Domain Specific Accelerator (DSA) architectures for Signal Processing, Communications and Machine Learning
Speaker: Kiran Gunnam – Austin, TX, United StatesTopic(s): Architecture, Embedded Systems and Electronics, Robotics
Abstract
This lecture covers an introduction to Domain-Specific architectures for Communications, Signal Processing, and Machine Learning Systems. Various topics include pipelining and parallel processing, retiming, unfolding, folding, systolic architecture design, and algorithmic transformations. The emphasis is on how to design high-speed, low-area, and low-power DSA architectures for a broad range of applications. This lecture also covers the state-of-the-art in machine learning accelerators and emerging opportunities.About this Lecture
Number of Slides: 45Duration: 60 minutes
Languages Available: English
Last Updated:
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