Disney BSSRDF, PDF of scattering profile

Percentage Accurate: 99.6% → 99.6%
Time: 16.9s
Alternatives: 17
Speedup: N/A×

Specification

?
\[\left(0 \leq s \land s \leq 256\right) \land \left(10^{-6} < r \land r < 1000000\right)\]
\[\begin{array}{l} \\ \frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \pi\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \pi\right) \cdot s\right) \cdot r} \end{array} \]
(FPCore (s r)
 :precision binary32
 (+
  (/ (* 0.25 (exp (/ (- r) s))) (* (* (* 2.0 PI) s) r))
  (/ (* 0.75 (exp (/ (- r) (* 3.0 s)))) (* (* (* 6.0 PI) s) r))))
float code(float s, float r) {
	return ((0.25f * expf((-r / s))) / (((2.0f * ((float) M_PI)) * s) * r)) + ((0.75f * expf((-r / (3.0f * s)))) / (((6.0f * ((float) M_PI)) * s) * r));
}
function code(s, r)
	return Float32(Float32(Float32(Float32(0.25) * exp(Float32(Float32(-r) / s))) / Float32(Float32(Float32(Float32(2.0) * Float32(pi)) * s) * r)) + Float32(Float32(Float32(0.75) * exp(Float32(Float32(-r) / Float32(Float32(3.0) * s)))) / Float32(Float32(Float32(Float32(6.0) * Float32(pi)) * s) * r)))
end
function tmp = code(s, r)
	tmp = ((single(0.25) * exp((-r / s))) / (((single(2.0) * single(pi)) * s) * r)) + ((single(0.75) * exp((-r / (single(3.0) * s)))) / (((single(6.0) * single(pi)) * s) * r));
end
\begin{array}{l}

\\
\frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \pi\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \pi\right) \cdot s\right) \cdot r}
\end{array}

Sampling outcomes in binary32 precision:

Local Percentage Accuracy vs ?

The average percentage accuracy by input value. Horizontal axis shows value of an input variable; the variable is choosen in the title. Vertical axis is accuracy; higher is better. Red represent the original program, while blue represents Herbie's suggestion. These can be toggled with buttons below the plot. The line is an average while dots represent individual samples.

Accuracy vs Speed?

Herbie found 17 alternatives:

AlternativeAccuracySpeedup
The accuracy (vertical axis) and speed (horizontal axis) of each alternatives. Up and to the right is better. The red square shows the initial program, and each blue circle shows an alternative.The line shows the best available speed-accuracy tradeoffs.

Initial Program: 99.6% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \pi\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \pi\right) \cdot s\right) \cdot r} \end{array} \]
(FPCore (s r)
 :precision binary32
 (+
  (/ (* 0.25 (exp (/ (- r) s))) (* (* (* 2.0 PI) s) r))
  (/ (* 0.75 (exp (/ (- r) (* 3.0 s)))) (* (* (* 6.0 PI) s) r))))
float code(float s, float r) {
	return ((0.25f * expf((-r / s))) / (((2.0f * ((float) M_PI)) * s) * r)) + ((0.75f * expf((-r / (3.0f * s)))) / (((6.0f * ((float) M_PI)) * s) * r));
}
function code(s, r)
	return Float32(Float32(Float32(Float32(0.25) * exp(Float32(Float32(-r) / s))) / Float32(Float32(Float32(Float32(2.0) * Float32(pi)) * s) * r)) + Float32(Float32(Float32(0.75) * exp(Float32(Float32(-r) / Float32(Float32(3.0) * s)))) / Float32(Float32(Float32(Float32(6.0) * Float32(pi)) * s) * r)))
end
function tmp = code(s, r)
	tmp = ((single(0.25) * exp((-r / s))) / (((single(2.0) * single(pi)) * s) * r)) + ((single(0.75) * exp((-r / (single(3.0) * s)))) / (((single(6.0) * single(pi)) * s) * r));
end
\begin{array}{l}

\\
\frac{0.25 \cdot e^{\frac{-r}{s}}}{\left(\left(2 \cdot \pi\right) \cdot s\right) \cdot r} + \frac{0.75 \cdot e^{\frac{-r}{3 \cdot s}}}{\left(\left(6 \cdot \pi\right) \cdot s\right) \cdot r}
\end{array}

