simdpp::mull(integer)

 

libsimdpp

Types

Capabilities

Operations

Conversions

Bitwise operations

Floating-point operations

Integer operations

Memory access operations

Shuffle operations

Miscellaneous operations

 

Integer operations

Elementary operations
add add_sat	sub sub_sat	mul_lo mul_hi mull	neg
Comparisons
cmp_eq cmp_neq	cmp_lt cmp_gt	cmp_le cmp_ge
Reduction
reduce_add reduce_mul reduce_min reduce_max	reduce_and reduce_or reduce_popcnt
Miscellaneous
abs avg avg_trunc	min max	popcnt
shift_l(scalar) shift_l(vector)	shift_r(scalar) shift_r(vector)

 

template<unsigned N, class E1, class E2> Ret<N, _DETAIL_> mull( Vec1<N,E1> a, Vec2<N,E2> b );

Multiplies two vectors with integer values and returns expanded values. The implementation behaves as if the following set of overloads is provided:

Ret	Vec1	Vec2
int32	int16	int16
uint32	uint16	int16
uint32	int16	uint16
uint32	uint16	uint16
int64	int32	int32
uint64	uint32	int32
uint64	int32	uint32
uint64	uint32	uint32

The return type is a vector expression.

Scalar arguments

Several additional overloads are provided to implement implicit conversions from scalar types. Values of the following types are accepted as the first or the second argument: int32_t, int64_t, uint32_t, uint64_t, float, double. Each element of the expanded vector is set to the source value, converting it using standard conversions if needed.

The return type is a vector expression. The vector type is the same as the vector argument except that masks are unmasked to respective non-mask vector types.

This function does not map to well to native instructions on x86 and PowerPC. On average, for each multiplication instruction a shuffle instruction is needed. Consider using different data layout if this is important.

Parameters

a, b

-

integer vectors

Return value

A vector expression evaluating to a * b.

Equivalent operation

r0 = a0 * b0
...
rN = aN * bN