Accelerating Linear Algebra and Machine Learning Kernels on a Massively Parallel Reconfigurable Architecture
abstract: This thesis presents efficient implementations of several linear algebra kernels, machine learning kernels and a neural network based recommender systems engine onto a massively parallel reconfigurable architecture, Transformer. The linear algebra kernels include Triangular Matrix Solver (...
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| Format: | Dissertation |
| Language: | English |
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2019
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| Online Access: | http://hdl.handle.net/2286/R.I.55557 |