Novel technique for parallel computations using associative dataflow processor

Tariq Jamil*, R. G. Deshmukh

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review


The prevalent concepts of control-flow and data-flow to build computers have their limitations and weaknesses in exploiting parallelism to the utmost limit. Hence, this paper presents a novel technique to handle parallel computations, called associative dataflow. This approach eliminates the major bottleneck in dataflow architectures concerning the matching of tokens and enhancement of their performance. Preliminary results have indicated faster execution speed and higher ALU utilization for the proposed model compared to conventional dataflow model. These results forecast a promising future for associative dataflow model of computations.

Original languageEnglish
Pages (from-to)322-328
Number of pages7
JournalConference Proceedings - IEEE SOUTHEASTCON
Publication statusPublished - 1995
Externally publishedYes
EventProceedings of the IEEE Southeastcon '95 Conference - Raleigh, NC, USA
Duration: Mar 26 1995Mar 29 1995

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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