FastMath test5

Percentage Accurate: 99.9% → 100.0%

Time: 1.6s

Alternatives: 4

Speedup: 1.0×

• 53.5% of points produce a very large (infinite) output. You may want to add a precondition.

Specification

Math

\[\left(d1 \cdot \left(\left(\left(\left(\left(d1 \cdot \left(d1 \cdot d1\right)\right) \cdot d1\right) \cdot d1\right) \cdot \left(d1 \cdot d1\right)\right) \cdot d1\right)\right) \cdot d1 \]

FPCore

(FPCore (d1)
  :precision binary64
  (* (* d1 (* (* (* (* (* d1 (* d1 d1)) d1) d1) (* d1 d1)) d1)) d1))

C

double code(double d1) {
	return (d1 * (((((d1 * (d1 * d1)) * d1) * d1) * (d1 * d1)) * d1)) * d1;
}

Fortran

module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(d1)
use fmin_fmax_functions
    real(8), intent (in) :: d1
    code = (d1 * (((((d1 * (d1 * d1)) * d1) * d1) * (d1 * d1)) * d1)) * d1
end function

Java

public static double code(double d1) {
	return (d1 * (((((d1 * (d1 * d1)) * d1) * d1) * (d1 * d1)) * d1)) * d1;
}

Python

def code(d1):
	return (d1 * (((((d1 * (d1 * d1)) * d1) * d1) * (d1 * d1)) * d1)) * d1

Julia

function code(d1)
	return Float64(Float64(d1 * Float64(Float64(Float64(Float64(Float64(d1 * Float64(d1 * d1)) * d1) * d1) * Float64(d1 * d1)) * d1)) * d1)
end

MATLAB

function tmp = code(d1)
	tmp = (d1 * (((((d1 * (d1 * d1)) * d1) * d1) * (d1 * d1)) * d1)) * d1;
end

Wolfram

code[d1_] := N[(N[(d1 * N[(N[(N[(N[(N[(d1 * N[(d1 * d1), $MachinePrecision]), $MachinePrecision] * d1), $MachinePrecision] * d1), $MachinePrecision] * N[(d1 * d1), $MachinePrecision]), $MachinePrecision] * d1), $MachinePrecision]), $MachinePrecision] * d1), $MachinePrecision]

Initial Program: 99.9% accurate, 1.0× speedup

Math

\[\left(d1 \cdot \left(\left(\left(\left(\left(d1 \cdot \left(d1 \cdot d1\right)\right) \cdot d1\right) \cdot d1\right) \cdot \left(d1 \cdot d1\right)\right) \cdot d1\right)\right) \cdot d1 \]

FPCore

(FPCore (d1)
  :precision binary64
  (* (* d1 (* (* (* (* (* d1 (* d1 d1)) d1) d1) (* d1 d1)) d1)) d1))

C

double code(double d1) {
	return (d1 * (((((d1 * (d1 * d1)) * d1) * d1) * (d1 * d1)) * d1)) * d1;
}

Fortran

module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(d1)
use fmin_fmax_functions
    real(8), intent (in) :: d1
    code = (d1 * (((((d1 * (d1 * d1)) * d1) * d1) * (d1 * d1)) * d1)) * d1
end function

Java

public static double code(double d1) {
	return (d1 * (((((d1 * (d1 * d1)) * d1) * d1) * (d1 * d1)) * d1)) * d1;
}

Python

def code(d1):
	return (d1 * (((((d1 * (d1 * d1)) * d1) * d1) * (d1 * d1)) * d1)) * d1

Julia

function code(d1)
	return Float64(Float64(d1 * Float64(Float64(Float64(Float64(Float64(d1 * Float64(d1 * d1)) * d1) * d1) * Float64(d1 * d1)) * d1)) * d1)
end

MATLAB

function tmp = code(d1)
	tmp = (d1 * (((((d1 * (d1 * d1)) * d1) * d1) * (d1 * d1)) * d1)) * d1;
end

Wolfram

code[d1_] := N[(N[(d1 * N[(N[(N[(N[(N[(d1 * N[(d1 * d1), $MachinePrecision]), $MachinePrecision] * d1), $MachinePrecision] * d1), $MachinePrecision] * N[(d1 * d1), $MachinePrecision]), $MachinePrecision] * d1), $MachinePrecision]), $MachinePrecision] * d1), $MachinePrecision]

