Essays about: "processor asic"
Showing result 1 - 5 of 20 essays containing the words processor asic.
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1. Low-power Acceleration of Convolutional Neural Networks using Near Memory Computing on a RISC-V SoC
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : The recent peak in interest for artificial intelligence, partly fueled by language models such as ChatGPT, is pushing the demand for machine learning and data processing in everyday applications, such as self-driving cars, where low latency is crucial and typically achieved through edge computing. The vast amount of data processing required intensifies the existing performance bottleneck of the data movement. READ MORE
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2. Design and evaluation of architectures for efficient generation of control sequences
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Ultra millimeter-wave (mmWave) radars have become a vital sensor in automotive, surveillance, and consumer electronics thanks to its precise measurements and low power consumption. However, they required a precise control to coordinate their different modules and produce meaningful data. READ MORE
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3. Introducing Machine Learning in a Vectorized Digital Signal Processor
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Machine learning is rapidly being integrated into all areas of society, however, that puts a lot of pressure on resource costraint hardware such as embedded systems. The company Ericsson is gradually integrating machine learning based on neural networks, so-called deep learning, into their radio products. READ MORE
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4. AXI-PACK : Near-memory Bus Packing for Bandwidth-Efficient Irregular Workloads
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : General propose processor (GPP) are demanded high performance in dataintensive applications, such as deep learning, high performance computation (HPC), where algorithm kernels like GEMM (general matrix-matrix multiply) and SPMV (sparse matrix-vector multiply) kernels are intensively used. The performance of these data-intensive applications are bounded with memory bandwidth, which is limited by computing & memory access coupling and memory wall effect. READ MORE
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5. FPGA Implementation of the ORB Algorithm
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Image feature extraction has become a key technology in the field of autonomous Artificial Intelligence. The algorithm Oriented FAST and Rotated BRIEF (ORB), uses established technologies in image processing to allow a computer to ”see” and navigate its surroundings. READ MORE