Variable Latency Rounding for Goldschmidt Algorithm with Parallel Remainder Estimation
This paper presents a rounding method for functional iteration algorithms. The new method is made up of a new rounding algorithm and the calculation of a remainder estimation. The rounding method uses the result directly obtained from the algorithm without any transformation. The remainder estimation is calculated in parallel with the algorithm execution. This allow us to avoid the conventional remainder calculation after obtaining result, most of the times. In this way, the final implementation has a variable latency. By using adequate configurations the remainder
calculation is only necessary in 9% of the total cases.
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Publication: Congress
1624015026039
June 18, 2021
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This paper presents a rounding method for functional iteration algorithms. The new method is made up of a new rounding algorithm and the calculation of a remainder estimation. The rounding method uses the result directly obtained from the algorithm without any transformation. The remainder estimation is calculated in parallel with the algorithm execution. This allow us to avoid the conventional remainder calculation after obtaining result, most of the times. In this way, the final implementation has a variable latency. By using adequate configurations the remainder
calculation is only necessary in 9% of the total cases. - D. Piso and J.D Bruguera - 10.1109/DSD.2009.165
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