Domain Specific Accelerator (DSA) Architectures for Signal Processing, Communications, and Machine Learning

This tutorial will explore Domain Specific Accelerator (DSA) architectures, which are specialized hardware accelerators designed for specific application domains such as signal processing, communications, and machine learning. As the demand for high-performance and energy-efficient systems grows, DSAs offer a promising solution by providing tailored hardware solutions that outperform general-purpose processors in specific tasks. The tutorial will cover the fundamental principles of DSA design, including architecture, optimization techniques, and practical applications. Special emphasis will be placed on the latest advancements in AI, generative AI, and Large Language Models (LLMs). Attendees will gain insights into the design and implementation of these accelerators for various applications.