Benchmark: Linear Blend Skinning 2

Linear Blend Skinning 2 (version: 1)

Comparing performance of: Warmup vs Original vs UpdatedEmscripten vs LoicRewrite vs SubarrayOnTrans vs SubarrayOnPos vs SubarrayOnTransAndPos vs SubarrayOnTransAndPosWithFRound vs SubarrayOnTransAndPosWithoutPlus vs PosInOutOfTheLoopF32Array vs PosInOutOfTheLoopF32ArrayFromSubarray vs PosInOutOfTheLoopVars vs CacheTransWithSubarray vs CacheTransWithSlice vs CacheTransWithF32ArraySetFromSubarray vs CacheTransWithVarsFromSubarray vs CacheTransWithArrayFromSubarray vs SubarrayOnPosAndCacheTransWithSubarray vs SubarrayOnPosAndCacheTransWithSubarrayAndInterleavingData vs SubarrayOnPosAndCacheTransWithSubarrayAndSmallTrans vs SubarrayOnPosAndCacheTransWithSubarrayAndInterleavingDataAndSmallTrans vs F64PosAndF64Trans vs F64PosAndF64TransAndF64Res vs I32Joint vs VarInsteadOfLetAndConst

Created: 10 months ago by: Registered User

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Script Preparation code:

debugger;
var position_count = 15000;
var joint_count = 30;
var max_number_of_consecutive_joints = 15;
var vertex_dim = 3;

var MEM_SIZE = 100*1024*1024;
var MEM_STRIDE = 2*1024*1024;

var MEM = new ArrayBuffer(MEM_SIZE);
var HEAP32 = new Int32Array(MEM);
var HEAPU32 = new Uint32Array(MEM);
var HEAPF32 = new Float32Array(MEM);
var HEAPF64 = new Float64Array(MEM);
var MEM_HEAD = 0;

function MEM_ALLOC(len) {
    let cur = MEM_HEAD;
    len += MEM_STRIDE;
    MEM_HEAD += len + (16 - (len % 16));
    return cur;
}

function splitmix32(a) {
    return function() {
      a |= 0; a = a + 0x9e3779b9 | 0;
      var t = a ^ a >>> 16; t = Math.imul(t, 0x21f0aaad);
          t = t ^ t >>> 15; t = Math.imul(t, 0x735a2d97);
      return ((t = t ^ t >>> 15) >>> 0) / 4294967296;
    }
}

Math_random = splitmix32(0);
Math_imul = Math.imul;
Math_fround = Math.fround;

if (typeof window !== 'undefined' && window.navigator && window.navigator.wakeLock)
    window.navigator.wakeLock.request('screen');

var positions = MEM_ALLOC(position_count * 3 * 4);

for (let i = 0; i < position_count; ++i) {
    const p = (positions >> 2) + i * 3;
    HEAPF32[p] = Math_random() * 100;
    HEAPF32[p + 1] = Math_random() * 100;
    HEAPF32[p + 2] = Math_random() * 100;
}

var repeat_last_joint = -1;
var last_joint;
function get_joint() {
    if (repeat_last_joint < 0) {
        repeat_last_joint = (Math_random() * max_number_of_consecutive_joints) |0;
        last_joint = Math_random() * (joint_count - 1) | 0;
    }
    repeat_last_joint -= 1;
    return last_joint;
}

var joints = MEM_ALLOC(position_count * 4);

for (let i = 0; i < position_count; ++i) {
    const p = (joints >> 2) + i;
    HEAPU32[p] = get_joint();
}

var transformations = MEM_ALLOC(joint_count * 16 * 4);

for (let i = 0; i < joint_count; ++i) {
    const p = (transformations >> 2) + i * 16;
    for (let j = 0; j < 16; ++j)
        HEAPF32[p + j] = Math_random() * 100;
}

var res = MEM_ALLOC(position_count * 3 * 4);

var positions_and_joints = MEM_ALLOC(position_count * 4 * 4);

for (let i = 0; i < position_count; ++i) {
    const p = (positions_and_joints >> 2) + i * 4;
    HEAPU32[p] = get_joint();
    HEAPF32[p + 1] = Math_random() * 100;
    HEAPF32[p + 2] = Math_random() * 100;
    HEAPF32[p + 3] = Math_random() * 100;
}

var small_transformations = MEM_ALLOC(joint_count * 12 * 4);

for (let i = 0; i < joint_count; ++i) {
    const p = (small_transformations >> 2) + i * 12;
    for (let j = 0; j < 12; ++j)
        HEAPF32[p + j] = Math_random() * 100;
}

var positions_f64 = MEM_ALLOC(position_count * 3 * 8);

for (let i = 0; i < position_count; ++i) {
    const p = (positions_f64 >> 3) + i * 3;
    HEAPF64[p] = Math_random() * 100;
    HEAPF64[p + 1] = Math_random() * 100;
    HEAPF64[p + 2] = Math_random() * 100;
}

var transformations_f64 = MEM_ALLOC(joint_count * 16 * 8);

for (let i = 0; i < joint_count; ++i) {
    const p = (transformations_f64 >> 3) + i * 16;
    for (let j = 0; j < 16; ++j)
        HEAPF64[p + j] = Math_random() * 100;
}

var res_f64 = MEM_ALLOC(position_count * 3 * 8);

var vertexCount = position_count;

var positions_view = HEAPF32.subarray(positions >> 2, (positions >> 2) + position_count * 3);
var joints_view = HEAPU32.subarray(joints >> 2, (joints >> 2) + position_count);
var transformations_view = HEAPF32.subarray(transformations >> 2, (transformations >> 2) + joint_count * 16);
var res_view = HEAPF32.subarray(res >> 2, (res >> 2) + position_count * 3);
var positions_and_joints_uview = HEAPU32.subarray(positions_and_joints >> 2, (positions_and_joints >> 2) + position_count * 4);
var positions_and_joints_fview = HEAPF32.subarray(positions_and_joints >> 2, (positions_and_joints >> 2) + position_count * 4);
var small_transformations_view = HEAPF32.subarray(small_transformations >> 2, (small_transformations >> 2) + joint_count * 12);
var positions_f64_view = HEAPF64.subarray(positions_f64 >> 3, (positions_f64 >> 3) + position_count * 3);
var transformations_f64_view = HEAPF64.subarray(transformations_f64 >> 3, (transformations_f64 >> 3) + joint_count * 16);
debugger;

function Warmup() {
    let a = 0;
    for (let i = 0; i < 8000000; i++) {
        a += Math.exp(Math_random()) * Math.exp(Math_random()) * Math.exp(Math_random()) * Math.exp(Math_random());
    }
}

