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 8 of 8 for “"matrix-vector multiplications"”.
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An Optimized Multiple Right-Hand Side Dslash Kernel for Intel Xeon Phi
… a nearest neighbor stencil operator summing matrix-vector multiplications over lattice points, whose performance is bandwidth-bound on most architectures. Reportedly, up to 90\% of LQCD running time may be spent computing Dslash. In recent years, efforts have been made by researchers to …
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Analog On-chip Training and Inference with Non-volatile Memory Devices
… computing (AIMC), which enables efficient matrix-vector multiplications by encoding synaptic weights into the conductance of nonvolatile memory devices. These devices are structured into crossbar arrays. To explore the potential of non-volatile memory devices in AIMC, investigations involve …
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Machine learning methods for vector-based compositional semantics
… the meaning of phrases and sentences as dense vectors, which can then be further analysed and manipulated to perform any number of tasks involving the understanding of human language. Rather than seeing this task purely as an engineering problem, this thesis will focus on …
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Preconditioning of Karush--Kuhn--Tucker Systems arising in Optimal Control Problems
… interior--point methods. Therefore, the system matrix is referred to as a KKT matrix. It is not the purpose of this thesis to investigate systems arising from general quadratic programming problems, but to study systems arising in linear quadratic control problems governed by partial …
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Workload-aware compressed linear algebra for data-centric machine learning pipelines
… use declarative language abstractions, lossless matrix compression applies lightweight compression schemes to numeric matrices and enables compressed linear algebra operations such as matrix-vector multiplications directly on compressed representations. Traditional ML pipelines containing feature …
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Optimal configuration of large arrays of floating bodies for ocean wave energy extraction
… using the adjoint method that, by also employing matrix-free matrix-vector multiplications, leads to a fast, memory-efficient gradient-based optimization algorithm. The optimization is performed for regular and irregular seas. The optimized rectangular arrays lead to high array gains, especially …
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Processing graphs and sparse matrices efficiently
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2024-05-01