Abstract
This paper describes the current status of a project for multithreading algebraic computations, which aims at the utilization of today’s high-spec PCs with hyperthreading or dual-core technologies. Our effort is done by applying OpenXM with minimal cost of development, and includes memory management in multithreaded environment. Our empirical results show that the performance gain can be attained in numeric cases and in some cases of purely symbolic computations.
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© 2006 Springer-Verlag Berlin Heidelberg
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Murao, H. (2006). Experiment of Multithreading Symbolic and Algebraic Computations with OpenMP. In: Iglesias, A., Takayama, N. (eds) Mathematical Software - ICMS 2006. ICMS 2006. Lecture Notes in Computer Science, vol 4151. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11832225_44
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DOI: https://doi.org/10.1007/11832225_44
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-38084-9
Online ISBN: 978-3-540-38086-3
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