Functions

__device__ ​ double __dadd_rd ( double  x, double  y )

Add two floating-point values in round-down mode.

Returns

Returns x + y.

Description

Adds two floating-point values x and y in round-down (to negative infinity) mode.

Note:

• For accuracy information see the CUDA C++ Programming Guide, Mathematical Functions Appendix, Double-Precision Floating-Point Functions section.

• This operation will never be merged into a single multiply-add instruction.

__device__ ​ double __dadd_rn ( double  x, double  y )

Add two floating-point values in round-to-nearest-even mode.

Returns

Returns x + y.

Description

Adds two floating-point values x and y in round-to-nearest-even mode.

Note:

• For accuracy information see the CUDA C++ Programming Guide, Mathematical Functions Appendix, Double-Precision Floating-Point Functions section.

• This operation will never be merged into a single multiply-add instruction.

__device__ ​ double __dadd_ru ( double  x, double  y )

Add two floating-point values in round-up mode.

Returns

Returns x + y.

Description

Adds two floating-point values x and y in round-up (to positive infinity) mode.

Note:

• For accuracy information see the CUDA C++ Programming Guide, Mathematical Functions Appendix, Double-Precision Floating-Point Functions section.

• This operation will never be merged into a single multiply-add instruction.

__device__ ​ double __dadd_rz ( double  x, double  y )

Add two floating-point values in round-towards-zero mode.

Returns

Returns x + y.

Description

Adds two floating-point values x and y in round-towards-zero mode.

Note:

• For accuracy information see the CUDA C++ Programming Guide, Mathematical Functions Appendix, Double-Precision Floating-Point Functions section.

• This operation will never be merged into a single multiply-add instruction.

__device__ ​ double __ddiv_rd ( double  x, double  y )

Divide two floating-point values in round-down mode.

Returns

Returns x / y.

Description

Divides two floating-point values x by y in round-down (to negative infinity) mode.

Note:

• For accuracy information see the CUDA C++ Programming Guide, Mathematical Functions Appendix, Double-Precision Floating-Point Functions section.

• Requires compute capability >= 2.0.

__device__ ​ double __ddiv_rn ( double  x, double  y )

Divide two floating-point values in round-to-nearest-even mode.

Returns

Returns x / y.

Description

Divides two floating-point values x by y in round-to-nearest-even mode.

Note:

• For accuracy information see the CUDA C++ Programming Guide, Mathematical Functions Appendix, Double-Precision Floating-Point Functions section.

• Requires compute capability >= 2.0.

__device__ ​ double __ddiv_ru ( double  x, double  y )

Divide two floating-point values in round-up mode.

Returns

Returns x / y.

Description

Divides two floating-point values x by y in round-up (to positive infinity) mode.

Note:

• For accuracy information see the CUDA C++ Programming Guide, Mathematical Functions Appendix, Double-Precision Floating-Point Functions section.

• Requires compute capability >= 2.0.

__device__ ​ double __ddiv_rz ( double  x, double  y )

Divide two floating-point values in round-towards-zero mode.

Returns

Returns x / y.

Description

Divides two floating-point values x by y in round-towards-zero mode.

Note:

• For accuracy information see the CUDA C++ Programming Guide, Mathematical Functions Appendix, Double-Precision Floating-Point Functions section.

• Requires compute capability >= 2.0.

__device__ ​ double __dmul_rd ( double  x, double  y )

Multiply two floating-point values in round-down mode.

Returns

Returns x * y.

Description

Multiplies two floating-point values x and y in round-down (to negative infinity) mode.

Note:

• For accuracy information see the CUDA C++ Programming Guide, Mathematical Functions Appendix, Double-Precision Floating-Point Functions section.

• This operation will never be merged into a single multiply-add instruction.

__device__ ​ double __dmul_rn ( double  x, double  y )

Multiply two floating-point values in round-to-nearest-even mode.

Returns

Returns x * y.

Description

Multiplies two floating-point values x and y in round-to-nearest-even mode.

Note:

• For accuracy information see the CUDA C++ Programming Guide, Mathematical Functions Appendix, Double-Precision Floating-Point Functions section.

• This operation will never be merged into a single multiply-add instruction.

__device__ ​ double __dmul_ru ( double  x, double  y )

Multiply two floating-point values in round-up mode.

Returns

Returns x * y.

Description

Multiplies two floating-point values x and y in round-up (to positive infinity) mode.

Note:

• For accuracy information see the CUDA C++ Programming Guide, Mathematical Functions Appendix, Double-Precision Floating-Point Functions section.

• This operation will never be merged into a single multiply-add instruction.

__device__ ​ double __dmul_rz ( double  x, double  y )

Multiply two floating-point values in round-towards-zero mode.

