論文

査読有り
2008年

A 937.5 ns multi-context holographic configuration with a 30-75 mu s retention time

2008 IEEE INTERNATIONAL SYMPOSIUM ON PARALLEL & DISTRIBUTED PROCESSING, VOLS 1-8
  • Mao Nakajima
  • ,
  • Daisaku Seto
  • ,
  • Minoru Watanabe

開始ページ
3502
終了ページ
3507
記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1109/IPDPS.2008.4536539
出版者・発行元
IEEE

Optically reconfigurable gate arrays (ORGAs) have been developed to realize a large virtual gate count by adding a holographic memory onto a programmable gate array VLSI. However in ORGAs, although a large virtual gate count can be realized by exploiting the large capacity storage capability of a holographic memory, the actual gate count, which is the gate count of a programmable gate array VLSI, is still important to increase the instantaneous performance. Nevertheless, in previously proposed ORGA-VLSIs, the static configuration memory to store a single configuration context consumed a large implementation area of the ORGA-VLSIs and prevented the realization of large-gate-count ORGA-VLSIs. Therefore, to increase the gate density, a dynamic optically reconfigurable gate array (DORGA) architecture has been proposed. It uses the junction capacitance of photodiodes as dynamic memory, thereby obviating the static configuration memory. However to date, although only a 1.83-1.89 ms single-context holographic configuration and a retention time of 3.495.61 s of DORGA architecture have been confirmed, the performance at nanosecond-scale reconfiguration with a multi-context DORGA architecture has never been analyzed. Therefore, this paper presents the experimental result of a 937.5 ns multi-context holographic configuration and a 30.75 mu s retention time of DORGA architecture. The advantages of this architecture are discussed in relation to the results of this study.

リンク情報
DOI
https://doi.org/10.1109/IPDPS.2008.4536539
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000258501402091&DestApp=WOS_CPL
ID情報
  • DOI : 10.1109/IPDPS.2008.4536539
  • Web of Science ID : WOS:000258501402091

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