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EE 517

AI Accelerated Computing

University at Buffalo 3 credits Electrical Engineering

Course Description

A primary focus will be on Accelerated Computing in Artificial intelligence. This amounts to what could be called Fast Algebra. The focus will be on Vector Matrix multiplication including the case of matrices or vectors with few or single bits, Inner products, and Matrix-Matrix multiplications. In Addition, a selection of Arithmetic Intensive Computing in DSP. D&Q Algorithms in Digital Filter Structures, in particular Binary FIR Filters and Filter Banks, Connection and application of Multiplier and Adder and Multioperand Adder structures. D&Q in FFT algorithms, the Short Time Fourier Transform (STFT), The Chirp Z-Transform, other Fast Transforms including the Walsh-Hadamard Transform and Matrices.

Code
EE 517
Credits
3
Subject
Electrical Engineering

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