FastMath dist

Average Error: 0.0 → 0.0

Time: 12.9s

Precision: 64

Math

\[d1 \cdot d2 + d1 \cdot d3\]

↓

\[\mathsf{fma}\left(d1, d2, d1 \cdot d3\right)\]

C

double f(double d1, double d2, double d3) {
        double r24978053 = d1;
        double r24978054 = d2;
        double r24978055 = r24978053 * r24978054;
        double r24978056 = d3;
        double r24978057 = r24978053 * r24978056;
        double r24978058 = r24978055 + r24978057;
        return r24978058;
}

↓

double f(double d1, double d2, double d3) {
        double r24978059 = d1;
        double r24978060 = d2;
        double r24978061 = d3;
        double r24978062 = r24978059 * r24978061;
        double r24978063 = fma(r24978059, r24978060, r24978062);
        return r24978063;
}

Error

Bits error versus d1

Bits error versus d2

Bits error versus d3

Target

Original	0.0
Target	0.0
Herbie	0.0

\[d1 \cdot \left(d2 + d3\right)\]

Derivation

1. Initial program 0.0

   \[d1 \cdot d2 + d1 \cdot d3\]
2. Using strategy rm

3. Applied fma-def 0.0

   \[\leadsto \color{blue}{\mathsf{fma}\left(d1, d2, d1 \cdot d3\right)}\]

4. Final simplification 0.0

   \[\leadsto \mathsf{fma}\left(d1, d2, d1 \cdot d3\right)\]

Reproduce

herbie shell --seed 2019173 +o rules:numerics
(FPCore (d1 d2 d3)
  :name "FastMath dist"

  :herbie-target
  (* d1 (+ d2 d3))

  (+ (* d1 d2) (* d1 d3)))