Alternative 1: 99.6% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \frac{0.25 \cdot e^{\frac{-r}{s}}}{r \cdot \left(s \cdot \left(2 \cdot \pi\right)\right)} + \frac{0.75 \cdot e^{\frac{-r}{s \cdot 3}}}{r \cdot \left(6 \cdot \left(s \cdot \pi\right)\right)} \end{array} \]
(FPCore (s r)
 :precision binary32
 (+
  (/ (* 0.25 (exp (/ (- r) s))) (* r (* s (* 2.0 PI))))
  (/ (* 0.75 (exp (/ (- r) (* s 3.0)))) (* r (* 6.0 (* s PI))))))
float code(float s, float r) {
	return ((0.25f * expf((-r / s))) / (r * (s * (2.0f * ((float) M_PI))))) + ((0.75f * expf((-r / (s * 3.0f)))) / (r * (6.0f * (s * ((float) M_PI)))));
}
function code(s, r)
	return Float32(Float32(Float32(Float32(0.25) * exp(Float32(Float32(-r) / s))) / Float32(r * Float32(s * Float32(Float32(2.0) * Float32(pi))))) + Float32(Float32(Float32(0.75) * exp(Float32(Float32(-r) / Float32(s * Float32(3.0))))) / Float32(r * Float32(Float32(6.0) * Float32(s * Float32(pi))))))
end
function tmp = code(s, r)
	tmp = ((single(0.25) * exp((-r / s))) / (r * (s * (single(2.0) * single(pi))))) + ((single(0.75) * exp((-r / (s * single(3.0))))) / (r * (single(6.0) * (s * single(pi)))));
end
\begin{array}{l}

\\
\frac{0.25 \cdot e^{\frac{-r}{s}}}{r \cdot \left(s \cdot \left(2 \cdot \pi\right)\right)} + \frac{0.75 \cdot e^{\frac{-r}{s \cdot 3}}}{r \cdot \left(6 \cdot \left(s \cdot \pi\right)\right)}
\end{array}
Derivation
    &prev;&pcontext;&pcontext2;&ctx;
  1. Add Preprocessing

Alternative 2: 99.6% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \frac{0.25 \cdot e^{\frac{-r}{s}}}{r \cdot \left(s \cdot \left(2 \cdot \pi\right)\right)} + \frac{0.75 \cdot e^{\frac{r}{s} \cdot -0.3333333333333333}}{r \cdot \left(s \cdot \left(\pi \cdot 6\right)\right)} \end{array} \]
(FPCore (s r)
 :precision binary32
 (+
  (/ (* 0.25 (exp (/ (- r) s))) (* r (* s (* 2.0 PI))))
  (/ (* 0.75 (exp (* (/ r s) -0.3333333333333333))) (* r (* s (* PI 6.0))))))
float code(float s, float r) {
	return ((0.25f * expf((-r / s))) / (r * (s * (2.0f * ((float) M_PI))))) + ((0.75f * expf(((r / s) * -0.3333333333333333f))) / (r * (s * (((float) M_PI) * 6.0f))));
}
function code(s, r)
	return Float32(Float32(Float32(Float32(0.25) * exp(Float32(Float32(-r) / s))) / Float32(r * Float32(s * Float32(Float32(2.0) * Float32(pi))))) + Float32(Float32(Float32(0.75) * exp(Float32(Float32(r / s) * Float32(-0.3333333333333333)))) / Float32(r * Float32(s * Float32(Float32(pi) * Float32(6.0))))))
end
function tmp = code(s, r)
	tmp = ((single(0.25) * exp((-r / s))) / (r * (s * (single(2.0) * single(pi))))) + ((single(0.75) * exp(((r / s) * single(-0.3333333333333333)))) / (r * (s * (single(pi) * single(6.0)))));
end
\begin{array}{l}

\\
\frac{0.25 \cdot e^{\frac{-r}{s}}}{r \cdot \left(s \cdot \left(2 \cdot \pi\right)\right)} + \frac{0.75 \cdot e^{\frac{r}{s} \cdot -0.3333333333333333}}{r \cdot \left(s \cdot \left(\pi \cdot 6\right)\right)}
\end{array}
Derivation
    &prev;&pcontext;&pcontext2;&ctx;
  1. Add Preprocessing

Alternative 3: 99.6% accurate, 1.0× speedup?

\[\begin{array}{l} \\ \frac{0.125}{s \cdot \pi} \cdot \frac{e^{\frac{-r}{s}}}{r} + \frac{0.75}{6 \cdot \left(s \cdot \pi\right)} \cdot \frac{e^{\frac{-r}{s \cdot 3}}}{r} \end{array} \]
(FPCore (s r)
 :precision binary32
 (+
  (* (/ 0.125 (* s PI)) (/ (exp (/ (- r) s)) r))
  (* (/ 0.75 (* 6.0 (* s PI))) (/ (exp (/ (- r) (* s 3.0))) r))))
float code(float s, float r) {
	return ((0.125f / (s * ((float) M_PI))) * (expf((-r / s)) / r)) + ((0.75f / (6.0f * (s * ((float) M_PI)))) * (expf((-r / (s * 3.0f))) / r));
}
function code(s, r)
	return Float32(Float32(Float32(Float32(0.125) / Float32(s * Float32(pi))) * Float32(exp(Float32(Float32(-r) / s)) / r)) + Float32(Float32(Float32(0.75) / Float32(Float32(6.0) * Float32(s * Float32(pi)))) * Float32(exp(Float32(Float32(-r) / Float32(s * Float32(3.0)))) / r)))
end
function tmp = code(s, r)
	tmp = ((single(0.125) / (s * single(pi))) * (exp((-r / s)) / r)) + ((single(0.75) / (single(6.0) * (s * single(pi)))) * (exp((-r / (s * single(3.0)))) / r));
end
\begin{array}{l}

