Module wasm

🔬This is a nightly-only experimental API. (simd_wasm64 #90599)

Available on target_family="wasm" only.

Platform-specific intrinsics for the wasm target family.

See the module documentation for more details.

Structs

• v128Experimental
  WASM-specific 128-bit wide SIMD vector type.

Functions

• f32x4Experimental
  Materializes a SIMD value from the provided operands.
• f32x4_absExperimentalsimd128
  Calculates the absolute value of each lane of a 128-bit vector interpreted as four 32-bit floating point numbers.
• f32x4_addExperimentalsimd128
  Lane-wise addition of two 128-bit vectors interpreted as four 32-bit floating point numbers.
• f32x4_ceilExperimentalsimd128
  Lane-wise rounding to the nearest integral value not smaller than the input.
• f32x4_convert_i32x4Experimentalsimd128
  Converts a 128-bit vector interpreted as four 32-bit signed integers into a 128-bit vector of four 32-bit floating point numbers.
• f32x4_convert_u32x4Experimentalsimd128
  Converts a 128-bit vector interpreted as four 32-bit unsigned integers into a 128-bit vector of four 32-bit floating point numbers.
• f32x4_demote_f64x2_zeroExperimentalsimd128
  Conversion of the two double-precision floating point lanes to two lower single-precision lanes of the result. The two higher lanes of the result are initialized to zero. If the conversion result is not representable as a single-precision floating point number, it is rounded to the nearest-even representable number.
• f32x4_divExperimentalsimd128
  Lane-wise division of two 128-bit vectors interpreted as four 32-bit floating point numbers.
• f32x4_eqExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 4 thirty-two-bit floating point numbers.
• f32x4_extract_laneExperimentalsimd128
  Extracts a lane from a 128-bit vector interpreted as 4 packed f32 numbers.
• f32x4_floorExperimentalsimd128
  Lane-wise rounding to the nearest integral value not greater than the input.
• f32x4_geExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 4 thirty-two-bit floating point numbers.
• f32x4_gtExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 4 thirty-two-bit floating point numbers.
• f32x4_leExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 4 thirty-two-bit floating point numbers.
• f32x4_ltExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 4 thirty-two-bit floating point numbers.
• f32x4_maxExperimentalsimd128
  Calculates the lane-wise minimum of two 128-bit vectors interpreted as four 32-bit floating point numbers.
• f32x4_minExperimentalsimd128
  Calculates the lane-wise minimum of two 128-bit vectors interpreted as four 32-bit floating point numbers.
• f32x4_mulExperimentalsimd128
  Lane-wise multiplication of two 128-bit vectors interpreted as four 32-bit floating point numbers.
• f32x4_neExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 4 thirty-two-bit floating point numbers.
• f32x4_nearestExperimentalsimd128
  Lane-wise rounding to the nearest integral value; if two values are equally near, rounds to the even one.
• f32x4_negExperimentalsimd128
  Negates each lane of a 128-bit vector interpreted as four 32-bit floating point numbers.
• f32x4_pmaxExperimentalsimd128
  Lane-wise maximum value, defined as a < b ? b : a
• f32x4_pminExperimentalsimd128
  Lane-wise minimum value, defined as b < a ? b : a
• f32x4_relaxed_maddExperimentalrelaxed-simd
  Computes a * b + c with either one rounding or two roundings.
• f32x4_relaxed_maxExperimentalrelaxed-simd
  A relaxed version of f32x4_max which is either f32x4_max or f32x4_pmax.
• f32x4_relaxed_minExperimentalrelaxed-simd
  A relaxed version of f32x4_min which is either f32x4_min or f32x4_pmin.
• f32x4_relaxed_nmaddExperimentalrelaxed-simd
  Computes -a * b + c with either one rounding or two roundings.
• f32x4_replace_laneExperimentalsimd128
  Replaces a lane from a 128-bit vector interpreted as 4 packed f32 numbers.
• f32x4_splatExperimentalsimd128
  Creates a vector with identical lanes.
• f32x4_sqrtExperimentalsimd128
  Calculates the square root of each lane of a 128-bit vector interpreted as four 32-bit floating point numbers.
• f32x4_subExperimentalsimd128
  Lane-wise subtraction of two 128-bit vectors interpreted as four 32-bit floating point numbers.
• f32x4_truncExperimentalsimd128
  Lane-wise rounding to the nearest integral value with the magnitude not larger than the input.
• f64x2Experimental
  Materializes a SIMD value from the provided operands.
• f64x2_absExperimentalsimd128
  Calculates the absolute value of each lane of a 128-bit vector interpreted as two 64-bit floating point numbers.
• f64x2_addExperimentalsimd128
  Lane-wise add of two 128-bit vectors interpreted as two 64-bit floating point numbers.
• f64x2_ceilExperimentalsimd128
  Lane-wise rounding to the nearest integral value not smaller than the input.
• f64x2_convert_low_i32x4Experimentalsimd128
  Lane-wise conversion from integer to floating point.
• f64x2_convert_low_u32x4Experimentalsimd128
  Lane-wise conversion from integer to floating point.
• f64x2_divExperimentalsimd128
  Lane-wise divide of two 128-bit vectors interpreted as two 64-bit floating point numbers.
• f64x2_eqExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 2 sixty-four-bit floating point numbers.
• f64x2_extract_laneExperimentalsimd128
  Extracts a lane from a 128-bit vector interpreted as 2 packed f64 numbers.
