Automatic generation of stream descriptors for streaming architectures

Lei Gao*, David Zaretsky, Gaurav Mittal, Dan Schonfeld, Prith Banerjee

*Corresponding author for this work

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

1 Scopus citations


We describe a novel approach for automatically generating streaming architectures from software programs. While existing systems require user-defined stream models, our method automatically identifies producer-consumer streaming relationships and translates them into streaming architectures. Data streams between producer-consumer kernels are represented using a combination of stream descriptors and CFGs, which are categorized into four stream types. A bridge module is generated based on the stream type in the streaming architecture to facilitate data streaming between each producer-consumer pair. Several optimizations are also developed to improve throughput and parallelism. We demonstrate our results on a FPGA based platform. The automatically generated streaming architectures show 1.5-3x speedups over the non-streaming designs by employing spatial and temporal data independence to increase parallelism.

Original languageEnglish (US)
Title of host publicationProceedings - 39th International Conference on Parallel Processing, ICPP 2010
Number of pages6
StatePublished - 2010
Externally publishedYes
Event39th International Conference on Parallel Processing, ICPP 2010 - San Diego, CA, United States
Duration: Sep 13 2010Sep 16 2010

Publication series

NameProceedings of the International Conference on Parallel Processing
ISSN (Print)0190-3918


Conference39th International Conference on Parallel Processing, ICPP 2010
Country/TerritoryUnited States
CitySan Diego, CA

ASJC Scopus subject areas

  • Software
  • General Mathematics
  • Hardware and Architecture


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