\\
\frac{0.125}{s \cdot \pi} \cdot \frac{e^{\frac{-r}{s}}}{r} + \frac{0.75}{6 \cdot \left(s \cdot \pi\right)} \cdot \frac{e^{\frac{-r}{s \cdot 3}}}{r}
\end{array}
Derivation
    &prev;&pcontext;&pcontext2;&ctx;
  1. Add Preprocessing

Alternative 4: 99.5% accurate, 1.3× speedup?

\[\begin{array}{l} \\ \frac{0.125}{s \cdot \pi} \cdot \left(\frac{e^{\frac{r}{-s}}}{r} + \frac{e^{\frac{r}{s} \cdot -0.3333333333333333}}{r}\right) \end{array} \]
(FPCore (s r)
 :precision binary32
 (*
  (/ 0.125 (* s PI))
  (+ (/ (exp (/ r (- s))) r) (/ (exp (* (/ r s) -0.3333333333333333)) r))))
float code(float s, float r) {
	return (0.125f / (s * ((float) M_PI))) * ((expf((r / -s)) / r) + (expf(((r / s) * -0.3333333333333333f)) / r));
}
function code(s, r)
	return Float32(Float32(Float32(0.125) / Float32(s * Float32(pi))) * Float32(Float32(exp(Float32(r / Float32(-s))) / r) + Float32(exp(Float32(Float32(r / s) * Float32(-0.3333333333333333))) / r)))
end
function tmp = code(s, r)
	tmp = (single(0.125) / (s * single(pi))) * ((exp((r / -s)) / r) + (exp(((r / s) * single(-0.3333333333333333))) / r));
end
\begin{array}{l}

\\
\frac{0.125}{s \cdot \pi} \cdot \left(\frac{e^{\frac{r}{-s}}}{r} + \frac{e^{\frac{r}{s} \cdot -0.3333333333333333}}{r}\right)
\end{array}
Derivation
    &prev;&pcontext;&pcontext2;&ctx;
  1. Add Preprocessing

Alternative 5: 99.5% accurate, 1.3× speedup?

\[\begin{array}{l} \\ \frac{0.125}{s \cdot \pi} \cdot \left(\frac{e^{\frac{r}{-s}}}{r} + \frac{e^{\frac{r}{s \cdot -3}}}{r}\right) \end{array} \]
(FPCore (s r)
 :precision binary32
 (*
  (/ 0.125 (* s PI))
  (+ (/ (exp (/ r (- s))) r) (/ (exp (/ r (* s -3.0))) r))))
float code(float s, float r) {
	return (0.125f / (s * ((float) M_PI))) * ((expf((r / -s)) / r) + (expf((r / (s * -3.0f))) / r));
}
function code(s, r)
	return Float32(Float32(Float32(0.125) / Float32(s * Float32(pi))) * Float32(Float32(exp(Float32(r / Float32(-s))) / r) + Float32(exp(Float32(r / Float32(s * Float32(-3.0)))) / r)))
end
function tmp = code(s, r)
	tmp = (single(0.125) / (s * single(pi))) * ((exp((r / -s)) / r) + (exp((r / (s * single(-3.0)))) / r));
end
\begin{array}{l}

\\
\frac{0.125}{s \cdot \pi} \cdot \left(\frac{e^{\frac{r}{-s}}}{r} + \frac{e^{\frac{r}{s \cdot -3}}}{r}\right)
\end{array}
Derivation
    &prev;&pcontext;&pcontext2;&ctx;
  1. Add Preprocessing

Alternative 6: 60.1% accurate, 1.4× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;s \leq 1.6999999843392288 \cdot 10^{-6}:\\ \;\;\;\;s \cdot \frac{0.125}{\frac{\pi}{r \cdot \left(-1 + {\left(e^{r}\right)}^{s}\right)}}\\ \mathbf{else}:\\ \;\;\;\;\frac{0.25}{\mathsf{log1p}\left(\mathsf{expm1}\left(r \cdot \left(s \cdot \pi\right)\right)\right)}\\ \end{array} \end{array} \]
(FPCore (s r)
 :precision binary32
 (if (<= s 1.6999999843392288e-6)
   (* s (/ 0.125 (/ PI (* r (+ -1.0 (pow (exp r) s))))))
   (/ 0.25 (log1p (expm1 (* r (* s PI)))))))
float code(float s, float r) {
	float tmp;
	if (s <= 1.6999999843392288e-6f) {
		tmp = s * (0.125f / (((float) M_PI) / (r * (-1.0f + powf(expf(r), s)))));
	} else {
		tmp = 0.25f / log1pf(expm1f((r * (s * ((float) M_PI)))));
	}
	return tmp;
}
function code(s, r)
	tmp = Float32(0.0)
	if (s <= Float32(1.6999999843392288e-6))
		tmp = Float32(s * Float32(Float32(0.125) / Float32(Float32(pi) / Float32(r * Float32(Float32(-1.0) + (exp(r) ^ s))))));
	else
		tmp = Float32(Float32(0.25) / log1p(expm1(Float32(r * Float32(s * Float32(pi))))));
	end
	return tmp
end
\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;s \leq 1.6999999843392288 \cdot 10^{-6}:\\
\;\;\;\;s \cdot \frac{0.125}{\frac{\pi}{r \cdot \left(-1 + {\left(e^{r}\right)}^{s}\right)}}\\

