Scalable space/time-shared stream-processing on the run-time reconfigurable PCA architecture

N. Imlig, T. Shiozawa, K. Nagami, Y. Nakane, R. Konishi, H. Ito, Akira Nagoya

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

This paper describes space-time resource tradeoff experiments carried out on the dynamically reconfigurable "Plastic Cell Architecture (PCA)" with cryptographic and evolutionary computation kernels. Data-path-oriented processing functionality is encapsulated in asynchronous hardware objects with variable graining and implemented using look-up tables. Communication (i.e. connectivity and control) between the distributed processing objects is achieved by means of inter-object message passing. The key point of the truly scalable, asynchronous PCA architecture is that it offers flexible low power pipeline processing combined with the ability to evolve new circuit functionality through on-line adaptation due to a uniform data and circuit representation and rich communication facilities.

Original languageEnglish
Title of host publicationProceedings - 15th International Parallel and Distributed Processing Symposium, IPDPS 2001
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1441-1449
Number of pages9
ISBN (Electronic)0769509908, 9780769509907
DOIs
Publication statusPublished - 2001
Externally publishedYes
Event15th International Parallel and Distributed Processing Symposium, IPDPS 2001 - San Francisco, United States
Duration: Apr 23 2001Apr 27 2001

Other

Other15th International Parallel and Distributed Processing Symposium, IPDPS 2001
CountryUnited States
CitySan Francisco
Period4/23/014/27/01

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Networks and Communications

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    Imlig, N., Shiozawa, T., Nagami, K., Nakane, Y., Konishi, R., Ito, H., & Nagoya, A. (2001). Scalable space/time-shared stream-processing on the run-time reconfigurable PCA architecture. In Proceedings - 15th International Parallel and Distributed Processing Symposium, IPDPS 2001 (pp. 1441-1449). [925127] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IPDPS.2001.925127