Search for dissertations about: "high performance computing and fpga"
Showing result 1 - 5 of 9 swedish dissertations containing the words high performance computing and fpga.
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1. Field Programmable Gate Arrays and Reconfigurable Computing in Automatic Control
Abstract : New combustion engine principles increase the demands on feedback combustion control, at the same time economical considerations currently enforce the usage of low-end control hardware limiting implementation possibilities. Significant development is simultaneously and continuously carried out within the field of Field Programmable Gate Arrays (FPGAs). READ MORE
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2. Multi-LSTM Acceleration and CNN Fault Tolerance
Abstract : This thesis addresses the following two problems related to the field of Machine Learning: the acceleration of multiple Long Short Term Memory (LSTM) models on FPGAs and the fault tolerance of compressed Convolutional Neural Networks (CNN). LSTMs represent an effective solution to capture long-term dependencies in sequential data, like sentences in Natural Language Processing applications, video frames in Scene Labeling tasks or temporal series in Time Series Forecasting. READ MORE
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3. Design of Energy-Efficient High-Performance ASIP-DSP Platforms
Abstract : In the last ten years, limited clock frequency scaling and increasing power density has shifted IC design focus towards parallelism, heterogeneity and energy efficiency. Improving energy efficiency is by no means simple and it calls for a reevaluation of old design choices in processor architecture, and perhaps more importantly, development of new programming methodologies that exploit the features of modern architectures. READ MORE
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4. Dynamically Reconfigurable Resource Array
Abstract : The goals set by the International Technology Roadmap for Semiconductors (ITRS) for the consumer portable category, to be realized by 2020, are 1000X improvement in performance with only 40\% increase in power budget and no increase in design team size. To meet these goals, the challenges facing the VLSI community are gaps in architecture efficacy, design productivity and battery capacity. READ MORE
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5. Reconfigurable-Hardware Accelerated Stream Aggregation
Abstract : High throughput and low latency stream aggregation is essential for many applications that analyze massive volumes of data in real-time. Incoming data need to be stored in a single sliding-window before processing, in cases where incremental aggregations are wasteful or not possible at all. READ MORE