Abstract
The demands of data analysis and processing make the parallel computing platforms are continuously developed. But the existing parallel computing models which are the core of platforms present the characteristics of diversification, high pertinence and short cycle. So a synthetic model of supporting flexible platforms urgently needs to be researched. This work researches a synthetic model to shield the heterogeneity of parallel computing models under the theories of λ -calculus, functional language and graph reduction. Based on the MapReduce and BSP models, first of all, the performing principles of models are analyzed. And then the unified modalities of models are found. Finally, the synthetic model having high performance is developed with graph reduction rules, and the experiment results are also shown.
Sign-in/Register to access full text options 
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 callMore From: International Journal of Advanced Science and Technology
Disclaimer: 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.
