Streaming Data Movement for Real-Time Image Analysis
| Autor: | Sek M. Chai, A. Lopez-Lagunas |
|---|---|
| Rok vydání: | 2009 |
| Předmět: |
Flat memory model
Memory hierarchy business.industry Computer science Data stream mining Real-time computing Locality ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Uniform memory access Memory bandwidth Overlay Theoretical Computer Science Extended memory Stream processing Hardware and Architecture Control and Systems Engineering Deterministic memory Modeling and Simulation Signal Processing Computer data storage Distributed memory business Computer hardware Information Systems |
| Zdroj: | Journal of Signal Processing Systems. 62:29-42 |
| ISSN: | 1939-8115 1939-8018 |
| DOI: | 10.1007/s11265-008-0336-x |
| Popis: | High performance portable systems for real-time video/image analysis continue to demand high processing power and memory bandwidth. In embedded systems such as digital still cameras, camcorders, and camera phones, the expected performance must be delivered while meeting size, weight, and power constraints. A well-designed system should include analyses of its memory subsystem as well as the computation platform. This paper focuses on a streaming memory subsystem that leverages deterministic memory access patterns. We formalize the notion of stream descriptors as a means to define these stream access patterns and to improve memory access efficiencies by discovering locality between different data streams. Data movement for a real-time image analysis applications are performed, showing favorable bandwidth savings using stream descriptors. |
| Databáze: | OpenAIRE |
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