Returns

Returns x * y.

Description

Multiplies two floating-point values x and y in round-towards-zero mode.

Note:

• For accuracy information see the CUDA C++ Programming Guide, Mathematical Functions Appendix, Double-Precision Floating-Point Functions section.

• This operation will never be merged into a single multiply-add instruction.

__device__ ​ double __drcp_rd ( double  x )

Compute $\frac{1}{x}$ in round-down mode.

Returns

Returns $\frac{1}{x}$ .

Description

Compute the reciprocal of x in round-down (to negative infinity) mode.

Note:

• For accuracy information see the CUDA C++ Programming Guide, Mathematical Functions Appendix, Double-Precision Floating-Point Functions section.

• Requires compute capability >= 2.0.

__device__ ​ double __drcp_rn ( double  x )

Compute $\frac{1}{x}$ in round-to-nearest-even mode.

Returns

Returns $\frac{1}{x}$ .

Description

Compute the reciprocal of x in round-to-nearest-even mode.

Note:

• For accuracy information see the CUDA C++ Programming Guide, Mathematical Functions Appendix, Double-Precision Floating-Point Functions section.

• Requires compute capability >= 2.0.

__device__ ​ double __drcp_ru ( double  x )

Compute $\frac{1}{x}$ in round-up mode.

Returns

Returns $\frac{1}{x}$ .

Description

Compute the reciprocal of x in round-up (to positive infinity) mode.

Note:

• For accuracy information see the CUDA C++ Programming Guide, Mathematical Functions Appendix, Double-Precision Floating-Point Functions section.

• Requires compute capability >= 2.0.

__device__ ​ double __drcp_rz ( double  x )

Compute $\frac{1}{x}$ in round-towards-zero mode.

Returns

Returns $\frac{1}{x}$ .

Description

Compute the reciprocal of x in round-towards-zero mode.

Note:

• For accuracy information see the CUDA C++ Programming Guide, Mathematical Functions Appendix, Double-Precision Floating-Point Functions section.

• Requires compute capability >= 2.0.

__device__ ​ double __dsqrt_rd ( double  x )

Compute $\sqrt{x}$ in round-down mode.

Returns

Returns $\sqrt{x}$ .

Description

Compute the square root of x in round-down (to negative infinity) mode.

Note:

• For accuracy information see the CUDA C++ Programming Guide, Mathematical Functions Appendix, Double-Precision Floating-Point Functions section.

• Requires compute capability >= 2.0.

__device__ ​ double __dsqrt_rn ( double  x )

Compute $\sqrt{x}$ in round-to-nearest-even mode.

Returns

Returns $\sqrt{x}$ .

Description

Compute the square root of x in round-to-nearest-even mode.

Note:

• For accuracy information see the CUDA C++ Programming Guide, Mathematical Functions Appendix, Double-Precision Floating-Point Functions section.

• Requires compute capability >= 2.0.

__device__ ​ double __dsqrt_ru ( double  x )

Compute $\sqrt{x}$ in round-up mode.

Returns

Returns $\sqrt{x}$ .

Description

Compute the square root of x in round-up (to positive infinity) mode.

Note:

• For accuracy information see the CUDA C++ Programming Guide, Mathematical Functions Appendix, Double-Precision Floating-Point Functions section.

• Requires compute capability >= 2.0.

__device__ ​ double __dsqrt_rz ( double  x )

Compute $\sqrt{x}$ in round-towards-zero mode.

Returns

Returns $\sqrt{x}$ .

Description

Compute the square root of x in round-towards-zero mode.

Note:

• For accuracy information see the CUDA C++ Programming Guide, Mathematical Functions Appendix, Double-Precision Floating-Point Functions section.

• Requires compute capability >= 2.0.

__device__ ​ double __dsub_rd ( double  x, double  y )

Subtract two floating-point values in round-down mode.

Returns

Returns x - y.

Description

Subtracts two floating-point values x and y in round-down (to negative infinity) mode.

Note:

• For accuracy information see the CUDA C++ Programming Guide, Mathematical Functions Appendix, Double-Precision Floating-Point Functions section.

• This operation will never be merged into a single multiply-add instruction.

__device__ ​ double __dsub_rn ( double  x, double  y )

Subtract two floating-point values in round-to-nearest-even mode.

Returns

Returns x - y.

Description

Subtracts two floating-point values x and y in round-to-nearest-even mode.

Note:

• For accuracy information see the CUDA C++ Programming Guide, Mathematical Functions Appendix, Double-Precision Floating-Point Functions section.

• This operation will never be merged into a single multiply-add instruction.

__device__ ​ double __dsub_ru ( double  x, double  y )

Subtract two floating-point values in round-up mode.

