A 5500-frames/s 85-GOPS/W 3-D Stacked BSI Vision Chip Based on Parallel In-Focal-Plane Acquisition and Processing - Archive ouverte HAL Access content directly
Journal Articles IEEE Journal of Solid-State Circuits Year : 2019

A 5500-frames/s 85-GOPS/W 3-D Stacked BSI Vision Chip Based on Parallel In-Focal-Plane Acquisition and Processing

(1) , (2) , (2) , (3) , (3) , (1) , (2) , (2) , (2) , (1) , (2) , (2)
1
2
3
Lamine Benaissa
  • Function : Author
  • PersonId : 1050829
Edouard Deschaseaux
  • Function : Author
  • PersonId : 1050830

Abstract

This paper presents a 3-D stacked vision chip featuring in-focal-plane read-out tightly coupled with flexible computing architecture for configurable high-speed image analysis. The chip architecture is based on a scalable standalone structure integrating image sensor on the top tier and processing elements (PEs) plus memories in the bottom tier. By using 3-D stacking partitioning, our prototype benefits from backside illuminated pixels sensitivity, a fully parallel communication between image sensor and PEs for low-latency performances, while leaving enough room in the bottom tier to embed advanced computing features. One scalable structure embeds a 16x16 pixel array (or 64 x 64 pixels in high-resolution mode), associated with an 8-bit single instruction multiple data (SIMD) processor; fabricated in dual 130-nm 1P6M CMOS process. This paper exhibits a 5500 frames/s and 85 giga operations per second (GOPS)/W in low-resolution mode, with large kernels capabilities through eight directions interpixel communication. Multiflow capability is also demonstrated to execute different programs in different areas of the vision chip.
Not file

Dates and versions

cea-02186449 , version 1 (17-07-2019)

Identifiers

Cite

Laurent Millet, Stéphane Chevobbe, Caaliph Andriamisaina, Lamine Benaissa, Edouard Deschaseaux, et al.. A 5500-frames/s 85-GOPS/W 3-D Stacked BSI Vision Chip Based on Parallel In-Focal-Plane Acquisition and Processing. IEEE Journal of Solid-State Circuits, 2019, 54 (4), pp.1096-1105. ⟨10.1109/JSSC.2018.2886325⟩. ⟨cea-02186449⟩
92 View
0 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More