參數(shù)資料
型號(hào): 21928
英文描述: Low-Frequency, Spread-Spectrum EconOscillator
中文描述: 的AMD - K6 - 2E處理器數(shù)據(jù)手冊(cè)3DNow???技術(shù)手冊(cè)
文件頁(yè)數(shù): 19/72頁(yè)
文件大?。?/td> 845K
代理商: 21928
Chapter 1
3DNow! Technology
9
21928G/0—March 2000
3DNow! Technology Manual
Definitions
3DNow! technology provides 21 additional instructions to
support high-performance, 3D graphics and audio processing.
3DNow! instructions are vector instructions that operate on
64-bit registers. 3DNow! instructions are SIMD—each
instruction operates on pairs of 32-bit values.
The definitions for the 3DNow! instructions starting on page 17
contain designations classifying each instruction as vectored or
scalar. Vector instructions operate in parallel on two sets of
32-bit, single-precision, floating-point words. Instructions that
are labeled as scalar instructions operate on a single set of
32-bit operands (from the low halves of the two 64-bit
operands).
The 3DNow! single-precision, floating-point format is
compatible with the IEEE-754, single-precision format. This
format comprises a 1-bit sign, an 8-bit biased exponent, and a
23-bit significand with one hidden integer bit for a total of 24
bits in the significand. The bias of the exponent is 127,
consistent with the IEEE single-precision standard. The
significands are normalized to be within the range of [1,2).
In contrast to the IEEE standard that dictates four rounding
modes, 3DNow! technology supports one rounding mode —
either round-to-nearest or round-to-zero (truncation). The
hardware implementation of 3DNow! technology determines
the rounding mode. The AMD processors implement
round-to-nearest mode. Regardless of the rounding mode used,
the floating-point-to-integer and integer-to-floating-point
conversion instructions, PF2ID and PI2FD, always use the
round-to-zero (truncation) mode.
The largest, representable, normal number in magnitude for
this precision in hexadecimal has an exponent of FEh and a
significand of 7FFFFFh, with a numerical value of 2
127
(2 – 2
–23
).
All results that overflow above the maximum-representable
positive
value
are
saturated
maximum-representable normal number or to positive infinity.
Similarly, all results that overflow below the
minimum-representable negative value are saturated to either
to
either
this
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