SIMD.int16x8

The SIMD.int16x8 data type is a 128-bit vector divided into 8 lanes storing 16-bit signed integer values.

Figure 1: SIMD.int16x8 in a 128-bit SIMD register

Syntax

SIMD.int16x8(s0, s1, s2, s3, s4, s5, s6, s7);

Parameters

s[0-7] Optional

An integer specifying the value of the lane. Defaults to 0.

Constructors

In addition to the simple constructors, the SIMD API provides the following constructors. Note that you can also convert from another SIMD data type to int16x8.

SIMD.int16x8.splat()

Creates an int16x8 with all lanes set to a given value.

SIMD.int16x8.bool()

Creates an int16x8 with boolean parameters, allowing you to create an explicit selection mask.

Operations

To actually do something with SIMD types, SIMD operations are needed that work on SIMD data types.

Checking SIMD types

SIMD.int16x8.check()

Returns a new int16x8 if the parameter is a valid int16x8 data type. Throws a TypeError otherwise.

Accessing and mutating lanes

SIMD.int16x8.extractLane()

Returns the value of the given lane.

SIMD.int16x8.replaceLane()

Returns a new int16x8 with the given lane value replaced.

Loading from and storing into typed arrays

SIMD.int16x8.load()

Returns a new int16x8 with the lane values loaded from a typed array.

SIMD.int16x8.store()

Stores an int16x8 into a typed array.

Arithmetic operations

SIMD.int16x8.add()

Returns a new int16x8 with the lane values added (a + b).

SIMD.int16x8.mul()

Returns a new int16x8 with the lane values multiplied (a * b).

SIMD.int16x8.neg()

Returns a new int16x8 with the negated lane values.

SIMD.int16x8.sub()

Returns a new int16x8 with the lane values subtracted (a - b).

Shuffling and swizzling

SIMD.int16x8.shuffle()

Returns a new int16x8 with the lane values shuffled.

SIMD.int16x8.swizzle()

Returns a new int16x8 with the lane values swizzled.

Selections

SIMD.int16x8.select()

Returns a new int16x8 with the lane values being a mix of the lanes depending on the selector mask.

SIMD.int16x8.selectBits()

Returns a new int16x8 with the lane values being a mix of bits depending on the selector mask.

Comparisons

SIMD.int16x8.equal()

Returns a selection mask depending on a == b.

SIMD.int16x8.notEqual()

Returns a selection mask depending on a != b.

SIMD.int16x8.lessThan()

Returns a selection mask depending on a < b.

SIMD.int16x8.lessThanOrEqual()

Returns a selection mask depending on a <= b.

SIMD.int16x8.greaterThan()

Returns a selection mask depending on a > b.

SIMD.int16x8.greaterThanOrEqual()

Returns a selection mask depending on a >= b.

Bitwise logical operations

SIMD.int16x8.and()

Returns a new int16x8 with the logical AND of the lane values (a & b).

SIMD.int16x8.or()

Returns a new int16x8 with the logical OR of the lane values (a | b).

SIMD.int16x8.xor()

Returns a new int16x8 with the logical XOR of the lane values (a ^ b).

SIMD.int16x8.not()

Returns a new int16x8 with lane with the logical NOT of the lane values (~a).

Bitwise shift operations

SIMD.int16x8.shiftLeftByScalar()

Returns a new int16x8 with the lane values shifted left by a given bit count (a << bits).

SIMD.int16x8.shiftRightArithmeticByScalar()

Returns a new int16x8 with the lane values shifted right (arithmetic) by a given bit count (a >> bits).

SIMD.int16x8.shiftRightLogicalByScalar()

Returns a new int16x8 with the lane values shifted right (logical) by a given bit count (a >>> bits).

Data conversions (packing / unpacking)

SIMD.int16x8.fromFloat32x4Bits()

Creates a new int16x8 data type with a bit-wise copy from a float32x4.

SIMD.int16x8.fromFloat64x2Bits()

Creates a new int16x8 data type with a bit-wise copy from a float64x2.

SIMD.int16x8.fromInt32x4Bits()

Creates a new int16x8 data type with a bit-wise copy from an int32x4.

SIMD.int16x8.fromInt8x16Bits()

Creates a new int16x8 data type with a bit-wise copy from an int8x16.

Examples

Constructing an int16x8

new SIMD.int16x8(1, 2, 3, 4, 5, 6, 7, 8); // int16x8[1,2,3,4,5,6,7,8]
new SIMD.int16x8(1, 2);                   // int16x8[1,2,0,0,0,0,0,0]
new SIMD.int16x8();                       // int16x8[0,0,0,0,0,0,0,0]

Specifications

SIMD is not yet part of an official standards document or draft. For standardization work and a Polyfill implementation based on typed arrays, see the ecmascript_simd GitHub repository.

Browser compatibility

See also

• SIMD