Abstract
In this paper, we explore an efficient streaming implementation of Jacobi iteration on the Imagine platform. Especially, we develop four programming optimizations according to different stream organizations, involving using SP, dot product, row product and multi-row product methods, each highlighting different aspects of the underlying architecture. The experimental results show that the multi-row product optimization of Jacobi iteration on Imagine achieves 2.27 speedup over the corresponding serial program running on Itanium 2. It is certain that Jacobi iteration can efficiently exploit the tremendous potential of Imagine stream processor through programming optimization.
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Du, J., Yang, X., Yang, W., Tang, T., Wang, G. (2007). Implementation and Evaluation of Jacobi Iteration on the Imagine Stream Processor. In: Aluru, S., Parashar, M., Badrinath, R., Prasanna, V.K. (eds) High Performance Computing – HiPC 2007. HiPC 2007. Lecture Notes in Computer Science, vol 4873. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77220-0_23
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DOI: https://doi.org/10.1007/978-3-540-77220-0_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-77219-4
Online ISBN: 978-3-540-77220-0
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