Abstract
This paper presents the quantitative performance results obtained from converting a large sequential Multi-Sensor Integration (MSI) program into a concurrent form, and executing the program on an NCUBE hypercube computer for several test case scenarios. Each sensor track was assigned to a different node of the hypercube where computationally intensive calculations were performed, A 4-node hypercube was found to be the optimal size for the test case scenario discussed here, where speed-up factors of 1.5 to 1.7 were obtained. A completely concurrent MSI algorithm is also presented.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