\mathbf{else}:\\
\;\;\;\;\frac{0.25}{\mathsf{log1p}\left(\mathsf{expm1}\left(r \cdot \left(s \cdot \pi\right)\right)\right)}\\


\end{array}
\end{array}
Derivation
    &prev;&pcontext;&pcontext2;&ctx;
  1. Add Preprocessing

Alternative 7: 85.5% accurate, 1.4× speedup?

\[\begin{array}{l} \\ \begin{array}{l} t_0 := -1 + {\left(e^{r}\right)}^{s}\\ \mathbf{if}\;r \leq 90:\\ \;\;\;\;s \cdot \frac{0.125}{\frac{\pi}{r \cdot t_0}}\\ \mathbf{else}:\\ \;\;\;\;\frac{8}{r \cdot \left(\left(s \cdot \pi\right) \cdot t_0\right)}\\ \end{array} \end{array} \]
(FPCore (s r)
 :precision binary32
 (let* ((t_0 (+ -1.0 (pow (exp r) s))))
   (if (<= r 90.0)
     (* s (/ 0.125 (/ PI (* r t_0))))
     (/ 8.0 (* r (* (* s PI) t_0))))))
float code(float s, float r) {
	float t_0 = -1.0f + powf(expf(r), s);
	float tmp;
	if (r <= 90.0f) {
		tmp = s * (0.125f / (((float) M_PI) / (r * t_0)));
	} else {
		tmp = 8.0f / (r * ((s * ((float) M_PI)) * t_0));
	}
	return tmp;
}
function code(s, r)
	t_0 = Float32(Float32(-1.0) + (exp(r) ^ s))
	tmp = Float32(0.0)
	if (r <= Float32(90.0))
		tmp = Float32(s * Float32(Float32(0.125) / Float32(Float32(pi) / Float32(r * t_0))));
	else
		tmp = Float32(Float32(8.0) / Float32(r * Float32(Float32(s * Float32(pi)) * t_0)));
	end
	return tmp
end
function tmp_2 = code(s, r)
	t_0 = single(-1.0) + (exp(r) ^ s);
	tmp = single(0.0);
	if (r <= single(90.0))
		tmp = s * (single(0.125) / (single(pi) / (r * t_0)));
	else
		tmp = single(8.0) / (r * ((s * single(pi)) * t_0));
	end
	tmp_2 = tmp;
end
\begin{array}{l}

\\
\begin{array}{l}
t_0 := -1 + {\left(e^{r}\right)}^{s}\\
\mathbf{if}\;r \leq 90:\\
\;\;\;\;s \cdot \frac{0.125}{\frac{\pi}{r \cdot t_0}}\\

\mathbf{else}:\\
\;\;\;\;\frac{8}{r \cdot \left(\left(s \cdot \pi\right) \cdot t_0\right)}\\


\end{array}
\end{array}
Derivation
    &prev;&pcontext;&pcontext2;&ctx;
  1. Add Preprocessing

Alternative 8: 20.0% accurate, 1.4× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;s \leq 1.6999999843392288 \cdot 10^{-6}:\\ \;\;\;\;4 \cdot \frac{\pi}{\frac{r}{s}}\\ \mathbf{else}:\\ \;\;\;\;\frac{0.25}{\mathsf{log1p}\left(\mathsf{expm1}\left(r \cdot \left(s \cdot \pi\right)\right)\right)}\\ \end{array} \end{array} \]
(FPCore (s r)
 :precision binary32
 (if (<= s 1.6999999843392288e-6)
   (* 4.0 (/ PI (/ r s)))
   (/ 0.25 (log1p (expm1 (* r (* s PI)))))))
float code(float s, float r) {
	float tmp;
	if (s <= 1.6999999843392288e-6f) {
		tmp = 4.0f * (((float) M_PI) / (r / s));
	} else {
		tmp = 0.25f / log1pf(expm1f((r * (s * ((float) M_PI)))));
	}
	return tmp;
}
function code(s, r)
	tmp = Float32(0.0)
	if (s <= Float32(1.6999999843392288e-6))
		tmp = Float32(Float32(4.0) * Float32(Float32(pi) / Float32(r / s)));
	else
		tmp = Float32(Float32(0.25) / log1p(expm1(Float32(r * Float32(s * Float32(pi))))));
	end
	return tmp
end
\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;s \leq 1.6999999843392288 \cdot 10^{-6}:\\
\;\;\;\;4 \cdot \frac{\pi}{\frac{r}{s}}\\

