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//===-- lib/divdf3.c - Double-precision division ------------------*- C -*-===// |
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// |
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// The LLVM Compiler Infrastructure |
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// |
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// This file is dual licensed under the MIT and the University of Illinois Open |
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// Source Licenses. See LICENSE.TXT for details. |
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// |
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//===----------------------------------------------------------------------===// |
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// |
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// This file implements double-precision soft-float division |
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// with the IEEE-754 default rounding (to nearest, ties to even). |
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// |
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// For simplicity, this implementation currently flushes denormals to zero. |
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// It should be a fairly straightforward exercise to implement gradual |
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// underflow with correct rounding. |
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// |
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//===----------------------------------------------------------------------===// |
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#define DOUBLE_PRECISION |
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#include "fp_lib.h" |
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ARM_EABI_FNALIAS(ddiv, divdf3) |
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COMPILER_RT_ABI fp_t |
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__divdf3(fp_t a, fp_t b) { |
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const unsigned int aExponent = toRep(a) >> significandBits & maxExponent; |
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const unsigned int bExponent = toRep(b) >> significandBits & maxExponent; |
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const rep_t quotientSign = (toRep(a) ^ toRep(b)) & signBit; |
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rep_t aSignificand = toRep(a) & significandMask; |
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rep_t bSignificand = toRep(b) & significandMask; |
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int scale = 0; |
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// Detect if a or b is zero, denormal, infinity, or NaN. |
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if (aExponent-1U >= maxExponent-1U || bExponent-1U >= maxExponent-1U) { |
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const rep_t aAbs = toRep(a) & absMask; |
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const rep_t bAbs = toRep(b) & absMask; |
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// NaN / anything = qNaN |
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if (aAbs > infRep) return fromRep(toRep(a) | quietBit); |
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// anything / NaN = qNaN |
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if (bAbs > infRep) return fromRep(toRep(b) | quietBit); |
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if (aAbs == infRep) { |
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// infinity / infinity = NaN |
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if (bAbs == infRep) return fromRep(qnanRep); |
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// infinity / anything else = +/- infinity |
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else return fromRep(aAbs | quotientSign); |
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} |
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// anything else / infinity = +/- 0 |
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if (bAbs == infRep) return fromRep(quotientSign); |
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if (!aAbs) { |
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// zero / zero = NaN |
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if (!bAbs) return fromRep(qnanRep); |
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// zero / anything else = +/- zero |
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else return fromRep(quotientSign); |
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} |
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// anything else / zero = +/- infinity |
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if (!bAbs) return fromRep(infRep | quotientSign); |
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// one or both of a or b is denormal, the other (if applicable) is a |
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// normal number. Renormalize one or both of a and b, and set scale to |
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// include the necessary exponent adjustment. |
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if (aAbs < implicitBit) scale += normalize(&aSignificand); |
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if (bAbs < implicitBit) scale -= normalize(&bSignificand); |
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} |
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// Or in the implicit significand bit. (If we fell through from the |
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// denormal path it was already set by normalize( ), but setting it twice |
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// won't hurt anything.) |
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aSignificand |= implicitBit; |
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bSignificand |= implicitBit; |
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int quotientExponent = aExponent - bExponent + scale; |
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// Align the significand of b as a Q31 fixed-point number in the range |
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// [1, 2.0) and get a Q32 approximate reciprocal using a small minimax |
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// polynomial approximation: reciprocal = 3/4 + 1/sqrt(2) - b/2. This |
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// is accurate to about 3.5 binary digits. |
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const uint32_t q31b = bSignificand >> 21; |
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uint32_t recip32 = UINT32_C(0x7504f333) - q31b; |
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// Now refine the reciprocal estimate using a Newton-Raphson iteration: |
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// |
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// x1 = x0 * (2 - x0 * b) |
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// |
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// This doubles the number of correct binary digits in the approximation |
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// with each iteration, so after three iterations, we have about 28 binary |
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// digits of accuracy. |
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uint32_t correction32; |
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correction32 = -((uint64_t)recip32 * q31b >> 32); |
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recip32 = (uint64_t)recip32 * correction32 >> 31; |
