The objective of this assignment is to implement a tiled matrix multiplication kernel that can support arbitrary sized matrices kernel.cu and main.cu complete the functionality of the matrix ...
An attempt to make a lightweight, FPGA-compatible systolic array-based matrix multiply engine inspired by Googles TPUs(Tensor Processing Units)— a simple project to get a better understanding of how ...
Google’s DeepMind has been using applied reinforced learning techniques to the multiplication of mathematical matrices and can do it better than some 50 year-old human-made algorithms. Bored with ...
An artificial intelligence created by the firm DeepMind has discovered a new way to multiply numbers, the first such advance in over 50 years. The find could boost some computation speeds by up to 20 ...
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