• f64x2_floorExperimentalsimd128
  Lane-wise rounding to the nearest integral value not greater than the input.
• f64x2_geExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 2 sixty-four-bit floating point numbers.
• f64x2_gtExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 2 sixty-four-bit floating point numbers.
• f64x2_leExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 2 sixty-four-bit floating point numbers.
• f64x2_ltExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 2 sixty-four-bit floating point numbers.
• f64x2_maxExperimentalsimd128
  Calculates the lane-wise maximum of two 128-bit vectors interpreted as two 64-bit floating point numbers.
• f64x2_minExperimentalsimd128
  Calculates the lane-wise minimum of two 128-bit vectors interpreted as two 64-bit floating point numbers.
• f64x2_mulExperimentalsimd128
  Lane-wise multiply of two 128-bit vectors interpreted as two 64-bit floating point numbers.
• f64x2_neExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 2 sixty-four-bit floating point numbers.
• f64x2_nearestExperimentalsimd128
  Lane-wise rounding to the nearest integral value; if two values are equally near, rounds to the even one.
• f64x2_negExperimentalsimd128
  Negates each lane of a 128-bit vector interpreted as two 64-bit floating point numbers.
• f64x2_pmaxExperimentalsimd128
  Lane-wise maximum value, defined as a < b ? b : a
• f64x2_pminExperimentalsimd128
  Lane-wise minimum value, defined as b < a ? b : a
• f64x2_promote_low_f32x4Experimentalsimd128
  Conversion of the two lower single-precision floating point lanes to the two double-precision lanes of the result.
• f64x2_relaxed_maddExperimentalrelaxed-simd
  Computes a * b + c with either one rounding or two roundings.
• f64x2_relaxed_maxExperimentalrelaxed-simd
  A relaxed version of f64x2_max which is either f64x2_max or f64x2_pmax.
• f64x2_relaxed_minExperimentalrelaxed-simd
  A relaxed version of f64x2_min which is either f64x2_min or f64x2_pmin.
• f64x2_relaxed_nmaddExperimentalrelaxed-simd
  Computes -a * b + c with either one rounding or two roundings.
• f64x2_replace_laneExperimentalsimd128
  Replaces a lane from a 128-bit vector interpreted as 2 packed f64 numbers.
• f64x2_splatExperimentalsimd128
  Creates a vector with identical lanes.
• f64x2_sqrtExperimentalsimd128
  Calculates the square root of each lane of a 128-bit vector interpreted as two 64-bit floating point numbers.
• f64x2_subExperimentalsimd128
  Lane-wise subtract of two 128-bit vectors interpreted as two 64-bit floating point numbers.
• f64x2_truncExperimentalsimd128
  Lane-wise rounding to the nearest integral value with the magnitude not larger than the input.
• i8x16Experimental
  Materializes a SIMD value from the provided operands.
• i8x16_absExperimentalsimd128
  Lane-wise wrapping absolute value.
• i8x16_addExperimentalsimd128
  Adds two 128-bit vectors as if they were two packed sixteen 8-bit integers.
• i8x16_add_satExperimentalsimd128
  Adds two 128-bit vectors as if they were two packed sixteen 8-bit signed integers, saturating on overflow to i8::MAX.
• i8x16_all_trueExperimentalsimd128
  Returns true if all lanes are non-zero, false otherwise.
• i8x16_bitmaskExperimentalsimd128
  Extracts the high bit for each lane in a and produce a scalar mask with all bits concatenated.
• i8x16_eqExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 16 eight-bit integers.
• i8x16_extract_laneExperimentalsimd128
  Extracts a lane from a 128-bit vector interpreted as 16 packed i8 numbers.
• i8x16_geExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 16 eight-bit signed integers.
• i8x16_gtExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 16 eight-bit signed integers.
• i8x16_leExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 16 eight-bit signed integers.
• i8x16_ltExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 16 eight-bit signed integers.
• i8x16_maxExperimentalsimd128
  Compares lane-wise signed integers, and returns the maximum of each pair.
• i8x16_minExperimentalsimd128
  Compares lane-wise signed integers, and returns the minimum of each pair.
• i8x16_narrow_i16x8Experimentalsimd128
  Converts two input vectors into a smaller lane vector by narrowing each lane.
• i8x16_neExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 16 eight-bit integers.
• i8x16_negExperimentalsimd128
  Negates a 128-bit vectors interpreted as sixteen 8-bit signed integers
• i8x16_popcntExperimentalsimd128
  Count the number of bits set to one within each lane.
• i8x16_relaxed_laneselectExperimentalrelaxed-simd
  A relaxed version of v128_bitselect where this either behaves the same as v128_bitselect or the high bit of each lane m is inspected and the corresponding lane of a is chosen if the bit is 1 or the lane of b is chosen if it’s zero.
• i8x16_relaxed_swizzleExperimentalrelaxed-simd
  A relaxed version of i8x16_swizzle(a, s) which selects lanes from a using indices in s.
• i8x16_replace_laneExperimentalsimd128
  Replaces a lane from a 128-bit vector interpreted as 16 packed i8 numbers.
• i8x16_shlExperimentalsimd128
  Shifts each lane to the left by the specified number of bits.
• i8x16_shrExperimentalsimd128
  Shifts each lane to the right by the specified number of bits, sign extending.
• i8x16_shuffleExperimentalsimd128
  Returns a new vector with lanes selected from the lanes of the two input vectors $a and $b specified in the 16 immediate operands.
