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Published Articles >> Table of Contents >> Abstract
International Symposium on Code Generation and Optimization (CGO'06)
pp. 269-280
Optimizing Dynamic Binary Translation for SIMD Instructions
Jianhui Li, Intel China Software Center
Qi Zhang, Intel China Software Center
Shu Xu, Intel China Software Center
Bo Huang, Intel China Software Center
Full Article Text:
 
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CGO.2006.27
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| Abstract |
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Dynamic binary translation technology allows a
program written for one architecture to be executed on
a second architecture without recompiling the source
code. Effective dynamic binary translation of SIMD
(Single Instruction Multiple Data) instructions has
become more and more important as SIMD extensions
have gained popularity among general-purpose CPUs
within the last decade. Many SIMD extensions allow
an SIMD1 register to hold data of different types at
different times. Supporting multiple data types within
the same register complicates the task of a dynamic
translator, which may or may not be able to determine
the type of the register at translation time. We propose
the SIMD data type tracking algorithm to translate the
SIMD instructions and three algorithms to further
optimize the translation. Our results show that the
three optimizing algorithms give overall 3.89%
performance improvement for SPEC2K INT
benchmarks and 6.61% for SPEC2K FP benchmarks.
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 Additional Information
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Citation:
Jianhui Li, Qi Zhang, Shu Xu, Bo Huang,
"Optimizing Dynamic Binary Translation for SIMD Instructions,"
cgo,
pp. 269-280,
International Symposium on Code Generation and Optimization (CGO'06),
2006
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