| Alternative 1 | |
|---|---|
| Accuracy | 99.6% |
| Cost | 6720 |
\[\mathsf{fma}\left(x, y, z \cdot t\right)
\]

(FPCore (x y z t) :precision binary64 (+ (* x y) (* z t)))
(FPCore (x y z t) :precision binary64 (fma x y (* z t)))
double code(double x, double y, double z, double t) {
return (x * y) + (z * t);
}
double code(double x, double y, double z, double t) {
return fma(x, y, (z * t));
}
function code(x, y, z, t) return Float64(Float64(x * y) + Float64(z * t)) end
function code(x, y, z, t) return fma(x, y, Float64(z * t)) end
code[x_, y_, z_, t_] := N[(N[(x * y), $MachinePrecision] + N[(z * t), $MachinePrecision]), $MachinePrecision]
code[x_, y_, z_, t_] := N[(x * y + N[(z * t), $MachinePrecision]), $MachinePrecision]
x \cdot y + z \cdot t
\mathsf{fma}\left(x, y, z \cdot t\right)
Herbie found 4 alternatives:
| Alternative | Accuracy | Speedup |
|---|
Initial program 99.2%
Simplified100.0%
[Start]99.2% | \[ x \cdot y + z \cdot t
\] |
|---|---|
fma-def [=>]100.0% | \[ \color{blue}{\mathsf{fma}\left(x, y, z \cdot t\right)}
\] |
Final simplification100.0%
| Alternative 1 | |
|---|---|
| Accuracy | 99.6% |
| Cost | 6720 |
| Alternative 2 | |
|---|---|
| Accuracy | 68.8% |
| Cost | 456 |
| Alternative 3 | |
|---|---|
| Accuracy | 99.3% |
| Cost | 448 |
| Alternative 4 | |
|---|---|
| Accuracy | 51.0% |
| Cost | 192 |
herbie shell --seed 2023272
(FPCore (x y z t)
:name "Linear.V2:$cdot from linear-1.19.1.3, A"
:precision binary64
(+ (* x y) (* z t)))