• i8x16_splatExperimentalsimd128
  Creates a vector with identical lanes.
• i8x16_subExperimentalsimd128
  Subtracts two 128-bit vectors as if they were two packed sixteen 8-bit integers.
• i8x16_sub_satExperimentalsimd128
  Subtracts two 128-bit vectors as if they were two packed sixteen 8-bit signed integers, saturating on overflow to i8::MIN.
• i8x16_swizzleExperimentalsimd128
  Returns a new vector with lanes selected from the lanes of the first input vector a specified in the second input vector s.
• i16x8Experimental
  Materializes a SIMD value from the provided operands.
• i16x8_absExperimentalsimd128
  Lane-wise wrapping absolute value.
• i16x8_addExperimentalsimd128
  Adds two 128-bit vectors as if they were two packed eight 16-bit integers.
• i16x8_add_satExperimentalsimd128
  Adds two 128-bit vectors as if they were two packed eight 16-bit signed integers, saturating on overflow to i16::MAX.
• i16x8_all_trueExperimentalsimd128
  Returns true if all lanes are non-zero, false otherwise.
• i16x8_bitmaskExperimentalsimd128
  Extracts the high bit for each lane in a and produce a scalar mask with all bits concatenated.
• i16x8_eqExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 8 sixteen-bit integers.
• i16x8_extadd_pairwise_i8x16Experimentalsimd128
  Integer extended pairwise addition producing extended results (twice wider results than the inputs).
• i16x8_extadd_pairwise_u8x16Experimentalsimd128
  Integer extended pairwise addition producing extended results (twice wider results than the inputs).
• i16x8_extend_high_i8x16Experimentalsimd128
  Converts high half of the smaller lane vector to a larger lane vector, sign extended.
• i16x8_extend_high_u8x16Experimentalsimd128
  Converts high half of the smaller lane vector to a larger lane vector, zero extended.
• i16x8_extend_low_i8x16Experimentalsimd128
  Converts low half of the smaller lane vector to a larger lane vector, sign extended.
• i16x8_extend_low_u8x16Experimentalsimd128
  Converts low half of the smaller lane vector to a larger lane vector, zero extended.
• i16x8_extmul_high_i8x16Experimentalsimd128
  Lane-wise integer extended multiplication producing twice wider result than the inputs.
• i16x8_extmul_high_u8x16Experimentalsimd128
  Lane-wise integer extended multiplication producing twice wider result than the inputs.
• i16x8_extmul_low_i8x16Experimentalsimd128
  Lane-wise integer extended multiplication producing twice wider result than the inputs.
• i16x8_extmul_low_u8x16Experimentalsimd128
  Lane-wise integer extended multiplication producing twice wider result than the inputs.
• i16x8_extract_laneExperimentalsimd128
  Extracts a lane from a 128-bit vector interpreted as 8 packed i16 numbers.
• i16x8_geExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 8 sixteen-bit signed integers.
• i16x8_gtExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 8 sixteen-bit signed integers.
• i16x8_leExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 8 sixteen-bit signed integers.
• i16x8_load_extend_i8x8^⚠Experimentalsimd128
  Load eight 8-bit integers and sign extend each one to a 16-bit lane
• i16x8_load_extend_u8x8^⚠Experimentalsimd128
  Load eight 8-bit integers and zero extend each one to a 16-bit lane
• i16x8_ltExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 8 sixteen-bit signed integers.
• i16x8_maxExperimentalsimd128
  Compares lane-wise signed integers, and returns the maximum of each pair.
• i16x8_minExperimentalsimd128
  Compares lane-wise signed integers, and returns the minimum of each pair.
• i16x8_mulExperimentalsimd128
  Multiplies two 128-bit vectors as if they were two packed eight 16-bit signed integers.
• i16x8_narrow_i32x4Experimentalsimd128
  Converts two input vectors into a smaller lane vector by narrowing each lane.
• i16x8_neExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 8 sixteen-bit integers.
• i16x8_negExperimentalsimd128
  Negates a 128-bit vectors interpreted as eight 16-bit signed integers
• i16x8_q15mulr_satExperimentalsimd128
  Lane-wise saturating rounding multiplication in Q15 format.
• i16x8_relaxed_dot_i8x16_i7x16Experimentalrelaxed-simd
  A relaxed dot-product instruction.
• i16x8_relaxed_laneselectExperimentalrelaxed-simd
  A relaxed version of v128_bitselect where this either behaves the same as v128_bitselect or the high bit of each lane m is inspected and the corresponding lane of a is chosen if the bit is 1 or the lane of b is chosen if it’s zero.
• i16x8_relaxed_q15mulrExperimentalrelaxed-simd
  A relaxed version of i16x8_relaxed_q15mulr where if both lanes are i16::MIN then the result is either i16::MIN or i16::MAX.
• i16x8_replace_laneExperimentalsimd128
  Replaces a lane from a 128-bit vector interpreted as 8 packed i16 numbers.
• i16x8_shlExperimentalsimd128
  Shifts each lane to the left by the specified number of bits.
• i16x8_shrExperimentalsimd128
  Shifts each lane to the right by the specified number of bits, sign extending.
• i16x8_shuffleExperimentalsimd128
  Same as i8x16_shuffle, except operates as if the inputs were eight 16-bit integers, only taking 8 indices to shuffle.
• i16x8_splatExperimentalsimd128
  Creates a vector with identical lanes.