function void_20mat_mult_4_2c_204_2c_204_2c_204_2c_20float__28int_2c_20float_20_28__29_20_5b4_5d_2c_20float_20const_20_28__29_20_5b4_5d_2c_20float_20const_20_28__29_20_5b4_5d_5b4_5d_29($0, $1, $2, $3) {
 var $4 = 0, $5 = 0, $6 = 0;
 if (($0 | 0) >= 1) {
  while (1) {
   $4 = $6 << 4;
   $5 = $4 + $1 | 0;
   $4 = $2 + $4 | 0;
   HEAPF32[$5 >> 2] = Math_fround(Math_fround(Math_fround(Math_fround(HEAPF32[$4 >> 2] * HEAPF32[$3 >> 2]) + Math_fround(0)) + Math_fround(HEAPF32[$4 + 4 >> 2] * HEAPF32[$3 + 16 >> 2])) + Math_fround(HEAPF32[$4 + 8 >> 2] * HEAPF32[$3 + 32 >> 2])) + Math_fround(HEAPF32[$4 + 12 >> 2] * HEAPF32[$3 + 48 >> 2]);
   HEAPF32[$5 + 4 >> 2] = Math_fround(Math_fround(Math_fround(Math_fround(HEAPF32[$4 >> 2] * HEAPF32[$3 + 4 >> 2]) + Math_fround(0)) + Math_fround(HEAPF32[$4 + 4 >> 2] * HEAPF32[$3 + 20 >> 2])) + Math_fround(HEAPF32[$4 + 8 >> 2] * HEAPF32[$3 + 36 >> 2])) + Math_fround(HEAPF32[$4 + 12 >> 2] * HEAPF32[$3 + 52 >> 2]);
   HEAPF32[$5 + 8 >> 2] = Math_fround(Math_fround(Math_fround(Math_fround(HEAPF32[$4 >> 2] * HEAPF32[$3 + 8 >> 2]) + Math_fround(0)) + Math_fround(HEAPF32[$4 + 4 >> 2] * HEAPF32[$3 + 24 >> 2])) + Math_fround(HEAPF32[$4 + 8 >> 2] * HEAPF32[$3 + 40 >> 2])) + Math_fround(HEAPF32[$4 + 12 >> 2] * HEAPF32[$3 + 56 >> 2]);
   HEAPF32[$5 + 12 >> 2] = Math_fround(Math_fround(Math_fround(Math_fround(HEAPF32[$4 >> 2] * HEAPF32[$3 + 12 >> 2]) + Math_fround(0)) + Math_fround(HEAPF32[$4 + 4 >> 2] * HEAPF32[$3 + 28 >> 2])) + Math_fround(HEAPF32[$4 + 8 >> 2] * HEAPF32[$3 + 44 >> 2])) + Math_fround(HEAPF32[$4 + 12 >> 2] * HEAPF32[$3 + 60 >> 2]);
   $6 = $6 + 1 | 0;
   if (($6 | 0) != ($0 | 0)) {
    continue;
   }
   break;
  }
 }
}
   
function do_affine_28float__2c_20unsigned_20long_2c_20int_2c_20float__2c_20unsigned_20int__2c_20float_20_28__29_20_5b4_5d_5b4_5d_29($0, $1, $2, $3, $4, $5) {
 var $6 = 0, $7 = 0, $8 = 0, $9 = 0;
 if (($1 | 0) > 0) {
  $9 = $2 + -2 | 0;
  while (1) {
   label$3 : {
    if ($9 >>> 0 > 2) {
     break label$3;
    }
    $2 = HEAP32[($7 << 2) + $4 >> 2];
    label$4 : {
     switch ($9 - 1 | 0) {
     default:
      $6 = $7 << 3;
      $8 = $6 + $0 | 0;
      $2 = ($2 << 6) + $5 | 0;
      $6 = $3 + $6 | 0;
      HEAPF32[$8 >> 2] = HEAPF32[$2 + 48 >> 2] + Math_fround(HEAPF32[$2 + 32 >> 2] + Math_fround(Math_fround(Math_fround(HEAPF32[$6 >> 2] * HEAPF32[$2 >> 2]) + Math_fround(0)) + Math_fround(HEAPF32[$6 + 4 >> 2] * HEAPF32[$2 + 16 >> 2])));
      HEAPF32[$8 + 4 >> 2] = HEAPF32[$2 + 52 >> 2] + Math_fround(HEAPF32[$2 + 36 >> 2] + Math_fround(Math_fround(Math_fround(HEAPF32[$6 >> 2] * HEAPF32[$2 + 4 >> 2]) + Math_fround(0)) + Math_fround(HEAPF32[$6 + 4 >> 2] * HEAPF32[$2 + 20 >> 2])));
      break label$3;
     case 0:
      $6 = Math_imul($7, 12);
      $8 = $6 + $0 | 0;
      $2 = ($2 << 6) + $5 | 0;
      $6 = $3 + $6 | 0;
      HEAPF32[$8 >> 2] = HEAPF32[$2 + 48 >> 2] + Math_fround(Math_fround(Math_fround(Math_fround(HEAPF32[$6 >> 2] * HEAPF32[$2 >> 2]) + Math_fround(0)) + Math_fround(HEAPF32[$6 + 4 >> 2] * HEAPF32[$2 + 16 >> 2])) + Math_fround(HEAPF32[$6 + 8 >> 2] * HEAPF32[$2 + 32 >> 2]));
      HEAPF32[$8 + 4 >> 2] = HEAPF32[$2 + 52 >> 2] + Math_fround(Math_fround(Math_fround(Math_fround(HEAPF32[$6 >> 2] * HEAPF32[$2 + 4 >> 2]) + Math_fround(0)) + Math_fround(HEAPF32[$6 + 4 >> 2] * HEAPF32[$2 + 20 >> 2])) + Math_fround(HEAPF32[$6 + 8 >> 2] * HEAPF32[$2 + 36 >> 2]));
      HEAPF32[$8 + 8 >> 2] = HEAPF32[$2 + 56 >> 2] + Math_fround(Math_fround(Math_fround(Math_fround(HEAPF32[$6 >> 2] * HEAPF32[$2 + 8 >> 2]) + Math_fround(0)) + Math_fround(HEAPF32[$6 + 4 >> 2] * HEAPF32[$2 + 24 >> 2])) + Math_fround(HEAPF32[$6 + 8 >> 2] * HEAPF32[$2 + 40 >> 2]));
      break label$3;
     case 1:
      break label$4;
     }
    }
    $6 = $7 << 4;
    void_20mat_mult_4_2c_204_2c_204_2c_204_2c_20float__28int_2c_20float_20_28__29_20_5b4_5d_2c_20float_20const_20_28__29_20_5b4_5d_2c_20float_20const_20_28__29_20_5b4_5d_5b4_5d_29(1, $6 + $0 | 0, $3 + $6 | 0, ($2 << 6) + $5 | 0);
   }
   $7 = $7 + 1 | 0;
   if (($7 | 0) != ($1 | 0)) {
    continue;
   }
   break;
  }
 }
}

function Original() {
    do_affine_28float__2c_20unsigned_20long_2c_20int_2c_20float__2c_20unsigned_20int__2c_20float_20_28__29_20_5b4_5d_5b4_5d_29(res, vertexCount, vertex_dim, positions, joints, transformations);
}

