Data flow graph-programming environment for embedded multiprocessing

Kerry B. Barnes; Y. N. Chen; W. I. Lundgren; Jeff S. Pridmore; J. A. Rivera; W. B. Schaming; L. E. Toombs

doi:10.1117/12.161442

20 October 1993 Data flow graph-programming environment for embedded multiprocessing

Kerry B. Barnes, Y. N. Chen, W. I. Lundgren, Jeff S. Pridmore, J. A. Rivera, W. B. Schaming, L. E. Toombs

Proceedings Volume 1957, Architecture, Hardware, and Forward-Looking Infrared Issues in Automatic Target Recognition; (1993) https://doi.org/10.1117/12.161442
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

Abstract

The GE Distributed Application Environment (GEDAE) is a graphical programming tool that facilitates the development of parallel distributed data flow applications on a heterogeneous network of processors. GEDAE provides a simple Motif interface, allowing the user to create, edit, control, and monitor hierarchical data flow graphs. GEDAE's simple programer interface makes it possible to easily create primitive function boxes by encapsulating existing software in a C language shell. GEDAE maintains much of the efficiency of special purpose code while hiding the details of network interconnection and data flow. GEDAE's data flow control software automatically takes advantage of any data parallelism or pipelining inherent in the constructed data flow graph. Data flow is efficient because objects cast or transfer themselves differently, depending on the type of data transfer, to optimize communications efficiency. An autocode generation capability provides the ability to automatically generate source code for multiprocessors and to efficiently support fine-grained data flow graphs. Currently, GEDAE is being enhanced to allow applications developed in a workstation environment to be mapped to embedded processors, for efficient execution.

Citation Download Citation

Kerry B. Barnes, Y. N. Chen, W. I. Lundgren, Jeff S. Pridmore, J. A. Rivera, W. B. Schaming, and L. E. Toombs "Data flow graph-programming environment for embedded multiprocessing", Proc. SPIE 1957, Architecture, Hardware, and Forward-Looking Infrared Issues in Automatic Target Recognition, (20 October 1993); https://doi.org/10.1117/12.161442

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