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Description
Notebook Goals
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Grasp the significance of the fundamental rules of GPU Parrell programming, so that we can understand why common error messages occur, and have confidence reading code documentation and examples.
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Have an appreciation for why GPU based machine learning algorithms are processed differently than in serial, sequential programming
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To expand one's knowledge of basic concepts through a project based approach rather than laying out obsure theories.
Objectives
Understand the basics of Array-Oriented programming done on a GPU.
Grasp how data is stored as:
Vectors 1D columns/rows of data Matricies 2D tables of data Tensors 3D extensions of matricies How to access data inside of a tensor
Develop an understsanding of indexing rows and columns
Build a conceptual foundation for understanding how to manipulate data in tensors