function UpdatedEmscripten() {
 var $3 = 0, $9 = Math_fround(0), $10 = 0, $11 = 0, $14 = 0, $15 = 0, $17 = 0, $24 = 0, $25 = 0, $27 = 0, $28 = 0;
 var $5 = position_count, $7 = transformations, $4 = res, $2 = vertex_dim, $12 = positions, $16 = joints, $8 = 0;
 if (($5 | 0) > 0) {
  $17 = $2 - 2 | 0;
  while (1) {
   $14 = HEAP32[$16 + ($8 << 2) >> 2];
   label$594: {
    label$595: {
     switch ($17 | 0) {
     case 0:
      $2 = $8 << 3;
      $24 = $2 + $12 | 0;
      $25 = $2 + $4 | 0;
      $11 = 0;
      $2 = 1;
      while (1) {
       $9 = Math_fround(0);
       $10 = 1;
       $3 = 0;
       while (1) {
        $15 = $11 << 2;
        $27 = $7 + ($14 << 6) | 0;
        $9 = Math_fround(Math_fround(HEAPF32[$24 + ($3 << 2) >> 2] * HEAPF32[$15 + ($27 + ($3 << 4) | 0) >> 2]) + $9);
        $3 = 1;
        $28 = $10 & 1;
        $10 = 0;
        if ($28) {
         continue;
        }
        break;
       }
       $3 = $15 + $27 | 0;
       HEAPF32[$15 + $25 >> 2] = Math_fround($9 + HEAPF32[$3 + 32 >> 2]) + HEAPF32[$3 + 48 >> 2];
       $11 = 1;
       $3 = $2;
       $2 = 0;
       if ($3) {
        continue;
       }
       break;
      }
      ;
      break label$594;
     case 1:
      $2 = Math_imul($8, 12);
      $11 = $2 + $12 | 0;
      $15 = $2 + $4 | 0;
      $10 = 0;
      while (1) {
       $9 = Math_fround(0);
       $3 = 0;
       while (1) {
        $2 = $10 << 2;
        $24 = $7 + ($14 << 6) | 0;
        $9 = Math_fround(Math_fround(HEAPF32[$11 + ($3 << 2) >> 2] * HEAPF32[$2 + ($24 + ($3 << 4) | 0) >> 2]) + $9);
        $3 = $3 + 1 | 0;
        if (($3 | 0) != 3) {
         continue;
        }
        break;
       }
       HEAPF32[$2 + $15 >> 2] = $9 + HEAPF32[($2 + $24 | 0) + 48 >> 2];
       $10 = $10 + 1 | 0;
       if (($10 | 0) != 3) {
        continue;
       }
       break;
      }
      ;
      break label$594;
     case 2:
      break label$595;
     default:
      break label$594;
     }
    }
    $2 = $8 << 4;
    $11 = $2 + $12 | 0;
    $2 = $2 + $4 | 0;
    $10 = 0;
    while (1) {
     $9 = Math_fround(0);
     $3 = 0;
     while (1) {
      $15 = $10 << 2;
      $9 = Math_fround(Math_fround(HEAPF32[$11 + ($3 << 2) >> 2] * HEAPF32[$15 + (($7 + ($14 << 6) | 0) + ($3 << 4) | 0) >> 2]) + $9);
      $3 = $3 + 1 | 0;
      if (($3 | 0) != 4) {
       continue;
      }
      break;
     }
     HEAPF32[$2 + $15 >> 2] = $9;
     $10 = $10 + 1 | 0;
     if (($10 | 0) != 4) {
      continue;
     }
     break;
    }
   }
   $8 = $8 + 1 | 0;
   if (($5 | 0) != ($8 | 0)) {
    continue;
   }
   break;
  }
 }
 $10 = 15;
}

function LoicRewrite() {
    let resPosition_F32 = res >> 2;
    const endResPosition_F32 = (res >> 2) + Math_imul(vertexCount, 3) | 0;
    let position_F32 = positions >> 2;
    let joint_U32 = joints >> 2;
    const transformations_F32 = transformations >> 2;

    while (resPosition_F32 >>> 0 < endResPosition_F32 >>> 0) {
        const J = HEAPU32[joint_U32];
        const M = transformations_F32 + (J << 4) | 0;
        const P1 = +HEAPF32[position_F32];
        const P2 = +HEAPF32[position_F32 + 1 | 0];
        const P3 = +HEAPF32[position_F32 + 2 | 0];
    
        HEAPF32[resPosition_F32        ] = P1 * +HEAPF32[M        ] + P2 * +HEAPF32[M + 4 | 0] + P3 * +HEAPF32[M +  8 | 0] + +HEAPF32[M + 12 | 0];
        HEAPF32[resPosition_F32 + 1 | 0] = P1 * +HEAPF32[M + 1 | 0] + P2 * +HEAPF32[M + 5 | 0] + P3 * +HEAPF32[M +  9 | 0] + +HEAPF32[M + 13 | 0];
        HEAPF32[resPosition_F32 + 2 | 0] = P1 * +HEAPF32[M + 2 | 0] + P2 * +HEAPF32[M + 6 | 0] + P3 * +HEAPF32[M + 10 | 0] + +HEAPF32[M + 14 | 0];
    
        resPosition_F32 = resPosition_F32 + 3 | 0;
        position_F32 = position_F32 + 3 | 0;
        joint_U32 = joint_U32 + 1 | 0;
    }
}

function SubarrayOnTrans() {
    let resPosition_F32 = res >> 2;
    const endResPosition_F32 = (res >> 2) + Math_imul(vertexCount, 3) | 0;
    let position_F32 = positions >> 2;
    let joint_U32 = joints >> 2;
    const transformations_F32 = transformations >> 2;

    while (resPosition_F32 >>> 0 < endResPosition_F32 >>> 0) {
        const J = HEAPU32[joint_U32];
        const M = transformations_F32 + (J << 4) | 0;
        const MAT = HEAPF32.subarray(M, M + 16 | 0);
    
        const P1 = +HEAPF32[position_F32];
        const P2 = +HEAPF32[position_F32 + 1 | 0];
        const P3 = +HEAPF32[position_F32 + 2 | 0];
    
        HEAPF32[resPosition_F32        ] = P1 * +MAT[0] + P2 * +MAT[4] + P3 * +MAT[ 8] + +MAT[12];
        HEAPF32[resPosition_F32 + 1 | 0] = P1 * +MAT[1] + P2 * +MAT[5] + P3 * +MAT[ 9] + +MAT[13];
        HEAPF32[resPosition_F32 + 2 | 0] = P1 * +MAT[2] + P2 * +MAT[6] + P3 * +MAT[10] + +MAT[14];
    
        resPosition_F32 = resPosition_F32 + 3 | 0;
        position_F32 = position_F32 + 3 | 0;
        joint_U32 = joint_U32 + 1 | 0;
    }
}

function SubarrayOnPos() {
    let resPosition_F32 = res >> 2;
    const endResPosition_F32 = (res >> 2) + Math_imul(vertexCount, 3) | 0;
    let position_F32 = positions >> 2;
    let joint_U32 = joints >> 2;
    const transformations_F32 = transformations >> 2;

    while (resPosition_F32 >>> 0 < endResPosition_F32 >>> 0) {
        const J = HEAPU32[joint_U32];
        const M = transformations_F32 + (J << 4) | 0;
        const POS = HEAPF32.subarray(position_F32, position_F32 + 3 | 0);
    
        HEAPF32[resPosition_F32        ] = +POS[0] * +HEAPF32[M        ] + +POS[1] * +HEAPF32[M + 4 | 0] + +POS[2] * +HEAPF32[M +  8 | 0] + +HEAPF32[M + 12 | 0];
        HEAPF32[resPosition_F32 + 1 | 0] = +POS[0] * +HEAPF32[M + 1 | 0] + +POS[1] * +HEAPF32[M + 5 | 0] + +POS[2] * +HEAPF32[M +  9 | 0] + +HEAPF32[M + 13 | 0];
        HEAPF32[resPosition_F32 + 2 | 0] = +POS[0] * +HEAPF32[M + 2 | 0] + +POS[1] * +HEAPF32[M + 6 | 0] + +POS[2] * +HEAPF32[M + 10 | 0] + +HEAPF32[M + 14 | 0];
    
        resPosition_F32 = resPosition_F32 + 3 | 0;
        position_F32 = position_F32 + 3 | 0;
        joint_U32 = joint_U32 + 1 | 0;
    }
}

function SubarrayOnTransAndPos() {
    let resPosition_F32 = res >> 2;
    const endResPosition_F32 = (res >> 2) + Math_imul(vertexCount, 3) | 0;
    let position_F32 = positions >> 2;
    let joint_U32 = joints >> 2;
    const transformations_F32 = transformations >> 2;

    while (resPosition_F32 >>> 0 < endResPosition_F32 >>> 0) {
        const J = HEAPU32[joint_U32];
        const M = transformations_F32 + (J << 4) | 0;
        const MAT = HEAPF32.subarray(M, M + 16 | 0);
        const POS = HEAPF32.subarray(position_F32, position_F32 + 3 | 0);
    