• i16x8_subExperimentalsimd128
  Subtracts two 128-bit vectors as if they were two packed eight 16-bit integers.
• i16x8_sub_satExperimentalsimd128
  Subtracts two 128-bit vectors as if they were two packed eight 16-bit signed integers, saturating on overflow to i16::MIN.
• i32x4Experimental
  Materializes a SIMD value from the provided operands.
• i32x4_absExperimentalsimd128
  Lane-wise wrapping absolute value.
• i32x4_addExperimentalsimd128
  Adds two 128-bit vectors as if they were two packed four 32-bit integers.
• i32x4_all_trueExperimentalsimd128
  Returns true if all lanes are non-zero, false otherwise.
• i32x4_bitmaskExperimentalsimd128
  Extracts the high bit for each lane in a and produce a scalar mask with all bits concatenated.
• i32x4_dot_i16x8Experimentalsimd128
  Lane-wise multiply signed 16-bit integers in the two input vectors and add adjacent pairs of the full 32-bit results.
• i32x4_eqExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 4 thirty-two-bit integers.
• i32x4_extadd_pairwise_i16x8Experimentalsimd128
  Integer extended pairwise addition producing extended results (twice wider results than the inputs).
• i32x4_extadd_pairwise_u16x8Experimentalsimd128
  Integer extended pairwise addition producing extended results (twice wider results than the inputs).
• i32x4_extend_high_i16x8Experimentalsimd128
  Converts high half of the smaller lane vector to a larger lane vector, sign extended.
• i32x4_extend_high_u16x8Experimentalsimd128
  Converts high half of the smaller lane vector to a larger lane vector, zero extended.
• i32x4_extend_low_i16x8Experimentalsimd128
  Converts low half of the smaller lane vector to a larger lane vector, sign extended.
• i32x4_extend_low_u16x8Experimentalsimd128
  Converts low half of the smaller lane vector to a larger lane vector, zero extended.
• i32x4_extmul_high_i16x8Experimentalsimd128
  Lane-wise integer extended multiplication producing twice wider result than the inputs.
• i32x4_extmul_high_u16x8Experimentalsimd128
  Lane-wise integer extended multiplication producing twice wider result than the inputs.
• i32x4_extmul_low_i16x8Experimentalsimd128
  Lane-wise integer extended multiplication producing twice wider result than the inputs.
• i32x4_extmul_low_u16x8Experimentalsimd128
  Lane-wise integer extended multiplication producing twice wider result than the inputs.
• i32x4_extract_laneExperimentalsimd128
  Extracts a lane from a 128-bit vector interpreted as 4 packed i32 numbers.
• i32x4_geExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 4 thirty-two-bit signed integers.
• i32x4_gtExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 4 thirty-two-bit signed integers.
• i32x4_leExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 4 thirty-two-bit signed integers.
• i32x4_load_extend_i16x4^⚠Experimentalsimd128
  Load four 16-bit integers and sign extend each one to a 32-bit lane
• i32x4_load_extend_u16x4^⚠Experimentalsimd128
  Load four 16-bit integers and zero extend each one to a 32-bit lane
• i32x4_ltExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 4 thirty-two-bit signed integers.
• i32x4_maxExperimentalsimd128
  Compares lane-wise signed integers, and returns the maximum of each pair.
• i32x4_minExperimentalsimd128
  Compares lane-wise signed integers, and returns the minimum of each pair.
• i32x4_mulExperimentalsimd128
  Multiplies two 128-bit vectors as if they were two packed four 32-bit signed integers.
• i32x4_neExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 4 thirty-two-bit integers.
• i32x4_negExperimentalsimd128
  Negates a 128-bit vectors interpreted as four 32-bit signed integers
• i32x4_relaxed_dot_i8x16_i7x16_addExperimentalrelaxed-simd
  Similar to i16x8_relaxed_dot_i8x16_i7x16 except that the intermediate i16x8 result is fed into i32x4_extadd_pairwise_i16x8 followed by i32x4_add to add the value c to the result.
• i32x4_relaxed_laneselectExperimentalrelaxed-simd
  A relaxed version of v128_bitselect where this either behaves the same as v128_bitselect or the high bit of each lane m is inspected and the corresponding lane of a is chosen if the bit is 1 or the lane of b is chosen if it’s zero.
• i32x4_relaxed_trunc_f32x4Experimentalrelaxed-simd
  A relaxed version of i32x4_trunc_sat_f32x4(a) converts the f32 lanes of a to signed 32-bit integers.
• i32x4_relaxed_trunc_f64x2_zeroExperimentalrelaxed-simd
  A relaxed version of i32x4_trunc_sat_f64x2_zero(a) converts the f64 lanes of a to signed 32-bit integers and the upper two lanes are zero.
• i32x4_replace_laneExperimentalsimd128
  Replaces a lane from a 128-bit vector interpreted as 4 packed i32 numbers.
• i32x4_shlExperimentalsimd128
  Shifts each lane to the left by the specified number of bits.
• i32x4_shrExperimentalsimd128
  Shifts each lane to the right by the specified number of bits, sign extending.
• i32x4_shuffleExperimentalsimd128
  Same as i8x16_shuffle, except operates as if the inputs were four 32-bit integers, only taking 4 indices to shuffle.
• i32x4_splatExperimentalsimd128
  Creates a vector with identical lanes.
• i32x4_subExperimentalsimd128
  Subtracts two 128-bit vectors as if they were two packed four 32-bit integers.
