Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  report on a high-level categorical parallel framework, written in the Aldor language, to support high-performance computer algebra on symmetric multi-processors and multi-core processors. This framework provides functions for dy-namic process management and data communication and synchronization via shared memory segments. A simple interface for user-level scheduling is also provided. Packages are developed for serializing and de-serializing high-level Al-dor objects, such as sparse multivariate polynomials, into arrays of machine integers for data transfer. Our bench-mark performance results show this framework is practically efficient for coarse-grained parallel symbolic computations.
['Marc Moreno Maza', 'Ben Stephenson', 'Stephen M. Watt', 'Yuzhen Xie']
I am writing a research paper on a idea Multiprocessed parallelism support in ALDOR on SMPs and multicores
[{"from": "human", "value": "I am writing a research paper on a idea Multiprocessed parallelism support in ALDOR on SMPs and multicores"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  report on a high-level categorical parallel framework, written in the Aldor language, to support high-performance computer algebra on symmetric multi-processors and multi-core processors. This framework provides functions for dy-namic process management and data communication and synchronization via shared memory segments. A simple interface for user-level scheduling is also provided. Packages are developed for serializing and de-serializing high-level Al-dor objects, such as sparse multivariate polynomials, into arrays of machine integers for data transfer. Our bench-mark performance results show this framework is practically efficient for coarse-grained parallel symbolic computations."}]