Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 3 of 3 for “"low-precision arithmetic"”.
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Acoustic models for speech recognition using Deep Neural Networks based on approximate math
… unit (GPU). DNN training is especially slow for tasks with large datasets. Existing approaches for speeding up the process involve parallelizing the Stochastic Gradient Descent (SGD) algorithm used to train DNNs. Those approaches do not guarantee the same results as normal SGD since they …
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Practical processing and acceleration of graph neural networks
… architectures: quantisation, where we use low-precision arithmetic at inference time, and pruning, where we remove weights from the network. Next, we investigate efficient architecture design, first for general-purpose GNNs, and secondly for models specifically designed for processing point …
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Comparing the Performance of Small Word-Size Floating-Point Numerics to Fixed-Point Numerics in Neural Networks
… become increasingly important. While fixed-point arithmetic offers resource advantages, it suffers from limited dynamic range and quantization inflexibility. This thesis introduces an alternative approach—Adaptive Precision Training (APT)—which leverages reduced-precision floating-point formats …