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  An attention controlled multi-core architecture is proposed for energy efficient object recognition. The proposed architecture employs two IP layers having different roles for energy efficient recognition processing: the attention/control IPs compute regions-of-interest (ROIs) of the entire image and control the multiple processing core stopper form local object recognition processing on selected area. To this end, a task manager is proposed to perform dynamic scheduling of various ROI tasks from the attention IP to multiple cores in a unit of small-sized grid-tile. Thanks to a number of grid-tile threads generated by the task manager, the utilization of the multiple cores amounts to 92% on average. As a result, the proposed architecture achieves2.1x energy reduction in multi-core recognition system by indicating processing cores to focus on critical area of the image with a 0.87mJ attention processing. Finally, the proposed architecture is implemented in 0.13 mm CMOS technology and the fabricated chip verifies 3.2xlower energy dissipation per frame than the state-of-the-art object recognition processor.

Implementation results

Performance comparison


  Attention controlled Multi-core architecture


a. Three-stage task pipelined architecture
  - Tile based region-of-interest (ROI) task magnitude
  - MPipeline time balancing among three stages

b. Visual Perception Engine
  - Neuro-fuzzy pixel classification for multi-object ROI detection

c. Multi-casting Network-on-Chip
  - Combined topology + multi-casting capability

d. Workload-aware dynamic power management
  - Adaptive power gating according to input workload

Related Papers

  - ISSCC 09 [pdf] [Demo Video]

  - ESSCIRC 09 [pdf]

  - ISLPED 09 [pdf]

  - COOL Chips 09 [pdf]

  - JSSC Jan. 10 [pdf]

  - JSSC July 10 [pdf]

  - TCSVT 10 [pdf]

  - MICRO 09 [pdf]

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