Subnormal: Difference between revisions

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'''Subnormal''' [[floating point]] values (also known as '''denormal''') are too small to be normalized yet can still be represented [http://www.intel.com/software/products/compilers/docs/fmac/doc_files/source/extfile/fpops_for/common/fpops_denormal_num.htm].  Depending on the specific computation, they may provide additional, useful precision.  However, managing these values typically causes major slowdowns in a [[Central processing unit|CPU]]'s [[floating point unit]] [http://www.intel.com/software/products/documentation/vlin/mergedprojects/analyzer_ec/mergedprojects/reference_olh/pentium4_hh/advice4_hh/found_x87_denormal_numbers_.htm].   
'''Subnormal''' [[floating point]] values (also known as '''denormal''') are too small to be normalized yet can still be represented [http://www.intel.com/software/products/compilers/docs/fmac/doc_files/source/extfile/fpops_for/common/fpops_denormal_num.htm].  Depending on the specific computation, they may provide additional, useful precision.  However, managing these values typically causes major slowdowns in a [[Central processing unit|CPU]]'s [[floating point unit]] [http://www.intel.com/software/products/documentation/vlin/mergedprojects/analyzer_ec/mergedprojects/reference_olh/pentium4_hh/advice4_hh/found_x87_denormal_numbers_.htm].   


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For some CPU architectures, it is possible to control the treatment of subnormals.  For instance, these values can automatically be rounded to zero.
For some CPU architectures, it is possible to control the treatment of subnormals.  For instance, these values can automatically be rounded to zero.
[[Category:Computers Workgroup]]

Latest revision as of 19:04, 20 December 2007

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Subnormal floating point values (also known as denormal) are too small to be normalized yet can still be represented [1]. Depending on the specific computation, they may provide additional, useful precision. However, managing these values typically causes major slowdowns in a CPU's floating point unit [2].

For the Intel x86 architecture, floats between 1.17549429E-38 and 1.40129846E-45 are denormalized while for doubles the range is 2.2250738585072008D-308 and 4.94065645841246544D-324. [3]

For some CPU architectures, it is possible to control the treatment of subnormals. For instance, these values can automatically be rounded to zero.