Essays about: "System-on-Chip SoC"
Showing result 11 - 15 of 53 essays containing the words System-on-Chip SoC.
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11. Customization of Ibex RISC-V Processor Core
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Despite, the fact that we now have highly powerful and reliable CPU cores from System on Chip (SoC) Intellectual Property (IP) giants, the silicon industry is still leaning toward an efficient CPU core with an open-source Instruction Set Architecture (ISA) at the moment, where RISC-V has proven to be extremely successful. The aim to customize an open-source processor core, as described in our thesis subject, in order to find a cheaper alternative to high-priced CPU cores that can be tailored for specific applications is one of the key contribution of our thesis. READ MORE
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12. MATLAB/Simulink implementation of ForSyDe
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Nowadays, it is possible to integrate an increasing number of functionalities on a single chip thanks to the state of the art technology in Electronic design automation. However, designing highly complex electronic systems quickly and reliably requires dealing with all such functionalities, which can be difficult as it requires a long and challenging design process because low-level details are necessary to obtain a functional implementation. READ MORE
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13. Machine Learning for Space Applications on Embedded Systems
University essay from Luleå tekniska universitet/RymdteknikAbstract : As space missions continue to increase in complexity, the operational capabilities and amount of gathered data demand ever more advanced systems. Currently, mission capabilities are often constrained by the link bandwidth as well as onboard processing capabilities. READ MORE
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14. A Study on Efficient Memory Utilization in Machine Learning and Memory Intensive Systems
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : As neural networks find more and more practical applications targeted for edge devices, the implementation of energy-efficient architectures is becoming very crucial. Despite the advancements in process technology, power and performance of memories remain to be a bottleneck for most computing platforms. READ MORE
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15. Implementation of a Deep Learning Inference Accelerator on the FPGA.
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Today, Artificial Intelligence is one of the most important technologies, ubiquitous in our daily lives. Deep Neural Networks (DNN's) have come up as state of art for various machine intelligence applications such as object detection, image classification, face recognition and performs myriad of activities with exceptional prediction accuracy. READ MORE
