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AI Engine Architecture: Data Movement, Synchronization, Reconfiguration and Application Mapping

Offered By: Scalable Parallel Computing Lab, SPCL @ ETH Zurich via YouTube

Tags

Machine Learning Inference Courses SIMD Courses

Course Description

Overview

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Explore the AI Engine (AIE) architecture developed by AMD/Xilinx in this 54-minute conference talk by David Clarke. Gain insights into the 2D array of vector processors that form part of the Xilinx Versal 7nm family and next-gen AMD APU devices. Delve into the intricacies of the architecture, including its VLIW SIMD vector processors, scratchpad memory, data movement engines, and streaming interconnect. Learn about target applications such as machine learning inference in datacentre, automotive, edge, and 5G acceleration. Discover key aspects of data movement, synchronization, reconfiguration, and application mapping onto hardware. Recorded at SPCL_Bcast on December 15, 2022, this talk offers a comprehensive overview of AIE architecture and its potential impact on high-performance computing.

Syllabus

Intro
Talk
Announcements


Taught by

Scalable Parallel Computing Lab, SPCL @ ETH Zurich

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