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[dmd-cxx] Backport internal.convert, toPrec, SIMD aliases. #3063
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… float and double
Some floating point algorithms, such as Kahan-Babuska-Neumaier Summation, require rounding to specific precisions. Rounding to precision after every operation, however, loses overall precision in the general case and is a runtime performance problem. Adding these functions guarantee the rounding at required points in the code, and document where in the algorithm the requirement exists.
…ing IBM 128bit floats
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Testing this PR locallyIf you don't have a local development environment setup, you can use Digger to test this PR: dub run digger -- build "dmd-cxx + druntime#3063" |
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* New core.math.toPrec templates have been added as an intrinsic. Some floating point algorithms, such as Kahan-Babuska-Neumaier Summation, require rounding to specific precisions. Rounding to precision after every operation, however, loses overall precision in the general case and is a runtime performance problem. Adding these functions guarantee the rounding at required points in the code, and document where in the algorithm the requirement exists. * Support IBM long double types in core.internal.convert. * Add missing aliases for 64-bit vectors in core.simd. * RUNNABLE_PHOBOS_TEST directive has been properly integrated into the D2 language testsuite. Reviewed-on: dlang/druntime#3063 dlang/dmd#11054 gcc/d/ChangeLog: * intrinsics.cc (expand_intrinsic_toprec): New function. (maybe_expand_intrinsic): Handle toPrec intrinsics. * intrinsics.def (TOPRECF, TOPREC, TOPRECL): Add toPrec intrinsics.
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