Alternative 1: 100.0% accurate, 0.5× speedup

Math

\[{d1}^{10} \]

FPCore

(FPCore (d1)
  :precision binary64
  (pow d1 10))

C

double code(double d1) {
	return pow(d1, 10.0);
}

Fortran

module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(d1)
use fmin_fmax_functions
    real(8), intent (in) :: d1
    code = d1 ** 10.0d0
end function

Java

public static double code(double d1) {
	return Math.pow(d1, 10.0);
}

Python

def code(d1):
	return math.pow(d1, 10.0)

Julia

function code(d1)
	return d1 ^ 10.0
end

MATLAB

function tmp = code(d1)
	tmp = d1 ^ 10.0;
end

Wolfram

code[d1_] := N[Power[d1, 10], $MachinePrecision]

Derivation

1. Initial program 99.9%

   \[\left(d1 \cdot \left(\left(\left(\left(\left(d1 \cdot \left(d1 \cdot d1\right)\right) \cdot d1\right) \cdot d1\right) \cdot \left(d1 \cdot d1\right)\right) \cdot d1\right)\right) \cdot d1 \]
2. Step-by-step derivation

   1. lift-*.f64 N/A

      \[\leadsto \color{blue}{\left(d1 \cdot \left(\left(\left(\left(\left(d1 \cdot \left(d1 \cdot d1\right)\right) \cdot d1\right) \cdot d1\right) \cdot \left(d1 \cdot d1\right)\right) \cdot d1\right)\right) \cdot d1} \]

   2. lift-*.f64 N/A

      \[\leadsto \color{blue}{\left(d1 \cdot \left(\left(\left(\left(\left(d1 \cdot \left(d1 \cdot d1\right)\right) \cdot d1\right) \cdot d1\right) \cdot \left(d1 \cdot d1\right)\right) \cdot d1\right)\right)} \cdot d1 \]

   3. *-commutative N/A

      \[\leadsto \color{blue}{\left(\left(\left(\left(\left(\left(d1 \cdot \left(d1 \cdot d1\right)\right) \cdot d1\right) \cdot d1\right) \cdot \left(d1 \cdot d1\right)\right) \cdot d1\right) \cdot d1\right)} \cdot d1 \]

   4. associate-*l* N/A

      \[\leadsto \color{blue}{\left(\left(\left(\left(\left(d1 \cdot \left(d1 \cdot d1\right)\right) \cdot d1\right) \cdot d1\right) \cdot \left(d1 \cdot d1\right)\right) \cdot d1\right) \cdot \left(d1 \cdot d1\right)} \]

   5. lift-*.f64 N/A

      \[\leadsto \color{blue}{\left(\left(\left(\left(\left(d1 \cdot \left(d1 \cdot d1\right)\right) \cdot d1\right) \cdot d1\right) \cdot \left(d1 \cdot d1\right)\right) \cdot d1\right)} \cdot \left(d1 \cdot d1\right) \]

   6. lift-*.f64 N/A

      \[\leadsto \left(\left(\left(\left(\left(d1 \cdot \left(d1 \cdot d1\right)\right) \cdot d1\right) \cdot d1\right) \cdot \left(d1 \cdot d1\right)\right) \cdot d1\right) \cdot \color{blue}{\left(d1 \cdot d1\right)} \]

   7. associate-*l* N/A

      \[\leadsto \color{blue}{\left(\left(\left(\left(d1 \cdot \left(d1 \cdot d1\right)\right) \cdot d1\right) \cdot d1\right) \cdot \left(d1 \cdot d1\right)\right) \cdot \left(d1 \cdot \left(d1 \cdot d1\right)\right)} \]

3. Applied rewrites 100.0%

   \[\leadsto \color{blue}{{d1}^{10}} \]
4. Add Preprocessing

Alternative 2: 99.9% accurate, 1.0× speedup

Math

\[\left(d1 \cdot \left(\left(\left(\left(\left(\left(\left(d1 \cdot d1\right) \cdot d1\right) \cdot d1\right) \cdot d1\right) \cdot d1\right) \cdot d1\right) \cdot d1\right)\right) \cdot d1 \]

FPCore

(FPCore (d1)
  :precision binary64
  (* (* d1 (* (* (* (* (* (* (* d1 d1) d1) d1) d1) d1) d1) d1)) d1))

