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Better exp polynomial
The lesser the __mul calls, the better it is for performance.
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@ -1,5 +1,8 @@
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2013-02-13 Siddhesh Poyarekar <siddhesh@redhat.com>
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* sysdeps/ieee754/dbl-64/mpexp.c (__mpexp): Faster polynomial
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evaluation.
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* sysdeps/ieee754/dbl-64/mpa.c (__mul): Don't bother with zero
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values in the mantissa.
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@ -49,6 +49,15 @@ __mpexp (mp_no *x, mp_no *y, int p)
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0, 0, 0, 0, 3, 3, 4, 4, 5, 4, 4, 5, 5, 5, 6, 6, 6, 6, 6, 6,
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6, 6, 6, 6, 7, 7, 7, 7, 8, 8, 8, 8, 8
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};
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/* Factorials for the values of np above. */
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static const double nfa[33] =
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{
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1.0, 1.0, 1.0, 1.0, 6.0, 6.0, 24.0, 24.0, 120.0, 24.0, 24.0,
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120.0, 120.0, 120.0, 720.0, 720.0, 720.0, 720.0, 720.0, 720.0,
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720.0, 720.0, 720.0, 720.0, 5040.0, 5040.0, 5040.0, 5040.0,
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40320.0, 40320.0, 40320.0, 40320.0, 40320.0
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};
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static const int m1p[33] =
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{
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0, 0, 0, 0,
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@ -71,16 +80,7 @@ __mpexp (mp_no *x, mp_no *y, int p)
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{0, 0, 0, 0, 0, 0, 0, 0, 27, 0, 0, 39, 43, 47, 51, 55, 59, 63},
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{0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 43, 47, 50, 54}
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};
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mp_no mpk =
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{
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0,
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{
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0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
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0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0,
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0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0
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}
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};
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mp_no mps, mpak, mpt1, mpt2;
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mp_no mps, mpk, mpt1, mpt2;
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/* Choose m,n and compute a=2**(-m). */
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n = np[p];
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@ -115,24 +115,38 @@ __mpexp (mp_no *x, mp_no *y, int p)
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break;
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}
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/* Compute s=x*2**(-m). Put result in mps. */
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/* Compute s=x*2**(-m). Put result in mps. This is the range-reduced input
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that we will use to compute e^s. For the final result, simply raise it
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to 2^m. */
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__pow_mp (-m, &mpt1, p);
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__mul (x, &mpt1, &mps, p);
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/* Evaluate the polynomial. Put result in mpt2. */
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mpk.e = 1;
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mpk.d[0] = ONE;
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mpk.d[1] = n;
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__dvd (&mps, &mpk, &mpt1, p);
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__add (&mpone, &mpt1, &mpak, p);
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for (k = n - 1; k > 1; k--)
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/* Compute the Taylor series for e^s:
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1 + x/1! + x^2/2! + x^3/3! ...
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for N iterations. We compute this as:
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e^x = 1 + (x * n!/1! + x^2 * n!/2! + x^3 * n!/3!) / n!
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= 1 + (x * (n!/1! + x * (n!/2! + x * (n!/3! + x ...)))) / n!
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n! is pre-computed and saved while k! is computed on the fly. */
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__cpy (&mps, &mpt2, p);
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double kf = 1.0;
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/* Evaluate the rest. The result will be in mpt2. */
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for (k = n - 1; k > 0; k--)
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{
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__mul (&mps, &mpak, &mpt1, p);
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mpk.d[1] = k;
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__dvd (&mpt1, &mpk, &mpt2, p);
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__add (&mpone, &mpt2, &mpak, p);
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/* n! / k! = n * (n - 1) ... * (n - k + 1) */
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kf *= k + 1;
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__dbl_mp (kf, &mpk, p);
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__add (&mpt2, &mpk, &mpt1, p);
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__mul (&mps, &mpt1, &mpt2, p);
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}
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__mul (&mps, &mpak, &mpt1, p);
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__dbl_mp (nfa[p], &mpk, p);
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__dvd (&mpt2, &mpk, &mpt1, p);
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__add (&mpone, &mpt1, &mpt2, p);
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/* Raise polynomial value to the power of 2**m. Put result in y. */
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