• i32x4_trunc_sat_f32x4Experimentalsimd128
  Converts a 128-bit vector interpreted as four 32-bit floating point numbers into a 128-bit vector of four 32-bit signed integers.
• i32x4_trunc_sat_f64x2_zeroExperimentalsimd128
  Saturating conversion of the two double-precision floating point lanes to two lower integer lanes using the IEEE convertToIntegerTowardZero function.
• i64x2Experimental
  Materializes a SIMD value from the provided operands.
• i64x2_absExperimentalsimd128
  Lane-wise wrapping absolute value.
• i64x2_addExperimentalsimd128
  Adds two 128-bit vectors as if they were two packed two 64-bit integers.
• i64x2_all_trueExperimentalsimd128
  Returns true if all lanes are non-zero, false otherwise.
• i64x2_bitmaskExperimentalsimd128
  Extracts the high bit for each lane in a and produce a scalar mask with all bits concatenated.
• i64x2_eqExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 2 sixty-four-bit integers.
• i64x2_extend_high_i32x4Experimentalsimd128
  Converts high half of the smaller lane vector to a larger lane vector, sign extended.
• i64x2_extend_high_u32x4Experimentalsimd128
  Converts high half of the smaller lane vector to a larger lane vector, zero extended.
• i64x2_extend_low_i32x4Experimentalsimd128
  Converts low half of the smaller lane vector to a larger lane vector, sign extended.
• i64x2_extend_low_u32x4Experimentalsimd128
  Converts low half of the smaller lane vector to a larger lane vector, zero extended.
• i64x2_extmul_high_i32x4Experimentalsimd128
  Lane-wise integer extended multiplication producing twice wider result than the inputs.
• i64x2_extmul_high_u32x4Experimentalsimd128
  Lane-wise integer extended multiplication producing twice wider result than the inputs.
• i64x2_extmul_low_i32x4Experimentalsimd128
  Lane-wise integer extended multiplication producing twice wider result than the inputs.
• i64x2_extmul_low_u32x4Experimentalsimd128
  Lane-wise integer extended multiplication producing twice wider result than the inputs.
• i64x2_extract_laneExperimentalsimd128
  Extracts a lane from a 128-bit vector interpreted as 2 packed i64 numbers.
• i64x2_geExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 2 sixty-four-bit signed integers.
• i64x2_gtExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 2 sixty-four-bit signed integers.
• i64x2_leExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 2 sixty-four-bit signed integers.
• i64x2_load_extend_i32x2^⚠Experimentalsimd128
  Load two 32-bit integers and sign extend each one to a 64-bit lane
• i64x2_load_extend_u32x2^⚠Experimentalsimd128
  Load two 32-bit integers and zero extend each one to a 64-bit lane
• i64x2_ltExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 2 sixty-four-bit signed integers.
• i64x2_mulExperimentalsimd128
  Multiplies two 128-bit vectors as if they were two packed two 64-bit integers.
• i64x2_neExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 2 sixty-four-bit integers.
• i64x2_negExperimentalsimd128
  Negates a 128-bit vectors interpreted as two 64-bit signed integers
• i64x2_relaxed_laneselectExperimentalrelaxed-simd
  A relaxed version of v128_bitselect where this either behaves the same as v128_bitselect or the high bit of each lane m is inspected and the corresponding lane of a is chosen if the bit is 1 or the lane of b is chosen if it’s zero.
• i64x2_replace_laneExperimentalsimd128
  Replaces a lane from a 128-bit vector interpreted as 2 packed i64 numbers.
• i64x2_shlExperimentalsimd128
  Shifts each lane to the left by the specified number of bits.
• i64x2_shrExperimentalsimd128
  Shifts each lane to the right by the specified number of bits, sign extending.
• i64x2_shuffleExperimentalsimd128
  Same as i8x16_shuffle, except operates as if the inputs were two 64-bit integers, only taking 2 indices to shuffle.
• i64x2_splatExperimentalsimd128
  Creates a vector with identical lanes.
• i64x2_subExperimentalsimd128
  Subtracts two 128-bit vectors as if they were two packed two 64-bit integers.
• memory_atomic_notify^⚠Experimentalatomics
  Corresponding intrinsic to wasm’s memory.atomic.notify instruction
• memory_atomic_wait32^⚠Experimentalatomics
  Corresponding intrinsic to wasm’s memory.atomic.wait32 instruction
• memory_atomic_wait64^⚠Experimentalatomics
  Corresponding intrinsic to wasm’s memory.atomic.wait64 instruction
• memory_growExperimental
  Corresponding intrinsic to wasm’s memory.grow instruction
• memory_sizeExperimental
  Corresponding intrinsic to wasm’s memory.size instruction
• throw^⚠Experimental
  Generates the throw instruction from the exception-handling proposal for WASM.
• u8x16Experimental
  Materializes a SIMD value from the provided operands.
• u8x16_addExperimentalsimd128
  Adds two 128-bit vectors as if they were two packed sixteen 8-bit integers.
• u8x16_add_satExperimentalsimd128
  Adds two 128-bit vectors as if they were two packed sixteen 8-bit unsigned integers, saturating on overflow to u8::MAX.
• u8x16_all_trueExperimentalsimd128
  Returns true if all lanes are non-zero, false otherwise.
• u8x16_avgrExperimentalsimd128
  Lane-wise rounding average.
• u8x16_bitmaskExperimentalsimd128
  Extracts the high bit for each lane in a and produce a scalar mask with all bits concatenated.