        HEAPF32[resPosition_F32        ] = +POS[0] * +MAT[0] + +POS[1] * +MAT[4] + +POS[2] * +MAT[ 8] + +MAT[12];
        HEAPF32[resPosition_F32 + 1 | 0] = +POS[0] * +MAT[1] + +POS[1] * +MAT[5] + +POS[2] * +MAT[ 9] + +MAT[13];
        HEAPF32[resPosition_F32 + 2 | 0] = +POS[0] * +MAT[2] + +POS[1] * +MAT[6] + +POS[2] * +MAT[10] + +MAT[14];
    
        resPosition_F32 = resPosition_F32 + 3 | 0;
        position_F32 = position_F32 + 3 | 0;
        joint_U32 = joint_U32 + 1 | 0;
    }
}

function SubarrayOnTransAndPosWithFRound() {
    let resPosition_F32 = res >> 2;
    const endResPosition_F32 = (res >> 2) + Math_imul(vertexCount, 3) | 0;
    let position_F32 = positions >> 2;
    let joint_U32 = joints >> 2;
    const transformations_F32 = transformations >> 2;

    while (resPosition_F32 >>> 0 < endResPosition_F32 >>> 0) {
        const J = HEAPU32[joint_U32];
        const M = transformations_F32 + (J << 4) | 0;
        const MAT = HEAPF32.subarray(M, M + 16 | 0);
        const POS = HEAPF32.subarray(position_F32, position_F32 + 3 | 0);
    
        HEAPF32[resPosition_F32        ] = Math.fround(Math.fround(Math.fround(Math.fround(Math.fround(POS[0]) * Math.fround(MAT[0])) + Math.fround(Math.fround(POS[1]) * Math.fround(MAT[4]))) + Math.fround(Math.fround(POS[2]) * Math.fround(MAT[ 8]))) + Math.fround(MAT[12]));
        HEAPF32[resPosition_F32 + 1 | 0] = Math.fround(Math.fround(Math.fround(Math.fround(Math.fround(POS[0]) * Math.fround(MAT[1])) + Math.fround(Math.fround(POS[1]) * Math.fround(MAT[5]))) + Math.fround(Math.fround(POS[2]) * Math.fround(MAT[ 9]))) + Math.fround(MAT[13]));
        HEAPF32[resPosition_F32 + 2 | 0] = Math.fround(Math.fround(Math.fround(Math.fround(Math.fround(POS[0]) * Math.fround(MAT[2])) + Math.fround(Math.fround(POS[1]) * Math.fround(MAT[6]))) + Math.fround(Math.fround(POS[2]) * Math.fround(MAT[10]))) + Math.fround(MAT[14]));
    
        resPosition_F32 = resPosition_F32 + 3 | 0;
        position_F32 = position_F32 + 3 | 0;
        joint_U32 = joint_U32 + 1 | 0;
    }
}

function SubarrayOnTransAndPosWithoutPlus() {
    let resPosition_F32 = res >> 2;
    const endResPosition_F32 = (res >> 2) + Math_imul(vertexCount, 3) | 0;
    let position_F32 = positions >> 2;
    let joint_U32 = joints >> 2;
    const transformations_F32 = transformations >> 2;

    while (resPosition_F32 >>> 0 < endResPosition_F32 >>> 0) {
        const J = HEAPU32[joint_U32];
        const M = transformations_F32 + (J << 4) | 0;
        const MAT = HEAPF32.subarray(M, M + 16 | 0);
        const POS = HEAPF32.subarray(position_F32, position_F32 + 3 | 0);
    
        HEAPF32[resPosition_F32        ] = POS[0] * MAT[0] + POS[1] * MAT[4] + POS[2] * MAT[ 8] + MAT[12];
        HEAPF32[resPosition_F32 + 1 | 0] = POS[0] * MAT[1] + POS[1] * MAT[5] + POS[2] * MAT[ 9] + MAT[13];
        HEAPF32[resPosition_F32 + 2 | 0] = POS[0] * MAT[2] + POS[1] * MAT[6] + POS[2] * MAT[10] + MAT[14];
    
        resPosition_F32 = resPosition_F32 + 3 | 0;
        position_F32 = position_F32 + 3 | 0;
        joint_U32 = joint_U32 + 1 | 0;
    }
}

function PosInOutOfTheLoopF32Array() {
    let resPosition_F32 = res >> 2;
    const endResPosition_F32 = (res >> 2) + Math_imul(vertexCount, 3) | 0;
    let position_F32 = positions >> 2;
    let joint_U32 = joints >> 2;
    const transformations_F32 = transformations >> 2;

    let POS = new Float32Array(3);

    while (resPosition_F32 >>> 0 < endResPosition_F32 >>> 0) {
        const J = HEAPU32[joint_U32];
        const M = transformations_F32 + (J << 4) | 0;

        POS[0] = +HEAPF32[position_F32];
        POS[1] = +HEAPF32[position_F32 + 1 | 0];
        POS[2] = +HEAPF32[position_F32 + 2 | 0];

        HEAPF32[resPosition_F32        ] = +POS[0] * +HEAPF32[M        ] + +POS[1] * +HEAPF32[M + 4 | 0] + +POS[2] * +HEAPF32[M +  8 | 0] + +HEAPF32[M + 12 | 0];
        HEAPF32[resPosition_F32 + 1 | 0] = +POS[0] * +HEAPF32[M + 1 | 0] + +POS[1] * +HEAPF32[M + 5 | 0] + +POS[2] * +HEAPF32[M +  9 | 0] + +HEAPF32[M + 13 | 0];
        HEAPF32[resPosition_F32 + 2 | 0] = +POS[0] * +HEAPF32[M + 2 | 0] + +POS[1] * +HEAPF32[M + 6 | 0] + +POS[2] * +HEAPF32[M + 10 | 0] + +HEAPF32[M + 14 | 0];
    
        resPosition_F32 = resPosition_F32 + 3 | 0;
        position_F32 = position_F32 + 3 | 0;
        joint_U32 = joint_U32 + 1 | 0;
    }
}

function PosInOutOfTheLoopF32ArrayFromSubarray() {
    let resPosition_F32 = res >> 2;
    const endResPosition_F32 = (res >> 2) + Math_imul(vertexCount, 3) | 0;
    let position_F32 = positions >> 2;
    let joint_U32 = joints >> 2;
    const transformations_F32 = transformations >> 2;

    let POS = new Float32Array(3);

    while (resPosition_F32 >>> 0 < endResPosition_F32 >>> 0) {
        const J = HEAPU32[joint_U32];
        const M = transformations_F32 + (J << 4) | 0;
        POS.set(HEAPF32.subarray(position_F32, position_F32 + 3 | 0));
    
        HEAPF32[resPosition_F32        ] = +POS[0] * +HEAPF32[M        ] + +POS[1] * +HEAPF32[M + 4 | 0] + +POS[2] * +HEAPF32[M +  8 | 0] + +HEAPF32[M + 12 | 0];
        HEAPF32[resPosition_F32 + 1 | 0] = +POS[0] * +HEAPF32[M + 1 | 0] + +POS[1] * +HEAPF32[M + 5 | 0] + +POS[2] * +HEAPF32[M +  9 | 0] + +HEAPF32[M + 13 | 0];
        HEAPF32[resPosition_F32 + 2 | 0] = +POS[0] * +HEAPF32[M + 2 | 0] + +POS[1] * +HEAPF32[M + 6 | 0] + +POS[2] * +HEAPF32[M + 10 | 0] + +HEAPF32[M + 14 | 0];
    
        resPosition_F32 = resPosition_F32 + 3 | 0;
        position_F32 = position_F32 + 3 | 0;
        joint_U32 = joint_U32 + 1 | 0;
    }
}

function PosInOutOfTheLoopVars() {
    let resPosition_F32 = res >> 2;
    const endResPosition_F32 = (res >> 2) + Math_imul(vertexCount, 3) | 0;
    let position_F32 = positions >> 2;
    let joint_U32 = joints >> 2;
    const transformations_F32 = transformations >> 2;

    let P1, P2, P3;

    while (resPosition_F32 >>> 0 < endResPosition_F32 >>> 0) {
        const J = HEAPU32[joint_U32];
        const M = transformations_F32 + (J << 4) | 0;
        P1 = +HEAPF32[position_F32];
        P2 = +HEAPF32[position_F32 + 1 | 0];
        P3 = +HEAPF32[position_F32 + 2 | 0];
    
