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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Donghyun Kim Kwanho Kim Joo-Young Kim Seungjin Lee Se-Joong Lee Hoi-Jun Yoo |
| Copyright Year | 1993 |
| Abstract | For mobile intelligent robot applications, an 81.6 GOPS object recognition processor is implemented. Based on an analysis of the target application, the chip architecture and hardware features are decided. The proposed processor aims to support both task-level and data-level parallelism. Ten processing elements are integrated for the task-level parallelism and single instruction multiple data (SIMD) instruction is added to exploit the data-level parallelism. The memory-centric network-on-chip (NoC) is proposed to support efficient pipelined task execution using the ten processing elements. It also provides coherence and consistency schemes tailored for 1-to-N and M-to-1 data transactions in a task-level pipeline. For further performance gain, the visual image processing memory is also implemented. The chip is fabricated in a 0.18-mum CMOS technology and computes the key-point localization stage of the SIFT object recognition twice faster than the 2.3 GHz Core 2 Duo processor. |
| Sponsorship | IEEE Computer Society Association for Computing Machinery (ACM)/SIGDA IEEE Computer Society Technical Committee on Design Automation |
| Starting Page | 370 |
| Ending Page | 383 |
| Page Count | 14 |
| File Size | 3530653 |
| File Format | |
| ISSN | 10638210 |
| Volume Number | 17 |
| Issue Number | 3 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-03-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Object recognition Network-on-a-chip Parallel processing CMOS technology Intelligent robots Hardware Pipelines Performance gain Image processing CMOS process VLSI Multiprocessing network-on-chip (NoC) object recognition |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Software Hardware and Architecture |
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