NetFlex: A 22nm Multi-Chiplet Perception Accelerator in High-Density Fan-Out Wafer-Level Packaging

NetFlex is a multi-chiplet package (MCP) for CNN-based perception acceleration. With a balanced parallelism for mapping and a flexible scheduling, the NetFlex chiplet supports convolution, deconvolution and fully connected layers of different shapes, sizes and strides at high utilization. NetFlex ad...

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Bibliographic Details
Main Authors: Chou, Teyuh, Tang, Wei, Rotaru, Mihai D., Liu, Chester, Dutta, Rahul, Pei Siang, Sharon Lim, Wee, David Ho Soon, Bhattacharya, Surya, Zhang, Zhengya
Format: Conference Proceeding
Language:English
Subjects:
Convolution
Deconvolution
Pose estimation
Semiconductor device measurement
Shape
Very large scale integration
Voltage measurement
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Summary:NetFlex is a multi-chiplet package (MCP) for CNN-based perception acceleration. With a balanced parallelism for mapping and a flexible scheduling, the NetFlex chiplet supports convolution, deconvolution and fully connected layers of different shapes, sizes and strides at high utilization. NetFlex adopts depth-first stream processing and an efficient streaming interface in a multi-chiplet daisy chain over Advanced Interface Bus. A 22nm NetFlex chiplet was fabricated and measured to achieve 2.14TOPS/W (16b OP) at a nominal voltage of 0.89V and 492.3MHz. A four-chiplet NetFlex MCP was built in a high-density fan-out wafer-level packaging to demonstrate 428FPS for depth estimation and 7723FPS for pose estimation.
ISSN:2158-9682
DOI:10.1109/VLSITechnologyandCir46769.2022.9830249