• u8x16_eqExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 16 eight-bit integers.
• u8x16_extract_laneExperimentalsimd128
  Extracts a lane from a 128-bit vector interpreted as 16 packed u8 numbers.
• u8x16_geExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 16 eight-bit unsigned integers.
• u8x16_gtExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 16 eight-bit unsigned integers.
• u8x16_leExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 16 eight-bit unsigned integers.
• u8x16_ltExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 16 eight-bit unsigned integers.
• u8x16_maxExperimentalsimd128
  Compares lane-wise unsigned integers, and returns the maximum of each pair.
• u8x16_minExperimentalsimd128
  Compares lane-wise unsigned integers, and returns the minimum of each pair.
• u8x16_narrow_i16x8Experimentalsimd128
  Converts two input vectors into a smaller lane vector by narrowing each lane.
• u8x16_neExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 16 eight-bit integers.
• u8x16_popcntExperimentalsimd128
  Count the number of bits set to one within each lane.
• u8x16_relaxed_laneselectExperimentalrelaxed-simd
  A relaxed version of v128_bitselect where this either behaves the same as v128_bitselect or the high bit of each lane m is inspected and the corresponding lane of a is chosen if the bit is 1 or the lane of b is chosen if it’s zero.
• u8x16_relaxed_swizzleExperimentalrelaxed-simd
  A relaxed version of i8x16_swizzle(a, s) which selects lanes from a using indices in s.
• u8x16_replace_laneExperimentalsimd128
  Replaces a lane from a 128-bit vector interpreted as 16 packed u8 numbers.
• u8x16_shlExperimentalsimd128
  Shifts each lane to the left by the specified number of bits.
• u8x16_shrExperimentalsimd128
  Shifts each lane to the right by the specified number of bits, shifting in zeros.
• u8x16_shuffleExperimentalsimd128
  Returns a new vector with lanes selected from the lanes of the two input vectors $a and $b specified in the 16 immediate operands.
• u8x16_splatExperimentalsimd128
  Creates a vector with identical lanes.
• u8x16_subExperimentalsimd128
  Subtracts two 128-bit vectors as if they were two packed sixteen 8-bit integers.
• u8x16_sub_satExperimentalsimd128
  Subtracts two 128-bit vectors as if they were two packed sixteen 8-bit unsigned integers, saturating on overflow to 0.
• u8x16_swizzleExperimentalsimd128
  Returns a new vector with lanes selected from the lanes of the first input vector a specified in the second input vector s.
• u16x8Experimental
  Materializes a SIMD value from the provided operands.
• u16x8_addExperimentalsimd128
  Adds two 128-bit vectors as if they were two packed eight 16-bit integers.
• u16x8_add_satExperimentalsimd128
  Adds two 128-bit vectors as if they were two packed eight 16-bit unsigned integers, saturating on overflow to u16::MAX.
• u16x8_all_trueExperimentalsimd128
  Returns true if all lanes are non-zero, false otherwise.
• u16x8_avgrExperimentalsimd128
  Lane-wise rounding average.
• u16x8_bitmaskExperimentalsimd128
  Extracts the high bit for each lane in a and produce a scalar mask with all bits concatenated.
• u16x8_eqExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 8 sixteen-bit integers.
• u16x8_extadd_pairwise_u8x16Experimentalsimd128
  Integer extended pairwise addition producing extended results (twice wider results than the inputs).
• u16x8_extend_high_u8x16Experimentalsimd128
  Converts high half of the smaller lane vector to a larger lane vector, zero extended.
• u16x8_extend_low_u8x16Experimentalsimd128
  Converts low half of the smaller lane vector to a larger lane vector, zero extended.
• u16x8_extmul_high_u8x16Experimentalsimd128
  Lane-wise integer extended multiplication producing twice wider result than the inputs.
• u16x8_extmul_low_u8x16Experimentalsimd128
  Lane-wise integer extended multiplication producing twice wider result than the inputs.
• u16x8_extract_laneExperimentalsimd128
  Extracts a lane from a 128-bit vector interpreted as 8 packed u16 numbers.
• u16x8_geExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 8 sixteen-bit unsigned integers.
• u16x8_gtExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 8 sixteen-bit unsigned integers.
• u16x8_leExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 8 sixteen-bit unsigned integers.
• u16x8_load_extend_u8x8^⚠Experimentalsimd128
  Load eight 8-bit integers and zero extend each one to a 16-bit lane
• u16x8_ltExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 8 sixteen-bit unsigned integers.
• u16x8_maxExperimentalsimd128
  Compares lane-wise unsigned integers, and returns the maximum of each pair.
• u16x8_minExperimentalsimd128
  Compares lane-wise unsigned integers, and returns the minimum of each pair.
• u16x8_mulExperimentalsimd128
  Multiplies two 128-bit vectors as if they were two packed eight 16-bit signed integers.
• u16x8_narrow_i32x4Experimentalsimd128
  Converts two input vectors into a smaller lane vector by narrowing each lane.
• u16x8_neExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 8 sixteen-bit integers.
• u16x8_relaxed_dot_i8x16_i7x16Experimentalrelaxed-simd
  A relaxed dot-product instruction.
• u16x8_relaxed_laneselectExperimentalrelaxed-simd
  A relaxed version of v128_bitselect where this either behaves the same as v128_bitselect or the high bit of each lane m is inspected and the corresponding lane of a is chosen if the bit is 1 or the lane of b is chosen if it’s zero.