        HEAPF32[resPosition_F32        ] = P1 * +HEAPF32[M        ] + P2 * +HEAPF32[M + 4 | 0] + P3 * +HEAPF32[M +  8 | 0] + +HEAPF32[M + 12 | 0];
        HEAPF32[resPosition_F32 + 1 | 0] = P1 * +HEAPF32[M + 1 | 0] + P2 * +HEAPF32[M + 5 | 0] + P3 * +HEAPF32[M +  9 | 0] + +HEAPF32[M + 13 | 0];
        HEAPF32[resPosition_F32 + 2 | 0] = P1 * +HEAPF32[M + 2 | 0] + P2 * +HEAPF32[M + 6 | 0] + P3 * +HEAPF32[M + 10 | 0] + +HEAPF32[M + 14 | 0];
    
        resPosition_F32 = resPosition_F32 + 3 | 0;
        position_F32 = position_F32 + 3 | 0;
        joint_U32 = joint_U32 + 1 | 0;
    }
}

function CacheTransWithSubarray() {
    let resPosition_F32 = res >> 2;
    const endResPosition_F32 = (res >> 2) + Math_imul(vertexCount, 3) | 0;
    let position_F32 = positions >> 2;
    let joint_U32 = joints >> 2;
    const transformations_F32 = transformations >> 2;

    let J = -1|0, MAT;

    while (resPosition_F32 >>> 0 < endResPosition_F32 >>> 0) {
        const NJ = HEAPU32[joint_U32];
        if (NJ != J) {
            J = NJ;
            const M = transformations_F32 + (J << 4) | 0;
            MAT = HEAPF32.subarray(M, M + 16 | 0);    
        }
    
        const P1 = +HEAPF32[position_F32];
        const P2 = +HEAPF32[position_F32 + 1 | 0];
        const P3 = +HEAPF32[position_F32 + 2 | 0];
    
        HEAPF32[resPosition_F32        ] = P1 * +MAT[0] + P2 * +MAT[4] + P3 * +MAT[ 8] + +MAT[12];
        HEAPF32[resPosition_F32 + 1 | 0] = P1 * +MAT[1] + P2 * +MAT[5] + P3 * +MAT[ 9] + +MAT[13];
        HEAPF32[resPosition_F32 + 2 | 0] = P1 * +MAT[2] + P2 * +MAT[6] + P3 * +MAT[10] + +MAT[14];
    
        resPosition_F32 = resPosition_F32 + 3 | 0;
        position_F32 = position_F32 + 3 | 0;
        joint_U32 = joint_U32 + 1 | 0;
    }
}

function CacheTransWithSlice() {
    let resPosition_F32 = res >> 2;
    const endResPosition_F32 = (res >> 2) + Math_imul(vertexCount, 3) | 0;
    let position_F32 = positions >> 2;
    let joint_U32 = joints >> 2;
    const transformations_F32 = transformations >> 2;

    let J = -1|0, MAT;

    while (resPosition_F32 >>> 0 < endResPosition_F32 >>> 0) {
        const NJ = HEAPU32[joint_U32];
        if (NJ != J) {
            J = NJ;
            const M = transformations_F32 + (J << 4) | 0;
            MAT = HEAPF32.slice(M, M + 16 | 0);    
        }
    
        const P1 = +HEAPF32[position_F32];
        const P2 = +HEAPF32[position_F32 + 1 | 0];
        const P3 = +HEAPF32[position_F32 + 2 | 0];
    
        HEAPF32[resPosition_F32        ] = P1 * +MAT[0] + P2 * +MAT[4] + P3 * +MAT[ 8] + +MAT[12];
        HEAPF32[resPosition_F32 + 1 | 0] = P1 * +MAT[1] + P2 * +MAT[5] + P3 * +MAT[ 9] + +MAT[13];
        HEAPF32[resPosition_F32 + 2 | 0] = P1 * +MAT[2] + P2 * +MAT[6] + P3 * +MAT[10] + +MAT[14];
    
        resPosition_F32 = resPosition_F32 + 3 | 0;
        position_F32 = position_F32 + 3 | 0;
        joint_U32 = joint_U32 + 1 | 0;
    }
}

function CacheTransWithF32ArraySetFromSubarray() {
    let resPosition_F32 = res >> 2;
    const endResPosition_F32 = (res >> 2) + Math_imul(vertexCount, 3) | 0;
    let position_F32 = positions >> 2;
    let joint_U32 = joints >> 2;
    const transformations_F32 = transformations >> 2;

    let J = -1|0, MAT = new Float32Array(16);

    while (resPosition_F32 >>> 0 < endResPosition_F32 >>> 0) {
        const NJ = HEAPU32[joint_U32];
        if (NJ != J) {
            J = NJ;
            const M = transformations_F32 + (J << 4) | 0;
            MAT.set(HEAPF32.subarray(M, M + 16 | 0));    
        }
    
        const P1 = +HEAPF32[position_F32];
        const P2 = +HEAPF32[position_F32 + 1 | 0];
        const P3 = +HEAPF32[position_F32 + 2 | 0];
    
        HEAPF32[resPosition_F32        ] = P1 * +MAT[0] + P2 * +MAT[4] + P3 * +MAT[ 8] + +MAT[12];
        HEAPF32[resPosition_F32 + 1 | 0] = P1 * +MAT[1] + P2 * +MAT[5] + P3 * +MAT[ 9] + +MAT[13];
        HEAPF32[resPosition_F32 + 2 | 0] = P1 * +MAT[2] + P2 * +MAT[6] + P3 * +MAT[10] + +MAT[14];
    
        resPosition_F32 = resPosition_F32 + 3 | 0;
        position_F32 = position_F32 + 3 | 0;
        joint_U32 = joint_U32 + 1 | 0;
    }
}

function CacheTransWithVarsFromSubarray() {
    let resPosition_F32 = res >> 2;
    const endResPosition_F32 = (res >> 2) + Math_imul(vertexCount, 3) | 0;
    let position_F32 = positions >> 2;
    let joint_U32 = joints >> 2;
    const transformations_F32 = transformations >> 2;

    let J = -1|0;
    // let M0 = Math.fround(0), M1 = Math.fround(0), M2 = Math.fround(0), M4 = Math.fround(0), M5 = Math.fround(0), M6 = Math.fround(0), M8 = Math.fround(0), M9 = Math.fround(0), M10 = Math.fround(0), M12 = Math.fround(0), M13 = Math.fround(0), M14 = Math.fround(0);
    let M0 , M1 , M2 , M4 , M5 , M6 , M8 , M9 , M10 , M12 , M13 , M14 ;

    while (resPosition_F32 >>> 0 < endResPosition_F32 >>> 0) {
        const NJ = HEAPU32[joint_U32];
        if (NJ != J) {
            J = NJ;
            const M = transformations_F32 + (J << 4) | 0;
            const MAT = HEAPF32.subarray(M, M + 16 | 0);
            M0 = MAT[0];
            M1 = MAT[1];
            M2 = MAT[2];
            M4 = MAT[4];
            M5 = MAT[5];
            M6= MAT[6];
            M8 = MAT[8];
            M9 = MAT[9];
            M10 = MAT[10];
            M12 = MAT[12];
            M13 = MAT[13];
            M14 = MAT[14];
        }

        const P1 = +HEAPF32[position_F32];
        const P2 = +HEAPF32[position_F32 + 1 | 0];
        const P3 = +HEAPF32[position_F32 + 2 | 0];