\mathbf{else}:\\
\;\;\;\;\frac{0.25}{\mathsf{log1p}\left(\mathsf{expm1}\left(r \cdot \left(s \cdot \pi\right)\right)\right)}\\


\end{array}
\end{array}
Derivation
    &prev;&pcontext;&pcontext2;&ctx;
  1. Add Preprocessing

Alternative 9: 18.4% accurate, 1.9× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;s \leq 3.5999998999614036 \cdot 10^{-6}:\\ \;\;\;\;4 \cdot \frac{\pi}{\frac{r}{s}}\\ \mathbf{else}:\\ \;\;\;\;\frac{0.125}{s \cdot \pi} \cdot \left(\frac{e^{\frac{r}{-s}}}{r} + \frac{\frac{r}{s} \cdot -0.3333333333333333 + 1}{r}\right)\\ \end{array} \end{array} \]
(FPCore (s r)
 :precision binary32
 (if (<= s 3.5999998999614036e-6)
   (* 4.0 (/ PI (/ r s)))
   (*
    (/ 0.125 (* s PI))
    (+
     (/ (exp (/ r (- s))) r)
     (/ (+ (* (/ r s) -0.3333333333333333) 1.0) r)))))
float code(float s, float r) {
	float tmp;
	if (s <= 3.5999998999614036e-6f) {
		tmp = 4.0f * (((float) M_PI) / (r / s));
	} else {
		tmp = (0.125f / (s * ((float) M_PI))) * ((expf((r / -s)) / r) + ((((r / s) * -0.3333333333333333f) + 1.0f) / r));
	}
	return tmp;
}
function code(s, r)
	tmp = Float32(0.0)
	if (s <= Float32(3.5999998999614036e-6))
		tmp = Float32(Float32(4.0) * Float32(Float32(pi) / Float32(r / s)));
	else
		tmp = Float32(Float32(Float32(0.125) / Float32(s * Float32(pi))) * Float32(Float32(exp(Float32(r / Float32(-s))) / r) + Float32(Float32(Float32(Float32(r / s) * Float32(-0.3333333333333333)) + Float32(1.0)) / r)));
	end
	return tmp
end
function tmp_2 = code(s, r)
	tmp = single(0.0);
	if (s <= single(3.5999998999614036e-6))
		tmp = single(4.0) * (single(pi) / (r / s));
	else
		tmp = (single(0.125) / (s * single(pi))) * ((exp((r / -s)) / r) + ((((r / s) * single(-0.3333333333333333)) + single(1.0)) / r));
	end
	tmp_2 = tmp;
end
\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;s \leq 3.5999998999614036 \cdot 10^{-6}:\\
\;\;\;\;4 \cdot \frac{\pi}{\frac{r}{s}}\\

\mathbf{else}:\\
\;\;\;\;\frac{0.125}{s \cdot \pi} \cdot \left(\frac{e^{\frac{r}{-s}}}{r} + \frac{\frac{r}{s} \cdot -0.3333333333333333 + 1}{r}\right)\\


\end{array}
\end{array}
Derivation
    &prev;&pcontext;&pcontext2;&ctx;
  1. Add Preprocessing

Alternative 10: 17.4% accurate, 2.0× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;s \leq 1.6999999843392288 \cdot 10^{-6}:\\ \;\;\;\;4 \cdot \frac{\pi}{\frac{r}{s}}\\ \mathbf{else}:\\ \;\;\;\;\frac{0.125}{\frac{s \cdot \pi}{\frac{e^{\frac{-r}{s}}}{r} + \frac{1}{r}}}\\ \end{array} \end{array} \]
(FPCore (s r)
 :precision binary32
 (if (<= s 1.6999999843392288e-6)
   (* 4.0 (/ PI (/ r s)))
   (/ 0.125 (/ (* s PI) (+ (/ (exp (/ (- r) s)) r) (/ 1.0 r))))))
float code(float s, float r) {
	float tmp;
	if (s <= 1.6999999843392288e-6f) {
		tmp = 4.0f * (((float) M_PI) / (r / s));
	} else {
		tmp = 0.125f / ((s * ((float) M_PI)) / ((expf((-r / s)) / r) + (1.0f / r)));
	}
	return tmp;
}
function code(s, r)
	tmp = Float32(0.0)
	if (s <= Float32(1.6999999843392288e-6))
		tmp = Float32(Float32(4.0) * Float32(Float32(pi) / Float32(r / s)));
	else
		tmp = Float32(Float32(0.125) / Float32(Float32(s * Float32(pi)) / Float32(Float32(exp(Float32(Float32(-r) / s)) / r) + Float32(Float32(1.0) / r))));
	end
	return tmp
end
function tmp_2 = code(s, r)
	tmp = single(0.0);
	if (s <= single(1.6999999843392288e-6))
		tmp = single(4.0) * (single(pi) / (r / s));
	else
		tmp = single(0.125) / ((s * single(pi)) / ((exp((-r / s)) / r) + (single(1.0) / r)));
	end
	tmp_2 = tmp;
end
\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;s \leq 1.6999999843392288 \cdot 10^{-6}:\\
\;\;\;\;4 \cdot \frac{\pi}{\frac{r}{s}}\\