C

double code(double d1) {
	return (d1 * (((((((d1 * d1) * d1) * d1) * d1) * d1) * d1) * d1)) * d1;
}

Fortran

module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(d1)
use fmin_fmax_functions
    real(8), intent (in) :: d1
    code = (d1 * (((((((d1 * d1) * d1) * d1) * d1) * d1) * d1) * d1)) * d1
end function

Java

public static double code(double d1) {
	return (d1 * (((((((d1 * d1) * d1) * d1) * d1) * d1) * d1) * d1)) * d1;
}

Python

def code(d1):
	return (d1 * (((((((d1 * d1) * d1) * d1) * d1) * d1) * d1) * d1)) * d1

Julia

function code(d1)
	return Float64(Float64(d1 * Float64(Float64(Float64(Float64(Float64(Float64(Float64(d1 * d1) * d1) * d1) * d1) * d1) * d1) * d1)) * d1)
end

MATLAB

function tmp = code(d1)
	tmp = (d1 * (((((((d1 * d1) * d1) * d1) * d1) * d1) * d1) * d1)) * d1;
end

Wolfram

code[d1_] := N[(N[(d1 * N[(N[(N[(N[(N[(N[(N[(d1 * d1), $MachinePrecision] * d1), $MachinePrecision] * d1), $MachinePrecision] * d1), $MachinePrecision] * d1), $MachinePrecision] * d1), $MachinePrecision] * d1), $MachinePrecision]), $MachinePrecision] * d1), $MachinePrecision]

Derivation

1. Initial program 99.9%

   \[\left(d1 \cdot \left(\left(\left(\left(\left(d1 \cdot \left(d1 \cdot d1\right)\right) \cdot d1\right) \cdot d1\right) \cdot \left(d1 \cdot d1\right)\right) \cdot d1\right)\right) \cdot d1 \]
2. Step-by-step derivation

   1. lift-*.f64 N/A

      \[\leadsto \left(d1 \cdot \left(\color{blue}{\left(\left(\left(\left(d1 \cdot \left(d1 \cdot d1\right)\right) \cdot d1\right) \cdot d1\right) \cdot \left(d1 \cdot d1\right)\right)} \cdot d1\right)\right) \cdot d1 \]

   2. lift-*.f64 N/A

      \[\leadsto \left(d1 \cdot \left(\left(\left(\left(\left(d1 \cdot \left(d1 \cdot d1\right)\right) \cdot d1\right) \cdot d1\right) \cdot \color{blue}{\left(d1 \cdot d1\right)}\right) \cdot d1\right)\right) \cdot d1 \]

   3. associate-*r* N/A

      \[\leadsto \left(d1 \cdot \left(\color{blue}{\left(\left(\left(\left(\left(d1 \cdot \left(d1 \cdot d1\right)\right) \cdot d1\right) \cdot d1\right) \cdot d1\right) \cdot d1\right)} \cdot d1\right)\right) \cdot d1 \]

   4. lower-*.f64 N/A

      \[\leadsto \left(d1 \cdot \left(\color{blue}{\left(\left(\left(\left(\left(d1 \cdot \left(d1 \cdot d1\right)\right) \cdot d1\right) \cdot d1\right) \cdot d1\right) \cdot d1\right)} \cdot d1\right)\right) \cdot d1 \]

   5. lower-*.f64 99.9%

      \[\leadsto \left(d1 \cdot \left(\left(\color{blue}{\left(\left(\left(\left(d1 \cdot \left(d1 \cdot d1\right)\right) \cdot d1\right) \cdot d1\right) \cdot d1\right)} \cdot d1\right) \cdot d1\right)\right) \cdot d1 \]

   6. lift-*.f64 N/A

      \[\leadsto \left(d1 \cdot \left(\left(\left(\left(\left(\color{blue}{\left(d1 \cdot \left(d1 \cdot d1\right)\right)} \cdot d1\right) \cdot d1\right) \cdot d1\right) \cdot d1\right) \cdot d1\right)\right) \cdot d1 \]

   7. *-commutative N/A

      \[\leadsto \left(d1 \cdot \left(\left(\left(\left(\left(\color{blue}{\left(\left(d1 \cdot d1\right) \cdot d1\right)} \cdot d1\right) \cdot d1\right) \cdot d1\right) \cdot d1\right) \cdot d1\right)\right) \cdot d1 \]