        HEAPF32[resPosition_F32        ] = P1 * M0 + P2 * M4 + P3 *  M8 + M12;
        HEAPF32[resPosition_F32 + 1 | 0] = P1 * M1 + P2 * M5 + P3 *  M9 + M13;
        HEAPF32[resPosition_F32 + 2 | 0] = P1 * M2 + P2 * M6 + P3 * M10 + M14;

        resPosition_F32 = resPosition_F32 + 3 | 0;
        position_F32 = position_F32 + 3 | 0;
        joint_U32 = joint_U32 + 1 | 0;
    }
}

function CacheTransWithArrayFromSubarray() {
    let resPosition_F32 = res >> 2;
    const endResPosition_F32 = (res >> 2) + Math_imul(vertexCount, 3) | 0;
    let position_F32 = positions >> 2;
    let joint_U32 = joints >> 2;
    const transformations_F32 = transformations >> 2;

    let J = -1|0;
    // let M = [Math.fround(0), Math.fround(0), Math.fround(0), Math.fround(0), Math.fround(0), Math.fround(0), Math.fround(0), Math.fround(0), Math.fround(0), Math.fround(0), Math.fround(0), Math.fround(0)];
    let M = [];

    while (resPosition_F32 >>> 0 < endResPosition_F32 >>> 0) {
        const NJ = HEAPU32[joint_U32];
        if (NJ != J) {
            J = NJ;
            const M = transformations_F32 + (J << 4) | 0;
            const MAT = HEAPF32.subarray(M, M + 16 | 0);
            M[0] = MAT[0];
            M[1] = MAT[1];
            M[2] = MAT[2];
            M[3] = MAT[4];
            M[4] = MAT[5];
            M[5] = MAT[6];
            M[6] = MAT[8];
            M[7] = MAT[9];
            M[8] = MAT[10];
            M[9] = MAT[12];
            M[10] = MAT[13];
            M[11] = MAT[14];
        }
    
        const P1 = +HEAPF32[position_F32];
        const P2 = +HEAPF32[position_F32 + 1 | 0];
        const P3 = +HEAPF32[position_F32 + 2 | 0];
    
        HEAPF32[resPosition_F32        ] = P1 * +M[0] + P2 * +M[3] + P3 * +M[6] + +M[9];
        HEAPF32[resPosition_F32 + 1 | 0] = P1 * +M[1] + P2 * +M[4] + P3 * +M[7] + +M[10];
        HEAPF32[resPosition_F32 + 2 | 0] = P1 * +M[2] + P2 * +M[5] + P3 * +M[8] + +M[11];
    
        resPosition_F32 = resPosition_F32 + 3 | 0;
        position_F32 = position_F32 + 3 | 0;
        joint_U32 = joint_U32 + 1 | 0;
    }
}

function SubarrayOnPosAndCacheTransWithSubarray() {
    let resPosition_F32 = res >> 2;
    const endResPosition_F32 = (res >> 2) + Math_imul(vertexCount, 3) | 0;
    let position_F32 = positions >> 2;
    let joint_U32 = joints >> 2;
    const transformations_F32 = transformations >> 2;

    let J = -1|0, MAT;

    while (resPosition_F32 >>> 0 < endResPosition_F32 >>> 0) {
        const NJ = HEAPU32[joint_U32];
        if (NJ != J) {
            J = NJ;
            const M = transformations_F32 + (J << 4) | 0;
            MAT = HEAPF32.subarray(M, M + 16 | 0);    
        }
    
        const POS = HEAPF32.subarray(position_F32, position_F32 + 3 | 0);
    
        HEAPF32[resPosition_F32        ] = +POS[0] * +MAT[0] + +POS[1] * +MAT[4] + +POS[2] * +MAT[ 8] + +MAT[12];
        HEAPF32[resPosition_F32 + 1 | 0] = +POS[0] * +MAT[1] + +POS[1] * +MAT[5] + +POS[2] * +MAT[ 9] + +MAT[13];
        HEAPF32[resPosition_F32 + 2 | 0] = +POS[0] * +MAT[2] + +POS[1] * +MAT[6] + +POS[2] * +MAT[10] + +MAT[14];
    
        resPosition_F32 = resPosition_F32 + 3 | 0;
        position_F32 = position_F32 + 3 | 0;
        joint_U32 = joint_U32 + 1 | 0;
    }
}

function SubarrayOnPosAndCacheTransWithSubarrayAndInterleavingData() {
    let resPosition_F32 = res >> 2;
    const endResPosition_F32 = (res >> 2) + Math_imul(vertexCount, 3) | 0;
    let positions_and_joints_32 = positions_and_joints >> 2;
    const transformations_F32 = transformations >> 2;

    let J = -1|0, MAT;

    while (resPosition_F32 >>> 0 < endResPosition_F32 >>> 0) {
        const NJ = HEAPU32[positions_and_joints_32];
        if (NJ != J) {
            J = NJ;
            const M = transformations_F32 + (J << 4) | 0;
            MAT = HEAPF32.subarray(M, M + 16 | 0);    
        }
    
        const POS = HEAPF32.subarray(positions_and_joints_32 + 1 | 0, positions_and_joints_32 + 3 | 0);
    
        HEAPF32[resPosition_F32        ] = +POS[0] * +MAT[0] + +POS[1] * +MAT[4] + +POS[2] * +MAT[ 8] + +MAT[12];
        HEAPF32[resPosition_F32 + 1 | 0] = +POS[0] * +MAT[1] + +POS[1] * +MAT[5] + +POS[2] * +MAT[ 9] + +MAT[13];
        HEAPF32[resPosition_F32 + 2 | 0] = +POS[0] * +MAT[2] + +POS[1] * +MAT[6] + +POS[2] * +MAT[10] + +MAT[14];
    
        resPosition_F32 = resPosition_F32 + 3 | 0;
        positions_and_joints_32 = positions_and_joints_32 + 4 | 0;
    }
}

function SubarrayOnPosAndCacheTransWithSubarrayAndSmallTrans() {
    let resPosition_F32 = res >> 2;
    const endResPosition_F32 = (res >> 2) + Math_imul(vertexCount, 3) | 0;
    let position_F32 = positions >> 2;
    let joint_U32 = joints >> 2;
    const transformations_F32 = small_transformations >> 2;

    let J = -1|0, MAT;

    while (resPosition_F32 >>> 0 < endResPosition_F32 >>> 0) {
        const NJ = HEAPU32[joint_U32];
        if (NJ != J) {
            J = NJ;
            const M = transformations_F32 + Math_imul(J, 12) | 0;
            MAT = HEAPF32.subarray(M, M + 12 | 0);
        }
    
        const POS = HEAPF32.subarray(position_F32, position_F32 + 3 | 0);
    
