Parallel Software to Offset the Cost of Higher Precision
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Use Case
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Hardware double precision is often insufficient to solve large scientific problems accurately. Computing in higher precision defined by software causes significant computational overhead. The application of parallel algorithms compensates for this overhead. Newton's method to develop power series expansions of algebraic space curves is the use case for this application.
1989 ◽
Vol 11
(3-4)
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pp. 215-222
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1966 ◽
Vol 16
(18)
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pp. 787-788
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1957 ◽
Vol 64
(4)
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pp. 236-240
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2013 ◽
Vol 09
(06)
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pp. 1447-1474
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1990 ◽
Vol 30
(2)
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pp. 259-270
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