DocumentCode
649043
Title
Inexpensive correctly rounded floating-point division and square root with input scaling
Author
Viitanen, Timo ; Jaaskelainen, Pekka ; Takala, Jarmo
Author_Institution
Tampere Univ. of Technol., Tampere, Finland
fYear
2013
fDate
16-18 Oct. 2013
Firstpage
159
Lastpage
164
Abstract
Recent embedded DSPs are incorporating IEEE-compliant floating point arithmetic to ease the development of, e.g., multiple antenna MIMO in software-defined radio. An obvious choice of FPU architecture in DSP is to include a fused multiply-add (FMA) operation, which accelerates most DSP applications. Another advantage of FMA is that it enables fast software algorithms for, e.g., division and square root without much additional hardware. However, these algorithms are nontrivial to perform at the target accuracy to get the correctly rounded result without danger of overflow. Previous FMA-based systems either rely on a power-hungry wide intermediate format or forego correct rounding. A wide format is unattractive in a power-sensitive embedded environment since it requires enlarged register files, wider data buses and possibly a larger multiplier. We present provably correct algorithms for efficient IEEE-compliant division and square root with only a 32-bit format using hardware prescaling and postscaling steps. The required hardware has approximately 8% of area and power footprint of a single FMA unit.
Keywords
MIMO communication; antenna arrays; digital signal processing chips; floating point arithmetic; software radio; FMA operation; IEEE-compliant division; IEEE-compliant floating point arithmetic; data buses; embedded DSP; floating-point division; forego correct rounding; fused multiply-add operation; hardware prescaling; input scaling; multiple antenna MIMO; postscaling; software algorithms; software-defined radio; square root; DSP; FPU; Fused multiply-add; division; square root;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Systems (SiPS), 2013 IEEE Workshop on
Conference_Location
Taipei City
ISSN
2162-3562
Type
conf
DOI
10.1109/SiPS.2013.6674498
Filename
6674498
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