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Analyzing Distributed Matrix Multiplication Strategies
A team is training a neural network with a very large linear layer, defined by the matrix multiplication Y = XA. The weight matrix A is too large to fit in the memory of a single GPU. The team proposes two different methods to distribute this single operation across two GPUs. Analyze both methods and determine which one correctly implements the strategy of splitting the matrix multiplication to overcome the memory limitation of the weight matrix. Justify your reasoning.
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Ch.2 Generative Models - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
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