   8. lower-*.f64 99.9%

      \[\leadsto \left(d1 \cdot \left(\left(\left(\left(\left(\color{blue}{\left(\left(d1 \cdot d1\right) \cdot d1\right)} \cdot d1\right) \cdot d1\right) \cdot d1\right) \cdot d1\right) \cdot d1\right)\right) \cdot d1 \]

3. Applied rewrites 99.9%

   \[\leadsto \left(d1 \cdot \left(\color{blue}{\left(\left(\left(\left(\left(\left(d1 \cdot d1\right) \cdot d1\right) \cdot d1\right) \cdot d1\right) \cdot d1\right) \cdot d1\right)} \cdot d1\right)\right) \cdot d1 \]
4. Add Preprocessing

Alternative 3: 99.9% accurate, 1.0× speedup

Math

\[\begin{array}{l} t_0 := \left(d1 \cdot d1\right) \cdot d1\\ \left(d1 \cdot \left(\left(\left(t\_0 \cdot d1\right) \cdot t\_0\right) \cdot d1\right)\right) \cdot d1 \end{array} \]

FPCore

(FPCore (d1)
  :precision binary64
  (let* ((t_0 (* (* d1 d1) d1)))
  (* (* d1 (* (* (* t_0 d1) t_0) d1)) d1)))

C

double code(double d1) {
	double t_0 = (d1 * d1) * d1;
	return (d1 * (((t_0 * d1) * t_0) * d1)) * d1;
}

Fortran

module fmin_fmax_functions
    implicit none
    private
    public fmax
    public fmin

    interface fmax
        module procedure fmax88
        module procedure fmax44
        module procedure fmax84
        module procedure fmax48
    end interface
    interface fmin
        module procedure fmin88
        module procedure fmin44
        module procedure fmin84
        module procedure fmin48
    end interface
contains
    real(8) function fmax88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(4) function fmax44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, max(x, y), y /= y), x /= x)
    end function
    real(8) function fmax84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmax48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
    end function
    real(8) function fmin88(x, y) result (res)
        real(8), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(4) function fmin44(x, y) result (res)
        real(4), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(y, merge(x, min(x, y), y /= y), x /= x)
    end function
    real(8) function fmin84(x, y) result(res)
        real(8), intent (in) :: x
        real(4), intent (in) :: y
        res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
    end function
    real(8) function fmin48(x, y) result(res)
        real(4), intent (in) :: x
        real(8), intent (in) :: y
        res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
    end function
end module

real(8) function code(d1)
use fmin_fmax_functions
    real(8), intent (in) :: d1
    real(8) :: t_0
    t_0 = (d1 * d1) * d1
    code = (d1 * (((t_0 * d1) * t_0) * d1)) * d1
end function

Java

public static double code(double d1) {
	double t_0 = (d1 * d1) * d1;
	return (d1 * (((t_0 * d1) * t_0) * d1)) * d1;
}

Python

def code(d1):
	t_0 = (d1 * d1) * d1
	return (d1 * (((t_0 * d1) * t_0) * d1)) * d1

Julia

function code(d1)
	t_0 = Float64(Float64(d1 * d1) * d1)
	return Float64(Float64(d1 * Float64(Float64(Float64(t_0 * d1) * t_0) * d1)) * d1)
end

MATLAB

function tmp = code(d1)
	t_0 = (d1 * d1) * d1;
	tmp = (d1 * (((t_0 * d1) * t_0) * d1)) * d1;
end

Wolfram

code[d1_] := Block[{t$95$0 = N[(N[(d1 * d1), $MachinePrecision] * d1), $MachinePrecision]}, N[(N[(d1 * N[(N[(N[(t$95$0 * d1), $MachinePrecision] * t$95$0), $MachinePrecision] * d1), $MachinePrecision]), $MachinePrecision] * d1), $MachinePrecision]]

Derivation

1. Initial program 99.9%

   \[\left(d1 \cdot \left(\left(\left(\left(\left(d1 \cdot \left(d1 \cdot d1\right)\right) \cdot d1\right) \cdot d1\right) \cdot \left(d1 \cdot d1\right)\right) \cdot d1\right)\right) \cdot d1 \]
2. Step-by-step derivation

   1. lift-*.f64 N/A

      \[\leadsto \left(d1 \cdot \left(\color{blue}{\left(\left(\left(\left(d1 \cdot \left(d1 \cdot d1\right)\right) \cdot d1\right) \cdot d1\right) \cdot \left(d1 \cdot d1\right)\right)} \cdot d1\right)\right) \cdot d1 \]