        HEAPF32[resPosition_F32        ] = +POS[0] * +MAT[0] + +POS[1] * +MAT[3] + +POS[2] * +MAT[6] + +MAT[ 9];
        HEAPF32[resPosition_F32 + 1 | 0] = +POS[0] * +MAT[1] + +POS[1] * +MAT[4] + +POS[2] * +MAT[7] + +MAT[10];
        HEAPF32[resPosition_F32 + 2 | 0] = +POS[0] * +MAT[2] + +POS[1] * +MAT[5] + +POS[2] * +MAT[8] + +MAT[11];
    
        resPosition_F32 = resPosition_F32 + 3 | 0;
        position_F32 = position_F32 + 3 | 0;
        joint_U32 = joint_U32 + 1 | 0;
    }
}

function SubarrayOnPosAndCacheTransWithSubarrayAndInterleavingDataAndSmallTrans() {
    let resPosition_F32 = res >> 2;
    const endResPosition_F32 = (res >> 2) + Math_imul(vertexCount, 3) | 0;
    let positions_and_joints_32 = positions_and_joints >> 2;
    const transformations_F32 = small_transformations >> 2;

    let J = -1|0, MAT;

    while (resPosition_F32 >>> 0 < endResPosition_F32 >>> 0) {
        const NJ = HEAPU32[positions_and_joints_32];
        if (NJ != J) {
            J = NJ;
            const M = transformations_F32 + Math_imul(J, 12) | 0;
            MAT = HEAPF32.subarray(M, M + 12 | 0);
        }
    
        const POS = HEAPF32.subarray(positions_and_joints_32 + 1 | 0, positions_and_joints_32 + 3 | 0);
    
        HEAPF32[resPosition_F32        ] = +POS[0] * +MAT[0] + +POS[1] * +MAT[3] + +POS[2] * +MAT[6] + +MAT[ 9];
        HEAPF32[resPosition_F32 + 1 | 0] = +POS[0] * +MAT[1] + +POS[1] * +MAT[4] + +POS[2] * +MAT[7] + +MAT[10];
        HEAPF32[resPosition_F32 + 2 | 0] = +POS[0] * +MAT[2] + +POS[1] * +MAT[5] + +POS[2] * +MAT[8] + +MAT[11];
    
        resPosition_F32 = resPosition_F32 + 3 | 0;
        positions_and_joints_32 = positions_and_joints_32 + 4 | 0;
    }
}

function F64PosAndF64Trans() {
    let resPosition_F32 = res >> 2;
    const endResPosition_F32 = (res >> 2) + Math_imul(vertexCount, 3) | 0;
    let position_F64 = positions_f64 >> 3;
    let joint_U32 = joints >> 2;
    const transformations_F64 = transformations_f64 >> 3;

    while (resPosition_F32 >>> 0 < endResPosition_F32 >>> 0) {
        const J = HEAPU32[joint_U32];
        const M = transformations_F64 + (J << 4) | 0;
        const P1 = +HEAPF64[position_F64];
        const P2 = +HEAPF64[position_F64 + 1 | 0];
        const P3 = +HEAPF64[position_F64 + 2 | 0];
    
        HEAPF32[resPosition_F32        ] = P1 * +HEAPF64[M        ] + P2 * +HEAPF64[M + 4 | 0] + P3 * +HEAPF64[M +  8 | 0] + +HEAPF64[M + 12 | 0];
        HEAPF32[resPosition_F32 + 1 | 0] = P1 * +HEAPF64[M + 1 | 0] + P2 * +HEAPF64[M + 5 | 0] + P3 * +HEAPF64[M +  9 | 0] + +HEAPF64[M + 13 | 0];
        HEAPF32[resPosition_F32 + 2 | 0] = P1 * +HEAPF64[M + 2 | 0] + P2 * +HEAPF64[M + 6 | 0] + P3 * +HEAPF64[M + 10 | 0] + +HEAPF64[M + 14 | 0];
    
        resPosition_F32 = resPosition_F32 + 3 | 0;
        position_F64 = position_F64 + 3 | 0;
        joint_U32 = joint_U32 + 1 | 0;
    }
}

function F64PosAndF64TransAndF64Res() {
    let resPosition_F64 = res_f64 >> 3;
    const endResPosition_F64 = (res_f64 >> 3) + Math_imul(vertexCount, 3) | 0;
    let position_F64 = positions_f64 >> 3;
    let joint_U32 = joints >> 2;
    const transformations_F64 = transformations_f64 >> 3;

    while (resPosition_F64 >>> 0 < endResPosition_F64 >>> 0) {
        const J = HEAPU32[joint_U32];
        const M = transformations_F64 + (J << 4) | 0;
        const P1 = +HEAPF64[position_F64];
        const P2 = +HEAPF64[position_F64 + 1 | 0];
        const P3 = +HEAPF64[position_F64 + 2 | 0];
    
        HEAPF32[resPosition_F64        ] = P1 * +HEAPF64[M        ] + P2 * +HEAPF64[M + 4 | 0] + P3 * +HEAPF64[M +  8 | 0] + +HEAPF64[M + 12 | 0];
        HEAPF32[resPosition_F64 + 1 | 0] = P1 * +HEAPF64[M + 1 | 0] + P2 * +HEAPF64[M + 5 | 0] + P3 * +HEAPF64[M +  9 | 0] + +HEAPF64[M + 13 | 0];
        HEAPF32[resPosition_F64 + 2 | 0] = P1 * +HEAPF64[M + 2 | 0] + P2 * +HEAPF64[M + 6 | 0] + P3 * +HEAPF64[M + 10 | 0] + +HEAPF64[M + 14 | 0];
    
        resPosition_F64 = resPosition_F64 + 3 | 0;
        position_F64 = position_F64 + 3 | 0;
        joint_U32 = joint_U32 + 1 | 0;
    }
}

function I32Joint() {
    let resPosition_F32 = res >> 2;
    const endResPosition_F32 = (res >> 2) + Math_imul(vertexCount, 3) | 0;
    let position_F32 = positions >> 2;
    let joint_I32 = joints >> 2;
    const transformations_F32 = transformations >> 2;

    while (resPosition_F32 >>> 0 < endResPosition_F32 >>> 0) {
        const J = HEAP32[joint_I32];
        const M = transformations_F32 + Math_imul(J, 16) | 0;
        const P1 = +HEAPF32[position_F32];
        const P2 = +HEAPF32[position_F32 + 1 | 0];
        const P3 = +HEAPF32[position_F32 + 2 | 0];
    
        HEAPF32[resPosition_F32        ] = P1 * +HEAPF32[M        ] + P2 * +HEAPF32[M + 4 | 0] + P3 * +HEAPF32[M +  8 | 0] + +HEAPF32[M + 12 | 0];
        HEAPF32[resPosition_F32 + 1 | 0] = P1 * +HEAPF32[M + 1 | 0] + P2 * +HEAPF32[M + 5 | 0] + P3 * +HEAPF32[M +  9 | 0] + +HEAPF32[M + 13 | 0];
        HEAPF32[resPosition_F32 + 2 | 0] = P1 * +HEAPF32[M + 2 | 0] + P2 * +HEAPF32[M + 6 | 0] + P3 * +HEAPF32[M + 10 | 0] + +HEAPF32[M + 14 | 0];
    
        resPosition_F32 = resPosition_F32 + 3 | 0;
        position_F32 = position_F32 + 3 | 0;
        joint_I32 = joint_I32 + 1 | 0;
    }
}

function VarInsteadOfLetAndConst() {
    var resPosition_F32 = res >> 2;
    var endResPosition_F32 = (res >> 2) + Math_imul(vertexCount, 3) | 0;
    var position_F32 = positions >> 2;
    var joint_U32 = joints >> 2;
    var transformations_F32 = transformations >> 2;
    var J, M, P1, P2, P3;

    while (resPosition_F32 >>> 0 < endResPosition_F32 >>> 0) {
        J = HEAPU32[joint_U32];
        M = transformations_F32 + (J << 4) | 0;
        P1 = +HEAPF32[position_F32];
        P2 = +HEAPF32[position_F32 + 1 | 0];
        P3 = +HEAPF32[position_F32 + 2 | 0];
    