\mathbf{else}:\\
\;\;\;\;\frac{0.125}{\frac{s \cdot \pi}{\frac{e^{\frac{-r}{s}}}{r} + \frac{1}{r}}}\\


\end{array}
\end{array}
Derivation
    &prev;&pcontext;&pcontext2;&ctx;
  1. Add Preprocessing

Alternative 11: 17.4% accurate, 2.0× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;s \leq 1.6999999843392288 \cdot 10^{-6}:\\ \;\;\;\;4 \cdot \frac{\pi}{\frac{r}{s}}\\ \mathbf{else}:\\ \;\;\;\;0.125 \cdot \frac{e^{\frac{-r}{s}} + 1}{s \cdot \left(r \cdot \pi\right)}\\ \end{array} \end{array} \]
(FPCore (s r)
 :precision binary32
 (if (<= s 1.6999999843392288e-6)
   (* 4.0 (/ PI (/ r s)))
   (* 0.125 (/ (+ (exp (/ (- r) s)) 1.0) (* s (* r PI))))))
float code(float s, float r) {
	float tmp;
	if (s <= 1.6999999843392288e-6f) {
		tmp = 4.0f * (((float) M_PI) / (r / s));
	} else {
		tmp = 0.125f * ((expf((-r / s)) + 1.0f) / (s * (r * ((float) M_PI))));
	}
	return tmp;
}
function code(s, r)
	tmp = Float32(0.0)
	if (s <= Float32(1.6999999843392288e-6))
		tmp = Float32(Float32(4.0) * Float32(Float32(pi) / Float32(r / s)));
	else
		tmp = Float32(Float32(0.125) * Float32(Float32(exp(Float32(Float32(-r) / s)) + Float32(1.0)) / Float32(s * Float32(r * Float32(pi)))));
	end
	return tmp
end
function tmp_2 = code(s, r)
	tmp = single(0.0);
	if (s <= single(1.6999999843392288e-6))
		tmp = single(4.0) * (single(pi) / (r / s));
	else
		tmp = single(0.125) * ((exp((-r / s)) + single(1.0)) / (s * (r * single(pi))));
	end
	tmp_2 = tmp;
end
\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;s \leq 1.6999999843392288 \cdot 10^{-6}:\\
\;\;\;\;4 \cdot \frac{\pi}{\frac{r}{s}}\\

\mathbf{else}:\\
\;\;\;\;0.125 \cdot \frac{e^{\frac{-r}{s}} + 1}{s \cdot \left(r \cdot \pi\right)}\\


\end{array}
\end{array}
Derivation
    &prev;&pcontext;&pcontext2;&ctx;
  1. Add Preprocessing

Alternative 12: 17.4% accurate, 2.0× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;s \leq 1.6999999843392288 \cdot 10^{-6}:\\ \;\;\;\;4 \cdot \frac{\pi}{\frac{r}{s}}\\ \mathbf{else}:\\ \;\;\;\;\frac{0.125}{r} \cdot \frac{e^{\frac{-r}{s}} + 1}{s \cdot \pi}\\ \end{array} \end{array} \]
(FPCore (s r)
 :precision binary32
 (if (<= s 1.6999999843392288e-6)
   (* 4.0 (/ PI (/ r s)))
   (* (/ 0.125 r) (/ (+ (exp (/ (- r) s)) 1.0) (* s PI)))))
float code(float s, float r) {
	float tmp;
	if (s <= 1.6999999843392288e-6f) {
		tmp = 4.0f * (((float) M_PI) / (r / s));
	} else {
		tmp = (0.125f / r) * ((expf((-r / s)) + 1.0f) / (s * ((float) M_PI)));
	}
	return tmp;
}
function code(s, r)
	tmp = Float32(0.0)
	if (s <= Float32(1.6999999843392288e-6))
		tmp = Float32(Float32(4.0) * Float32(Float32(pi) / Float32(r / s)));
	else
		tmp = Float32(Float32(Float32(0.125) / r) * Float32(Float32(exp(Float32(Float32(-r) / s)) + Float32(1.0)) / Float32(s * Float32(pi))));
	end
	return tmp
end
function tmp_2 = code(s, r)
	tmp = single(0.0);
	if (s <= single(1.6999999843392288e-6))
		tmp = single(4.0) * (single(pi) / (r / s));
	else
		tmp = (single(0.125) / r) * ((exp((-r / s)) + single(1.0)) / (s * single(pi)));
	end
	tmp_2 = tmp;
end
\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;s \leq 1.6999999843392288 \cdot 10^{-6}:\\
\;\;\;\;4 \cdot \frac{\pi}{\frac{r}{s}}\\