• u16x8_relaxed_q15mulrExperimentalrelaxed-simd
  A relaxed version of i16x8_relaxed_q15mulr where if both lanes are i16::MIN then the result is either i16::MIN or i16::MAX.
• u16x8_replace_laneExperimentalsimd128
  Replaces a lane from a 128-bit vector interpreted as 8 packed u16 numbers.
• u16x8_shlExperimentalsimd128
  Shifts each lane to the left by the specified number of bits.
• u16x8_shrExperimentalsimd128
  Shifts each lane to the right by the specified number of bits, shifting in zeros.
• u16x8_shuffleExperimentalsimd128
  Same as i8x16_shuffle, except operates as if the inputs were eight 16-bit integers, only taking 8 indices to shuffle.
• u16x8_splatExperimentalsimd128
  Creates a vector with identical lanes.
• u16x8_subExperimentalsimd128
  Subtracts two 128-bit vectors as if they were two packed eight 16-bit integers.
• u16x8_sub_satExperimentalsimd128
  Subtracts two 128-bit vectors as if they were two packed eight 16-bit unsigned integers, saturating on overflow to 0.
• u32x4Experimental
  Materializes a SIMD value from the provided operands.
• u32x4_addExperimentalsimd128
  Adds two 128-bit vectors as if they were two packed four 32-bit integers.
• u32x4_all_trueExperimentalsimd128
  Returns true if all lanes are non-zero, false otherwise.
• u32x4_bitmaskExperimentalsimd128
  Extracts the high bit for each lane in a and produce a scalar mask with all bits concatenated.
• u32x4_eqExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 4 thirty-two-bit integers.
• u32x4_extadd_pairwise_u16x8Experimentalsimd128
  Integer extended pairwise addition producing extended results (twice wider results than the inputs).
• u32x4_extend_high_u16x8Experimentalsimd128
  Converts high half of the smaller lane vector to a larger lane vector, zero extended.
• u32x4_extend_low_u16x8Experimentalsimd128
  Converts low half of the smaller lane vector to a larger lane vector, zero extended.
• u32x4_extmul_high_u16x8Experimentalsimd128
  Lane-wise integer extended multiplication producing twice wider result than the inputs.
• u32x4_extmul_low_u16x8Experimentalsimd128
  Lane-wise integer extended multiplication producing twice wider result than the inputs.
• u32x4_extract_laneExperimentalsimd128
  Extracts a lane from a 128-bit vector interpreted as 4 packed u32 numbers.
• u32x4_geExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 4 thirty-two-bit unsigned integers.
• u32x4_gtExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 4 thirty-two-bit unsigned integers.
• u32x4_leExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 4 thirty-two-bit unsigned integers.
• u32x4_load_extend_u16x4^⚠Experimentalsimd128
  Load four 16-bit integers and zero extend each one to a 32-bit lane
• u32x4_ltExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 4 thirty-two-bit unsigned integers.
• u32x4_maxExperimentalsimd128
  Compares lane-wise unsigned integers, and returns the maximum of each pair.
• u32x4_minExperimentalsimd128
  Compares lane-wise unsigned integers, and returns the minimum of each pair.
• u32x4_mulExperimentalsimd128
  Multiplies two 128-bit vectors as if they were two packed four 32-bit signed integers.
• u32x4_neExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 4 thirty-two-bit integers.
• u32x4_relaxed_dot_i8x16_i7x16_addExperimentalrelaxed-simd
  Similar to i16x8_relaxed_dot_i8x16_i7x16 except that the intermediate i16x8 result is fed into i32x4_extadd_pairwise_i16x8 followed by i32x4_add to add the value c to the result.
• u32x4_relaxed_laneselectExperimentalrelaxed-simd
  A relaxed version of v128_bitselect where this either behaves the same as v128_bitselect or the high bit of each lane m is inspected and the corresponding lane of a is chosen if the bit is 1 or the lane of b is chosen if it’s zero.
• u32x4_relaxed_trunc_f32x4Experimentalrelaxed-simd
  A relaxed version of u32x4_trunc_sat_f32x4(a) converts the f32 lanes of a to unsigned 32-bit integers.
• u32x4_relaxed_trunc_f64x2_zeroExperimentalrelaxed-simd
  A relaxed version of u32x4_trunc_sat_f64x2_zero(a) converts the f64 lanes of a to unsigned 32-bit integers and the upper two lanes are zero.
• u32x4_replace_laneExperimentalsimd128
  Replaces a lane from a 128-bit vector interpreted as 4 packed u32 numbers.
• u32x4_shlExperimentalsimd128
  Shifts each lane to the left by the specified number of bits.
• u32x4_shrExperimentalsimd128
  Shifts each lane to the right by the specified number of bits, shifting in zeros.
• u32x4_shuffleExperimentalsimd128
  Same as i8x16_shuffle, except operates as if the inputs were four 32-bit integers, only taking 4 indices to shuffle.
• u32x4_splatExperimentalsimd128
  Creates a vector with identical lanes.
• u32x4_subExperimentalsimd128
  Subtracts two 128-bit vectors as if they were two packed four 32-bit integers.
• u32x4_trunc_sat_f32x4Experimentalsimd128
  Converts a 128-bit vector interpreted as four 32-bit floating point numbers into a 128-bit vector of four 32-bit unsigned integers.
