fimf-absolute-error, Qimf-absolute-error
Defines the maximum allowable absolute
error for math library function results.
This content is specific to C++; it does not apply to
DPC++
.Syntax
Linux:
-fimf-absolute-error
=
value
[
:
funclist
]
Windows:
/Qimf-absolute-error
:
value
[
:
funclist
]
Arguments
- value
- Is a positive, floating-point number. Errors in math library function results may exceed the maximum relative error (max-error) setting if the absolute-error is less than or equal tovalue.The format for the number is [digits] [.digits] [ { e | E }[sign]digits]
- funclist
- Is an optional list of one or more math library functions to which the attribute should be applied. If you specify more than one function, they must be separated with commas.Precision-specific variants like sin and sinf are considered different functions, so you would need to use-fimf-absolute-error=0.00001:sin,sinf(or/Qimf-absolute-error:0.00001:sin,sinf) to specify the maximum allowable absolute error for both the single-precision and double-precision sine functions.You also can specify the symbol /f to denote single-precision divides, symbol / to denote double-precision divides, symbol /l to denote extended-precision divides, and symbol /q to denote quad-precision divides. For example you can specify-fimf-absolute-error=0.00001:/or/Qimf-absolute-error: 0.00001:/.
Default
- Zero ("0")
- An absolute-error setting of 0 means that the function is bound by the relative error setting. This is the default behavior.
Description
This option defines the maximum allowable absolute error
for math library function results.
This option can improve run-time performance, but it may
decrease the accuracy of results.
This option only affects functions that have zero as a
possible return value, such as log, sin, asin, etc.
The relative error requirements for a particular function
are determined by options that set the maximum relative error (max-error) and
precision. The return value from a function must have a relative error less
than the max-error value, or an absolute error less than the absolute-error
value.
If you need to define the accuracy for a math function of
a certain precision, specify the function name of the precision that you need.
For example, if you want double precision, you can specify :sin; if you want
single precision, you can specify :sinf, as in
-fimf-absolute-error=0.00001:sin
or
/Qimf-absolute-error:0.00001:sin
, or
-fimf-absolute-error=0.00001:sqrtf
or
/Qimf-absolute-error:0.00001:sqrtf
.
If you do not specify any function names, then the
setting applies to all functions (and to all precisions). However, as soon as
you specify an individual function name, the setting applies only to the
function of corresponding precision. So, for example, sinf applies only to the
single-precision sine function, sin applies only to the double-precision sine
function, sinl applies only to the extended-precision sine function, etc.
Many routines in libraries LIBM (Math Library) and SVML
(Short Vector Math Library) are more highly optimized for Intel®
microprocessors than for non-Intel microprocessors.
Product and Performance Information
|
|---|
Performance varies by use, configuration and other factors. Learn more at
www.Intel.com/PerformanceIndex.
Notice revision #20201201
|
IDE Equivalent
None
Alternate Options
None