A scalable associative processor with applications in database and image processing

Department of Computer Science
  1. Open Access Kent State
  2. Kenneth E. Batcher Collection: Papers from the Parallel and Associative Computing Laboratory
  3. A scalable associative processor with applications in database and image processing
Author(s)
Abstract

This paper describes the implementation and use of a dedicated associative SIMD co-processor ideally suited for many applications such as database processing, image processing, genome matching, or molecular similarity analysis. The concept of associative SIMD processing is introduced, and differentiated from other associative and SIMD techniques. Then our ASC (ASsociative Computing) processor is briefly described, along with its implementation of associative SIMD processing. Finally, we demonstrate the use of our ASC processor on relational database processing and on the image processing operation of edge detection.
Format
Article
Identifier(s)
10.1109/IPDPS.2004.1303327
Publication Date
2004
Publication Title
Proceedings of the 18th International Parallel and Distributed Processing Symposium, 2004
Publisher
IEEE
First Page
259
Keywords
Subject
Rights
http://rightsstatements.org/vocab/InC/1.0/
Community
Department of Computer Science
Comments

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Wang, H., Xie, L., Wu, M., & Walker, R. (2004). A scalable associative processor with applications in database and image processing (1–). Proceedings of the 18th International Parallel and Distributed Processing Symposium, 2004. https://doi.org/10.1109/IPDPS.2004.1303327
Wang, Hong, Lei Xie, Meiduo Wu, and Robert Walker. 2004. “A Scalable Associative Processor With Applications in Database and Image Processing”. Proceedings of the 18th International Parallel and Distributed Processing Symposium, 2004. https://doi.org/10.1109/IPDPS.2004.1303327.
Wang, Hong, et al. A Scalable Associative Processor With Applications in Database and Image Processing. Proceedings of the 18th International Parallel and Distributed Processing Symposium, 2004, 2004, https://doi.org/10.1109/IPDPS.2004.1303327.