Essays about: "thesis on high performance computing"
Showing result 1 - 5 of 123 essays containing the words thesis on high performance computing.
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1. Computationally Efficient Explainable AI: Bayesian Optimization for Computing Multiple Counterfactual Explanantions
University essay from KTH/Matematik (Avd.)Abstract : In recent years, advanced machine learning (ML) models have revolutionized industries ranging from the healthcare sector to retail and E-commerce. However, these models have become increasingly complex, making it difficult for even domain experts to understand and retrace the model's decision-making process. READ MORE
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2. A Conjugate Residual Solver with Kernel Fusion for massive MIMO Detection
University essay from Högskolan i Halmstad/Centrum för forskning om tillämpade intelligenta system (CAISR)Abstract : This thesis presents a comparison of a GPU implementation of the Conjugate Residual method as a sequence of generic library kernels against implementations ofthe method with custom kernels to expose the performance gains of a keyoptimization strategy, kernel fusion, for memory-bound operations which is to makeefficient reuse of the processed data. For massive MIMO the iterative solver is to be employed at the linear detection stageto overcome the computational bottleneck of the matrix inversion required in theequalization process, which is 𝒪(𝑛3) for direct solvers. READ MORE
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3. Regression with Bayesian Confidence Propagating Neural Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Bayesian Confidence Propagating Neural Networks (BCPNNs) are biologically inspired artificial neural networks. These networks have been modeled to account for brain-like aspects such as modular architecture, divisive normalization, sparse connectivity, and Hebbian learning. READ MORE
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4. Comparative Study of the Inference of an Image Quality Assessment Algorithm : Inference Benchmarking of an Image Quality Assessment Algorithm hosted on Cloud Architectures
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : an instance has become exceedingly more time and resource consuming. To solve this issue, cloud computing is being used to train and serve the models. However, there’s a gap in research where these cloud computing platforms have been evaluated for these tasks. READ MORE
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5. Auto-scaling Prediction using MachineLearning Algorithms : Analysing Performance and Feature Correlation
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Despite Covid-19’s drawbacks, it has recently contributed to highlighting the significance of cloud computing. The great majority of enterprises and organisations have shifted to a hybrid mode that enables users or workers to access their work environment from any location. READ MORE
