE
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5. Programming and Optimization of Big-Data Applications on Heterogeneous Computing Systems
Abstract : The next-generation sequencing instruments enable biological researchers to generate voluminous amounts of data. In the near future, it is projected that genomics will be the largest source of big-data. A major challenge of big data is the efficient analysis of very large data-sets. READ MORE