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correction32 = -((uint64_t)recip32 * q31b >> 32); |
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recip32 = (uint64_t)recip32 * correction32 >> 31; |
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correction32 = -((uint64_t)recip32 * q31b >> 32); |
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recip32 = (uint64_t)recip32 * correction32 >> 31; |
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// recip32 might have overflowed to exactly zero in the preceding |
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// computation if the high word of b is exactly 1.0. This would sabotage |
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// the full-width final stage of the computation that follows, so we adjust |
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// recip32 downward by one bit. |
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recip32--; |
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// We need to perform one more iteration to get us to 56 binary digits; |
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// The last iteration needs to happen with extra precision. |
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const uint32_t q63blo = bSignificand << 11; |
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uint64_t correction, reciprocal; |
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correction = -((uint64_t)recip32*q31b + ((uint64_t)recip32*q63blo >> 32)); |
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uint32_t cHi = correction >> 32; |
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uint32_t cLo = correction; |
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reciprocal = (uint64_t)recip32*cHi + ((uint64_t)recip32*cLo >> 32); |
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// We already adjusted the 32-bit estimate, now we need to adjust the final |
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// 64-bit reciprocal estimate downward to ensure that it is strictly smaller |
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// than the infinitely precise exact reciprocal. Because the computation |
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// of the Newton-Raphson step is truncating at every step, this adjustment |
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// is small; most of the work is already done. |
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reciprocal -= 2; |
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// The numerical reciprocal is accurate to within 2^-56, lies in the |
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// interval [0.5, 1.0), and is strictly smaller than the true reciprocal |
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// of b. Multiplying a by this reciprocal thus gives a numerical q = a/b |
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// in Q53 with the following properties: |
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// |
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// 1. q < a/b |
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// 2. q is in the interval [0.5, 2.0) |
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// 3. the error in q is bounded away from 2^-53 (actually, we have a |
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// couple of bits to spare, but this is all we need). |
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// We need a 64 x 64 multiply high to compute q, which isn't a basic |
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// operation in C, so we need to be a little bit fussy. |
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rep_t quotient, quotientLo; |
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wideMultiply(aSignificand << 2, reciprocal, "ient, "ientLo); |
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// Two cases: quotient is in [0.5, 1.0) or quotient is in [1.0, 2.0). |
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// In either case, we are going to compute a residual of the form |
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// |
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// r = a - q*b |
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// |
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// We know from the construction of q that r satisfies: |
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// |
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// 0 <= r < ulp(q)*b |
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// |
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// if r is greater than 1/2 ulp(q)*b, then q rounds up. Otherwise, we |
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// already have the correct result. The exact halfway case cannot occur. |
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// We also take this time to right shift quotient if it falls in the [1,2) |
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// range and adjust the exponent accordingly. |
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rep_t residual; |
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if (quotient < (implicitBit << 1)) { |
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residual = (aSignificand << 53) - quotient * bSignificand; |
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quotientExponent--; |
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} else { |
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quotient >>= 1; |
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residual = (aSignificand << 52) - quotient * bSignificand; |
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} |
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const int writtenExponent = quotientExponent + exponentBias; |
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if (writtenExponent >= maxExponent) { |
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// If we have overflowed the exponent, return infinity. |
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return fromRep(infRep | quotientSign); |
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} |
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else if (writtenExponent < 1) { |
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// Flush denormals to zero. In the future, it would be nice to add |
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// code to round them correctly. |
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return fromRep(quotientSign); |
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} |
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else { |
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const bool round = (residual << 1) > bSignificand; |
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// Clear the implicit bit |
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rep_t absResult = quotient & significandMask; |
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// Insert the exponent |
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absResult |= (rep_t)writtenExponent << significandBits; |
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// Round |
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absResult += round; |
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// Insert the sign and return |
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const double result = fromRep(absResult | quotientSign); |
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return result; |
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} |
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} |