\mathbf{else}:\\
\;\;\;\;\frac{0.125}{r} \cdot \frac{e^{\frac{-r}{s}} + 1}{s \cdot \pi}\\


\end{array}
\end{array}
Derivation
    &prev;&pcontext;&pcontext2;&ctx;
  1. Add Preprocessing

Alternative 13: 17.0% accurate, 3.8× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;s \leq 3.5999998999614036 \cdot 10^{-6}:\\ \;\;\;\;4 \cdot \frac{\pi}{\frac{r}{s}}\\ \mathbf{else}:\\ \;\;\;\;\frac{0.125 \cdot \left(\frac{2}{r} + \frac{-1}{s}\right)}{s \cdot \pi}\\ \end{array} \end{array} \]
(FPCore (s r)
 :precision binary32
 (if (<= s 3.5999998999614036e-6)
   (* 4.0 (/ PI (/ r s)))
   (/ (* 0.125 (+ (/ 2.0 r) (/ -1.0 s))) (* s PI))))
float code(float s, float r) {
	float tmp;
	if (s <= 3.5999998999614036e-6f) {
		tmp = 4.0f * (((float) M_PI) / (r / s));
	} else {
		tmp = (0.125f * ((2.0f / r) + (-1.0f / s))) / (s * ((float) M_PI));
	}
	return tmp;
}
function code(s, r)
	tmp = Float32(0.0)
	if (s <= Float32(3.5999998999614036e-6))
		tmp = Float32(Float32(4.0) * Float32(Float32(pi) / Float32(r / s)));
	else
		tmp = Float32(Float32(Float32(0.125) * Float32(Float32(Float32(2.0) / r) + Float32(Float32(-1.0) / s))) / Float32(s * Float32(pi)));
	end
	return tmp
end
function tmp_2 = code(s, r)
	tmp = single(0.0);
	if (s <= single(3.5999998999614036e-6))
		tmp = single(4.0) * (single(pi) / (r / s));
	else
		tmp = (single(0.125) * ((single(2.0) / r) + (single(-1.0) / s))) / (s * single(pi));
	end
	tmp_2 = tmp;
end
\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;s \leq 3.5999998999614036 \cdot 10^{-6}:\\
\;\;\;\;4 \cdot \frac{\pi}{\frac{r}{s}}\\

\mathbf{else}:\\
\;\;\;\;\frac{0.125 \cdot \left(\frac{2}{r} + \frac{-1}{s}\right)}{s \cdot \pi}\\


\end{array}
\end{array}
Derivation
    &prev;&pcontext;&pcontext2;&ctx;
  1. Add Preprocessing

Alternative 14: 17.0% accurate, 4.0× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;s \leq 1.6999999843392288 \cdot 10^{-6}:\\ \;\;\;\;4 \cdot \frac{\pi}{\frac{r}{s}}\\ \mathbf{else}:\\ \;\;\;\;\frac{0.25}{r \cdot \left(s \cdot \pi\right)}\\ \end{array} \end{array} \]
(FPCore (s r)
 :precision binary32
 (if (<= s 1.6999999843392288e-6)
   (* 4.0 (/ PI (/ r s)))
   (/ 0.25 (* r (* s PI)))))
float code(float s, float r) {
	float tmp;
	if (s <= 1.6999999843392288e-6f) {
		tmp = 4.0f * (((float) M_PI) / (r / s));
	} else {
		tmp = 0.25f / (r * (s * ((float) M_PI)));
	}
	return tmp;
}
function code(s, r)
	tmp = Float32(0.0)
	if (s <= Float32(1.6999999843392288e-6))
		tmp = Float32(Float32(4.0) * Float32(Float32(pi) / Float32(r / s)));
	else
		tmp = Float32(Float32(0.25) / Float32(r * Float32(s * Float32(pi))));
	end
	return tmp
end
function tmp_2 = code(s, r)
	tmp = single(0.0);
	if (s <= single(1.6999999843392288e-6))
		tmp = single(4.0) * (single(pi) / (r / s));
	else
		tmp = single(0.25) / (r * (s * single(pi)));
	end
	tmp_2 = tmp;
end
\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;s \leq 1.6999999843392288 \cdot 10^{-6}:\\
\;\;\;\;4 \cdot \frac{\pi}{\frac{r}{s}}\\

\mathbf{else}:\\
\;\;\;\;\frac{0.25}{r \cdot \left(s \cdot \pi\right)}\\


\end{array}
\end{array}
Derivation
    &prev;&pcontext;&pcontext2;&ctx;
  1. Add Preprocessing

