| Alternative 1 | |
|---|---|
| Accuracy | 100.0% |
| Cost | 6720 |
\[\mathsf{fma}\left(x, x, y \cdot y\right)
\]
(FPCore (x y) :precision binary64 (+ (* x x) (* y y)))
(FPCore (x y) :precision binary64 (fma y y (* x x)))
double code(double x, double y) {
return (x * x) + (y * y);
}
double code(double x, double y) {
return fma(y, y, (x * x));
}
function code(x, y) return Float64(Float64(x * x) + Float64(y * y)) end
function code(x, y) return fma(y, y, Float64(x * x)) end
code[x_, y_] := N[(N[(x * x), $MachinePrecision] + N[(y * y), $MachinePrecision]), $MachinePrecision]
code[x_, y_] := N[(y * y + N[(x * x), $MachinePrecision]), $MachinePrecision]
x \cdot x + y \cdot y
\mathsf{fma}\left(y, y, x \cdot x\right)
Initial program 100.0%
Taylor expanded in x around 0 100.0%
Simplified100.0%
[Start]100.0 | \[ {y}^{2} + {x}^{2}
\] |
|---|---|
unpow2 [=>]100.0 | \[ \color{blue}{y \cdot y} + {x}^{2}
\] |
unpow2 [=>]100.0 | \[ y \cdot y + \color{blue}{x \cdot x}
\] |
fma-udef [<=]100.0 | \[ \color{blue}{\mathsf{fma}\left(y, y, x \cdot x\right)}
\] |
Final simplification100.0%
| Alternative 1 | |
|---|---|
| Accuracy | 100.0% |
| Cost | 6720 |
| Alternative 2 | |
|---|---|
| Accuracy | 68.6% |
| Cost | 589 |
| Alternative 3 | |
|---|---|
| Accuracy | 100.0% |
| Cost | 448 |
| Alternative 4 | |
|---|---|
| Accuracy | 55.8% |
| Cost | 192 |
herbie shell --seed 2023122
(FPCore (x y)
:name "Graphics.Rasterific.Linear:$cquadrance from Rasterific-0.6.1"
:precision binary64
(+ (* x x) (* y y)))