DocumentCode :
1013735
Title :
Accelerating correctly rounded floating-point division when the divisor is known in advance
Author :
Brisebarre, Nicolas ; Muller, Jean-Michel ; Raina, Saurabh Kumar
Author_Institution :
Lab. LIP-IMAG, Ecole Normale Superieure de Lyon, France
Volume :
53
Issue :
8
fYear :
2004
Firstpage :
1069
Lastpage :
1072
Abstract :
We present techniques for accelerating the floating-point computation of x/y when y is known before x. The proposed algorithms are oriented toward architectures with available fused-mac operations. The goal is to get exactly the same result as with usual division with rounding to nearest. It is known that the advanced computation of 1/y allows performing correctly rounded division in one multiplication plus two fused-macs. We show algorithms that reduce this latency to one multiplication and one fused-mac. This is achieved if a precision of at least n+1 bits is available, where n is the number of mantissa bits in the target format, or if y satisfies some properties that can be easily checked at compile-time. This requires a double-word approximation of 1/y (we also show how to get it). Compilers to accelerate some numerical programs without loss of accuracy can use these techniques.
Keywords :
floating point arithmetic; optimising compilers; roundoff errors; computer arithmetic; double-word approximation; fused-mac operation; optimizing compiler; rounded floating-point division; Acceleration; Application software; Computer architecture; Costs; Delay; Floating-point arithmetic; Iterative algorithms; Program processors; Runtime; Testing; 65; Computer arithmetic; compilation optimization.; division by software; division with fused-mac; floating-point arithmetic;
fLanguage :
English
Journal_Title :
Computers, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9340
Type :
jour
DOI :
10.1109/TC.2004.37
Filename :
1306999
Link To Document :
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