• u32x4_trunc_sat_f64x2_zeroExperimentalsimd128
  Saturating conversion of the two double-precision floating point lanes to two lower integer lanes using the IEEE convertToIntegerTowardZero function.
• u64x2Experimental
  Materializes a SIMD value from the provided operands.
• u64x2_addExperimentalsimd128
  Adds two 128-bit vectors as if they were two packed two 64-bit integers.
• u64x2_all_trueExperimentalsimd128
  Returns true if all lanes are non-zero, false otherwise.
• u64x2_bitmaskExperimentalsimd128
  Extracts the high bit for each lane in a and produce a scalar mask with all bits concatenated.
• u64x2_eqExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 2 sixty-four-bit integers.
• u64x2_extend_high_u32x4Experimentalsimd128
  Converts high half of the smaller lane vector to a larger lane vector, zero extended.
• u64x2_extend_low_u32x4Experimentalsimd128
  Converts low half of the smaller lane vector to a larger lane vector, zero extended.
• u64x2_extmul_high_u32x4Experimentalsimd128
  Lane-wise integer extended multiplication producing twice wider result than the inputs.
• u64x2_extmul_low_u32x4Experimentalsimd128
  Lane-wise integer extended multiplication producing twice wider result than the inputs.
• u64x2_extract_laneExperimentalsimd128
  Extracts a lane from a 128-bit vector interpreted as 2 packed u64 numbers.
• u64x2_load_extend_u32x2^⚠Experimentalsimd128
  Load two 32-bit integers and zero extend each one to a 64-bit lane
• u64x2_mulExperimentalsimd128
  Multiplies two 128-bit vectors as if they were two packed two 64-bit integers.
• u64x2_neExperimentalsimd128
  Compares two 128-bit vectors as if they were two vectors of 2 sixty-four-bit integers.
• u64x2_relaxed_laneselectExperimentalrelaxed-simd
  A relaxed version of v128_bitselect where this either behaves the same as v128_bitselect or the high bit of each lane m is inspected and the corresponding lane of a is chosen if the bit is 1 or the lane of b is chosen if it’s zero.
• u64x2_replace_laneExperimentalsimd128
  Replaces a lane from a 128-bit vector interpreted as 2 packed u64 numbers.
• u64x2_shlExperimentalsimd128
  Shifts each lane to the left by the specified number of bits.
• u64x2_shrExperimentalsimd128
  Shifts each lane to the right by the specified number of bits, shifting in zeros.
• u64x2_shuffleExperimentalsimd128
  Same as i8x16_shuffle, except operates as if the inputs were two 64-bit integers, only taking 2 indices to shuffle.
• u64x2_splatExperimentalsimd128
  Creates a vector with identical lanes.
• u64x2_subExperimentalsimd128
  Subtracts two 128-bit vectors as if they were two packed two 64-bit integers.
• unreachableExperimental
  Generates the unreachable instruction, which causes an unconditional trap.
• v128_andExperimentalsimd128
  Performs a bitwise and of the two input 128-bit vectors, returning the resulting vector.
• v128_andnotExperimentalsimd128
  Bitwise AND of bits of a and the logical inverse of bits of b.
• v128_any_trueExperimentalsimd128
  Returns true if any bit in a is set, or false otherwise.
• v128_bitselectExperimentalsimd128
  Use the bitmask in c to select bits from v1 when 1 and v2 when 0.
• v128_load^⚠Experimentalsimd128
  Loads a v128 vector from the given heap address.
• v128_load8_lane^⚠Experimentalsimd128
  Loads an 8-bit value from m and sets lane L of v to that value.
• v128_load8_splat^⚠Experimentalsimd128
  Load a single element and splat to all lanes of a v128 vector.
• v128_load16_lane^⚠Experimentalsimd128
  Loads a 16-bit value from m and sets lane L of v to that value.
• v128_load16_splat^⚠Experimentalsimd128
  Load a single element and splat to all lanes of a v128 vector.
• v128_load32_lane^⚠Experimentalsimd128
  Loads a 32-bit value from m and sets lane L of v to that value.
• v128_load32_splat^⚠Experimentalsimd128
  Load a single element and splat to all lanes of a v128 vector.
• v128_load32_zero^⚠Experimentalsimd128
  Load a 32-bit element into the low bits of the vector and sets all other bits to zero.
• v128_load64_lane^⚠Experimentalsimd128
  Loads a 64-bit value from m and sets lane L of v to that value.
• v128_load64_splat^⚠Experimentalsimd128
  Load a single element and splat to all lanes of a v128 vector.
• v128_load64_zero^⚠Experimentalsimd128
  Load a 64-bit element into the low bits of the vector and sets all other bits to zero.
• v128_notExperimentalsimd128
  Flips each bit of the 128-bit input vector.
• v128_orExperimentalsimd128
  Performs a bitwise or of the two input 128-bit vectors, returning the resulting vector.
• v128_store^⚠Experimentalsimd128
  Stores a v128 vector to the given heap address.
• v128_store8_lane^⚠Experimentalsimd128
  Stores the 8-bit value from lane L of v into m
• v128_store16_lane^⚠Experimentalsimd128
  Stores the 16-bit value from lane L of v into m
• v128_store32_lane^⚠Experimentalsimd128
  Stores the 32-bit value from lane L of v into m
• v128_store64_lane^⚠Experimentalsimd128
  Stores the 64-bit value from lane L of v into m
• v128_xorExperimentalsimd128
  Performs a bitwise xor of the two input 128-bit vectors, returning the resulting vector.