Sparse Cholesky Factorization on FPGA Using Parameterized Model
Cholesky factorization is a fundamental problem in most engineering and science computation applications. When dealing with a large sparse matrix, numerical decomposition consumes the most time. We present a vector architecture to parallelize numerical decomposition of Cholesky factorization. We con...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2017-01-01
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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2017/3021591 |