Search for dissertations about: "CPU-GPU"
Showing result 1 - 5 of 6 swedish dissertations containing the word CPU-GPU.
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1. Improving On-Board Data Processing using CPU-GPU Heterogeneous Architectures for Real-Time Systems
Abstract : This thesis investigates the efficacy of heterogeneous computing architectures in real-time systems.The goals of the thesis are twofold. First, to investigate various characteristics of the Heterogeneous System Architectures (HSA) compliant reference platforms focusing on computing performance and power consumption. 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. A Lagrangian-Eulerian simulation framework for viscoelastic fluid flows
Abstract : Viscoelastic fluids appear in various industrial applications, including adhesive application, additive manufacturing, seam sealing and parts assembly with adhesive. These processes are characterized by complex geometry, moving objects and transient multiphase flow, making them inherently difficult to simulate numerically. READ MORE
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4. Programming Abstractions and Optimization Techniques for GPU-based Heterogeneous Systems
Abstract : CPU/GPU heterogeneous systems have shown remarkable advantages in performance and energy consumption compared to homogeneous ones such as standard multi-core systems.Such heterogeneity represents one of the most promising trendsfor the near-future evolution of high performance computing hardware. READ MORE
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5. GPU-aware Component-based Development for Embedded Systems
Abstract : Nowadays, more and more embedded systems are equipped with e.g., various sensors that produce large amount of data. One of the challenges of traditional (CPU-based) embedded systems is to process this considerable amount of data such that it produces the appropriate performance level demanded by embedded applications. READ MORE