Alternative 15: 17.0% accurate, 4.0× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;s \leq 1.6999999843392288 \cdot 10^{-6}:\\ \;\;\;\;4 \cdot \frac{\pi}{\frac{r}{s}}\\ \mathbf{else}:\\ \;\;\;\;\frac{0.25}{s \cdot \left(r \cdot \pi\right)}\\ \end{array} \end{array} \]
(FPCore (s r)
 :precision binary32
 (if (<= s 1.6999999843392288e-6)
   (* 4.0 (/ PI (/ r s)))
   (/ 0.25 (* s (* r PI)))))
float code(float s, float r) {
	float tmp;
	if (s <= 1.6999999843392288e-6f) {
		tmp = 4.0f * (((float) M_PI) / (r / s));
	} else {
		tmp = 0.25f / (s * (r * ((float) M_PI)));
	}
	return tmp;
}
function code(s, r)
	tmp = Float32(0.0)
	if (s <= Float32(1.6999999843392288e-6))
		tmp = Float32(Float32(4.0) * Float32(Float32(pi) / Float32(r / s)));
	else
		tmp = Float32(Float32(0.25) / Float32(s * Float32(r * Float32(pi))));
	end
	return tmp
end
function tmp_2 = code(s, r)
	tmp = single(0.0);
	if (s <= single(1.6999999843392288e-6))
		tmp = single(4.0) * (single(pi) / (r / s));
	else
		tmp = single(0.25) / (s * (r * single(pi)));
	end
	tmp_2 = tmp;
end
\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;s \leq 1.6999999843392288 \cdot 10^{-6}:\\
\;\;\;\;4 \cdot \frac{\pi}{\frac{r}{s}}\\

\mathbf{else}:\\
\;\;\;\;\frac{0.25}{s \cdot \left(r \cdot \pi\right)}\\


\end{array}
\end{array}
Derivation
    &prev;&pcontext;&pcontext2;&ctx;
  1. Add Preprocessing

Alternative 16: 17.0% accurate, 4.0× speedup?

\[\begin{array}{l} \\ \begin{array}{l} \mathbf{if}\;s \leq 1.6999999843392288 \cdot 10^{-6}:\\ \;\;\;\;4 \cdot \frac{\pi}{\frac{r}{s}}\\ \mathbf{else}:\\ \;\;\;\;\frac{\frac{0.25}{r}}{s \cdot \pi}\\ \end{array} \end{array} \]
(FPCore (s r)
 :precision binary32
 (if (<= s 1.6999999843392288e-6)
   (* 4.0 (/ PI (/ r s)))
   (/ (/ 0.25 r) (* s PI))))
float code(float s, float r) {
	float tmp;
	if (s <= 1.6999999843392288e-6f) {
		tmp = 4.0f * (((float) M_PI) / (r / s));
	} else {
		tmp = (0.25f / r) / (s * ((float) M_PI));
	}
	return tmp;
}
function code(s, r)
	tmp = Float32(0.0)
	if (s <= Float32(1.6999999843392288e-6))
		tmp = Float32(Float32(4.0) * Float32(Float32(pi) / Float32(r / s)));
	else
		tmp = Float32(Float32(Float32(0.25) / r) / Float32(s * Float32(pi)));
	end
	return tmp
end
function tmp_2 = code(s, r)
	tmp = single(0.0);
	if (s <= single(1.6999999843392288e-6))
		tmp = single(4.0) * (single(pi) / (r / s));
	else
		tmp = (single(0.25) / r) / (s * single(pi));
	end
	tmp_2 = tmp;
end
\begin{array}{l}

\\
\begin{array}{l}
\mathbf{if}\;s \leq 1.6999999843392288 \cdot 10^{-6}:\\
\;\;\;\;4 \cdot \frac{\pi}{\frac{r}{s}}\\

\mathbf{else}:\\
\;\;\;\;\frac{\frac{0.25}{r}}{s \cdot \pi}\\


\end{array}
\end{array}
Derivation
    &prev;&pcontext;&pcontext2;&ctx;
  1. Add Preprocessing

Alternative 17: 14.1% accurate, 4.0× speedup?

\[\begin{array}{l} \\ 4 \cdot \frac{\pi}{\frac{r}{s}} \end{array} \]
(FPCore (s r) :precision binary32 (* 4.0 (/ PI (/ r s))))
float code(float s, float r) {
	return 4.0f * (((float) M_PI) / (r / s));
}
function code(s, r)
	return Float32(Float32(4.0) * Float32(Float32(pi) / Float32(r / s)))
end
function tmp = code(s, r)
	tmp = single(4.0) * (single(pi) / (r / s));
end
\begin{array}{l}

\\
4 \cdot \frac{\pi}{\frac{r}{s}}
\end{array}
Derivation
    &prev;&pcontext;&pcontext2;&ctx;
  1. Add Preprocessing

Reproduce

?
herbie shell --seed 2024003 
(FPCore (s r)
  :name "Disney BSSRDF, PDF of scattering profile"
  :precision binary32
  :pre (and (and (<= 0.0 s) (<= s 256.0)) (and (< 1e-6 r) (< r 1000000.0)))
  (+ (/ (* 0.25 (exp (/ (- r) s))) (* (* (* 2.0 PI) s) r)) (/ (* 0.75 (exp (/ (- r) (* 3.0 s)))) (* (* (* 6.0 PI) s) r))))