   2. lift-*.f64 N/A

      \[\leadsto \left(d1 \cdot \left(\left(\color{blue}{\left(\left(\left(d1 \cdot \left(d1 \cdot d1\right)\right) \cdot d1\right) \cdot d1\right)} \cdot \left(d1 \cdot d1\right)\right) \cdot d1\right)\right) \cdot d1 \]

   3. associate-*l* N/A

      \[\leadsto \left(d1 \cdot \left(\color{blue}{\left(\left(\left(d1 \cdot \left(d1 \cdot d1\right)\right) \cdot d1\right) \cdot \left(d1 \cdot \left(d1 \cdot d1\right)\right)\right)} \cdot d1\right)\right) \cdot d1 \]

   4. lift-*.f64 N/A

      \[\leadsto \left(d1 \cdot \left(\left(\left(\left(d1 \cdot \left(d1 \cdot d1\right)\right) \cdot d1\right) \cdot \color{blue}{\left(d1 \cdot \left(d1 \cdot d1\right)\right)}\right) \cdot d1\right)\right) \cdot d1 \]

   5. lower-*.f64 99.9%

      \[\leadsto \left(d1 \cdot \left(\color{blue}{\left(\left(\left(d1 \cdot \left(d1 \cdot d1\right)\right) \cdot d1\right) \cdot \left(d1 \cdot \left(d1 \cdot d1\right)\right)\right)} \cdot d1\right)\right) \cdot d1 \]

   6. lift-*.f64 N/A

      \[\leadsto \left(d1 \cdot \left(\left(\left(\color{blue}{\left(d1 \cdot \left(d1 \cdot d1\right)\right)} \cdot d1\right) \cdot \left(d1 \cdot \left(d1 \cdot d1\right)\right)\right) \cdot d1\right)\right) \cdot d1 \]

   7. *-commutative N/A

      \[\leadsto \left(d1 \cdot \left(\left(\left(\color{blue}{\left(\left(d1 \cdot d1\right) \cdot d1\right)} \cdot d1\right) \cdot \left(d1 \cdot \left(d1 \cdot d1\right)\right)\right) \cdot d1\right)\right) \cdot d1 \]

   8. lower-*.f64 99.9%

      \[\leadsto \left(d1 \cdot \left(\left(\left(\color{blue}{\left(\left(d1 \cdot d1\right) \cdot d1\right)} \cdot d1\right) \cdot \left(d1 \cdot \left(d1 \cdot d1\right)\right)\right) \cdot d1\right)\right) \cdot d1 \]

   9. lift-*.f64 N/A

      \[\leadsto \left(d1 \cdot \left(\left(\left(\left(\left(d1 \cdot d1\right) \cdot d1\right) \cdot d1\right) \cdot \color{blue}{\left(d1 \cdot \left(d1 \cdot d1\right)\right)}\right) \cdot d1\right)\right) \cdot d1 \]

   10. *-commutative N/A

       \[\leadsto \left(d1 \cdot \left(\left(\left(\left(\left(d1 \cdot d1\right) \cdot d1\right) \cdot d1\right) \cdot \color{blue}{\left(\left(d1 \cdot d1\right) \cdot d1\right)}\right) \cdot d1\right)\right) \cdot d1 \]

   11. lower-*.f64 99.9%

       \[\leadsto \left(d1 \cdot \left(\left(\left(\left(\left(d1 \cdot d1\right) \cdot d1\right) \cdot d1\right) \cdot \color{blue}{\left(\left(d1 \cdot d1\right) \cdot d1\right)}\right) \cdot d1\right)\right) \cdot d1 \]

3. Applied rewrites 99.9%

   \[\leadsto \left(d1 \cdot \left(\color{blue}{\left(\left(\left(\left(d1 \cdot d1\right) \cdot d1\right) \cdot d1\right) \cdot \left(\left(d1 \cdot d1\right) \cdot d1\right)\right)} \cdot d1\right)\right) \cdot d1 \]
4. Add Preprocessing

Reproduce

herbie shell --seed 2025271 -o generate:evaluate
(FPCore (d1)
  :name "FastMath test5"
  :precision binary64
  (* (* d1 (* (* (* (* (* d1 (* d1 d1)) d1) d1) (* d1 d1)) d1)) d1))