2016 IEEE International Workshop on Signal Processing Systems (SiPS) 2016
DOI: 10.1109/sips.2016.52
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Efficient Emulation of Floating-Point Arithmetic on Fixed-Point SIMD Processors

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Cited by 6 publications
(1 citation statement)
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“…Some operations on custom formats are slower, since the library executes all the computations in software. This issue can be solved by using acceleration techniques based on SIMD integer units [46]. However the use of a new FP format requires to deeply modify the library sources, while FlexFloat allows to describe any format by invoking an API function to initialize the variable format.…”
Section: Related Workmentioning
confidence: 99%
“…Some operations on custom formats are slower, since the library executes all the computations in software. This issue can be solved by using acceleration techniques based on SIMD integer units [46]. However the use of a new FP format requires to deeply modify the library sources, while FlexFloat allows to describe any format by invoking an API function to initialize the variable format.…”
Section: Related Workmentioning
confidence: 99%