Returns

Returns x - y.

Description

Subtracts two floating-point values x and y in round-up (to positive infinity) mode.

Note:

• For accuracy information see the CUDA C++ Programming Guide, Mathematical Functions Appendix, Double-Precision Floating-Point Functions section.

• This operation will never be merged into a single multiply-add instruction.

__device__ ​ double __dsub_rz ( double  x, double  y )

Subtract two floating-point values in round-towards-zero mode.

Returns

Returns x - y.

Description

Subtracts two floating-point values x and y in round-towards-zero mode.

Note:

• For accuracy information see the CUDA C++ Programming Guide, Mathematical Functions Appendix, Double-Precision Floating-Point Functions section.

• This operation will never be merged into a single multiply-add instruction.

__device__ ​ double __fma_rd ( double  x, double  y, double  z )

Compute $x\times y+z$ as a single operation in round-down mode.

Returns

Returns the rounded value of $x\times y+z$ as a single operation.

• fmaf( $\pm \mathrm{\infty }$ , $\pm 0$ , z) returns NaN.
• fmaf( $\pm 0$ , $\pm \mathrm{\infty }$ , z) returns NaN.
• fmaf(x, y, $-\mathrm{\infty }$ ) returns NaN if $x\times y$ is an exact $+\mathrm{\infty }$
• fmaf(x, y, $+\mathrm{\infty }$ ) returns NaN if $x\times y$ is an exact $-\mathrm{\infty }$

Description

Computes the value of $x\times y+z$ as a single ternary operation, rounding the result once in round-down (to negative infinity) mode.

Note:

For accuracy information see the CUDA C++ Programming Guide, Mathematical Functions Appendix, Double-Precision Floating-Point Functions section.

__device__ ​ double __fma_rn ( double  x, double  y, double  z )

Compute $x\times y+z$ as a single operation in round-to-nearest-even mode.

Returns

Returns the rounded value of $x\times y+z$ as a single operation.

• fmaf( $\pm \mathrm{\infty }$ , $\pm 0$ , z) returns NaN.
• fmaf( $\pm 0$ , $\pm \mathrm{\infty }$ , z) returns NaN.
• fmaf(x, y, $-\mathrm{\infty }$ ) returns NaN if $x\times y$ is an exact $+\mathrm{\infty }$
• fmaf(x, y, $+\mathrm{\infty }$ ) returns NaN if $x\times y$ is an exact $-\mathrm{\infty }$

Description

Computes the value of $x\times y+z$ as a single ternary operation, rounding the result once in round-to-nearest-even mode.

Note:

For accuracy information see the CUDA C++ Programming Guide, Mathematical Functions Appendix, Double-Precision Floating-Point Functions section.

__device__ ​ double __fma_ru ( double  x, double  y, double  z )

Compute $x\times y+z$ as a single operation in round-up mode.

Returns

Returns the rounded value of $x\times y+z$ as a single operation.

• fmaf( $\pm \mathrm{\infty }$ , $\pm 0$ , z) returns NaN.
• fmaf( $\pm 0$ , $\pm \mathrm{\infty }$ , z) returns NaN.
• fmaf(x, y, $-\mathrm{\infty }$ ) returns NaN if $x\times y$ is an exact $+\mathrm{\infty }$
• fmaf(x, y, $+\mathrm{\infty }$ ) returns NaN if $x\times y$ is an exact $-\mathrm{\infty }$

Description

Computes the value of $x\times y+z$ as a single ternary operation, rounding the result once in round-up (to positive infinity) mode.

Note:

For accuracy information see the CUDA C++ Programming Guide, Mathematical Functions Appendix, Double-Precision Floating-Point Functions section.

__device__ ​ double __fma_rz ( double  x, double  y, double  z )

Compute $x\times y+z$ as a single operation in round-towards-zero mode.

Returns

Returns the rounded value of $x\times y+z$ as a single operation.

• fmaf( $\pm \mathrm{\infty }$ , $\pm 0$ , z) returns NaN.
• fmaf( $\pm 0$ , $\pm \mathrm{\infty }$ , z) returns NaN.
• fmaf(x, y, $-\mathrm{\infty }$ ) returns NaN if $x\times y$ is an exact $+\mathrm{\infty }$
• fmaf(x, y, $+\mathrm{\infty }$ ) returns NaN if $x\times y$ is an exact $-\mathrm{\infty }$

Description

Computes the value of $x\times y+z$ as a single ternary operation, rounding the result once in round-towards-zero mode.

Note:

For accuracy information see the CUDA C++ Programming Guide, Mathematical Functions Appendix, Double-Precision Floating-Point Functions section.