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Title: 3U-EdgeAI: Ultra-Low Memory Training, Ultra-Low Bitwidth Quantization, and Ultra-Low Latency Acceleration
Authors:
; ; ; ;
Award ID(s):
1817037
Publication Date:
NSF-PAR ID:
10310714
Journal Name:
Great Lakes Symposium on VLSI
Sponsoring Org:
National Science Foundation
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  1. The paper presents a novel closed-circuit ultra-compact wind tunnel with an 8:1 contraction ratio and high flow quality. Its key design features include a 2D-type main diffuser, a minimum length contraction, and a screened expanding vane cascade in the last corner. These features reduce the overall tunnel footprint area to less than half of the area of a conventional tunnel design with the same test section size and same contraction ratio. The test section turbulence level is a very low 0.03% over a 4Hz–8500Hz bandwidth.