        HEAPF32[resPosition_F32        ] = P1 * +HEAPF32[M        ] + P2 * +HEAPF32[M + 4 | 0] + P3 * +HEAPF32[M +  8 | 0] + +HEAPF32[M + 12 | 0];
        HEAPF32[resPosition_F32 + 1 | 0] = P1 * +HEAPF32[M + 1 | 0] + P2 * +HEAPF32[M + 5 | 0] + P3 * +HEAPF32[M +  9 | 0] + +HEAPF32[M + 13 | 0];
        HEAPF32[resPosition_F32 + 2 | 0] = P1 * +HEAPF32[M + 2 | 0] + P2 * +HEAPF32[M + 6 | 0] + P3 * +HEAPF32[M + 10 | 0] + +HEAPF32[M + 14 | 0];
    
        resPosition_F32 = resPosition_F32 + 3 | 0;
        position_F32 = position_F32 + 3 | 0;
        joint_U32 = joint_U32 + 1 | 0;
    }
}

Tests:

Warmup
Warmup()
Original
Original()
UpdatedEmscripten
UpdatedEmscripten()
LoicRewrite
LoicRewrite()
SubarrayOnTrans
SubarrayOnTrans()
SubarrayOnPos
SubarrayOnPos()
SubarrayOnTransAndPos
SubarrayOnTransAndPos()
SubarrayOnTransAndPosWithFRound
SubarrayOnTransAndPosWithFRound()
SubarrayOnTransAndPosWithoutPlus
SubarrayOnTransAndPosWithoutPlus()
PosInOutOfTheLoopF32Array
PosInOutOfTheLoopF32Array()
PosInOutOfTheLoopF32ArrayFromSubarray
PosInOutOfTheLoopF32ArrayFromSubarray()
PosInOutOfTheLoopVars
PosInOutOfTheLoopVars()
CacheTransWithSubarray
CacheTransWithSubarray()
CacheTransWithSlice
CacheTransWithSlice()
CacheTransWithF32ArraySetFromSubarray
CacheTransWithF32ArraySetFromSubarray()
CacheTransWithVarsFromSubarray
CacheTransWithVarsFromSubarray()
CacheTransWithArrayFromSubarray
CacheTransWithArrayFromSubarray()
SubarrayOnPosAndCacheTransWithSubarray
SubarrayOnPosAndCacheTransWithSubarray()
SubarrayOnPosAndCacheTransWithSubarrayAndInterleavingData
SubarrayOnPosAndCacheTransWithSubarrayAndInterleavingData()
SubarrayOnPosAndCacheTransWithSubarrayAndSmallTrans
SubarrayOnPosAndCacheTransWithSubarrayAndSmallTrans()
SubarrayOnPosAndCacheTransWithSubarrayAndInterleavingDataAndSmallTrans
SubarrayOnPosAndCacheTransWithSubarrayAndInterleavingDataAndSmallTrans()
F64PosAndF64Trans
F64PosAndF64Trans()
F64PosAndF64TransAndF64Res
F64PosAndF64TransAndF64Res()
I32Joint
I32Joint()
VarInsteadOfLetAndConst
VarInsteadOfLetAndConst()

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Warmup
Original
UpdatedEmscripten
LoicRewrite
SubarrayOnTrans
SubarrayOnPos
SubarrayOnTransAndPos
SubarrayOnTransAndPosWithFRound
SubarrayOnTransAndPosWithoutPlus
PosInOutOfTheLoopF32Array
PosInOutOfTheLoopF32ArrayFromSubarray
PosInOutOfTheLoopVars
CacheTransWithSubarray
CacheTransWithSlice
CacheTransWithF32ArraySetFromSubarray
CacheTransWithVarsFromSubarray
CacheTransWithArrayFromSubarray
SubarrayOnPosAndCacheTransWithSubarray
SubarrayOnPosAndCacheTransWithSubarrayAndInterleavingData
SubarrayOnPosAndCacheTransWithSubarrayAndSmallTrans
SubarrayOnPosAndCacheTransWithSubarrayAndInterleavingDataAndSmallTrans
F64PosAndF64Trans
F64PosAndF64TransAndF64Res
I32Joint
VarInsteadOfLetAndConst

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated one month ago):

LLMs can make mistakes. Check important info.

Latest run results:

Run details: (Test run date: 9 months ago)

User agent: Mozilla/5.0 (Android 13; Mobile; rv:122.0) Gecko/122.0 Firefox/122.0

Browser/OS: Firefox Mobile 122 on Android

View result in a separate tab

Test name	Executions per second
Warmup	0.6 Ops/sec
F64PosAndF64TransAndF64Res	3678.8 Ops/sec
F64PosAndF64Trans	3329.7 Ops/sec
SubarrayOnPosAndCacheTransWithSubarrayAndInterleavingDataAndSmallTrans	190.4 Ops/sec
SubarrayOnPosAndCacheTransWithSubarrayAndSmallTrans	239.6 Ops/sec
SubarrayOnPosAndCacheTransWithSubarrayAndInterleavingData	280.1 Ops/sec
SubarrayOnPosAndCacheTransWithSubarray	274.3 Ops/sec
CacheTransWithArrayFromSubarray	124.4 Ops/sec
CacheTransWithVarsFromSubarray	982.4 Ops/sec
CacheTransWithF32ArraySetFromSubarray	872.6 Ops/sec
CacheTransWithSlice	1279.7 Ops/sec
I32Joint	3219.9 Ops/sec
CacheTransWithSubarray	1161.3 Ops/sec
PosInOutOfTheLoopF32ArrayFromSubarray	201.0 Ops/sec
PosInOutOfTheLoopF32Array	2442.0 Ops/sec
SubarrayOnTransAndPosWithoutPlus	193.4 Ops/sec
SubarrayOnTransAndPosWithFRound	175.0 Ops/sec
SubarrayOnTransAndPos	168.2 Ops/sec
SubarrayOnPos	269.4 Ops/sec
SubarrayOnTrans	325.6 Ops/sec
LoicRewrite	3642.1 Ops/sec
UpdatedEmscripten	1110.6 Ops/sec
Original	1673.6 Ops/sec
PosInOutOfTheLoopVars	3295.5 Ops/sec
VarInsteadOfLetAndConst	2739.7 Ops/sec

Related benchmarks:

Linear Blend Skinning 2 (version: 1)

Created: 10 months ago by: Registered User

Jump to the latest result

Warmup

Original

UpdatedEmscripten

LoicRewrite

SubarrayOnTrans

SubarrayOnPos

SubarrayOnTransAndPos

SubarrayOnTransAndPosWithFRound

SubarrayOnTransAndPosWithoutPlus

PosInOutOfTheLoopF32Array

PosInOutOfTheLoopF32ArrayFromSubarray

PosInOutOfTheLoopVars

CacheTransWithSubarray

CacheTransWithSlice

CacheTransWithF32ArraySetFromSubarray

CacheTransWithVarsFromSubarray

CacheTransWithArrayFromSubarray

SubarrayOnPosAndCacheTransWithSubarray

SubarrayOnPosAndCacheTransWithSubarrayAndInterleavingData

SubarrayOnPosAndCacheTransWithSubarrayAndSmallTrans

SubarrayOnPosAndCacheTransWithSubarrayAndInterleavingDataAndSmallTrans

F64PosAndF64Trans

F64PosAndF64TransAndF64Res

I32Joint

VarInsteadOfLetAndConst

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated one month ago):