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• W2753283944 abstract "This paper introduces a new method for computing matrix exponential based on truncated Neumann series. The efficiency of the method is based on smart factorizations for evaluation of several Neumann series that can be done in parallel and divided across different processors with low communication overhead. A physical realization on FPGA is provided for proof-of-concept. The method is verified to be advantageous over the usual Horner's rule approach for polynomial evaluation. The hardware verification shows a reduction of 62% in time required for processing for series approximations with 9 terms. Software verification demonstrates a 30% reduction in time compared to Horner's rule and the trade-offs between using a higher precision approach is illustrated." @default.
• W2753283944 created "2017-09-15" @default.
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• W2753283944 date "2017-07-01" @default.
• W2753283944 modified "2023-09-24" @default.
• W2753283944 title "A Parallel Method for the Computation of Matrix Exponential Based on Truncated Neumann Series" @default.
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• W2753283944 doi "https://doi.org/10.1109/arith.2017.23" @default.
• W2753283944 hasPublicationYear "2017" @default.
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